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Job DescriptionDescription: Job Summary We're opening eyes, hearts and minds to the impact that a pharmacy team can have in changing lives. Join our group of talented, committed team members-pharmacists, pharmacy care coordinators, technologists, product strategists and more-to create and expand the delivery of personalized health support that people didn't even know could be possible. The Senior Analytics Engineer for Stellus Rx will help our communities thrive as a key member of the Technology Team. You will work closely with Stellus Rx leaders and across the organization as we work collaboratively to unlock the health of millions of Americans by turning "use as prescribed" into a guarantee, not a direction. We are a culture that is unabashedly driven by purpose — making a difference to our patients and team members while growing at an accelerated rate. In this evolved role, you will leverage AI-powered tooling, MCP-enabled integrations, and prompt-based development as core parts of your day-to-day workflow — accelerating how clean, reliable data gets transformed into actionable insights and business-ready reports. Accountabilities: • Data Quality & Preparation - The engineer is accountable for taking raw data from data engineers and ensuring it is clean, well-organized, and compliant with data hygiene best practices — essentially making data trustworthy and ready for use., • Data Modeling & Transformation Designing and maintaining meaningful data structures (using Kimball dimensional modeling methodology) that give end users the context they need to answer their own business questions without needing engineering support., • BI & Reporting Delivery Translating business requirements into finished reports, dashboards, and visualizations — and increasingly doing so efficiently through prompt-based development workflows with AI tools., • Integration & Pipeline Ownership Building and maintaining integrated views of data from multiple sources, including MCP-enabled connections between data warehouses and BI tools like Qlik or Tableau., • Documentation & Data Governance Maintaining consistent definitions, schemas, and documentation across the data team so everyone speaks the same data language — a critical accountability in a regulated healthcare environment., • AI Tooling Adoption Actively using and championing AI-powered tools within their own workflow, and sharing those practices with teammates to lift the team's overall productivity., • Stakeholder Enablement & Training Bridging the gap between technical data systems and business users — training analysts, pharmacists, coordinators, and other stakeholders to be self-sufficient with data tools., • Analytics Project Leadership Leading analytics projects end-to-end, from scoping and design through to operationalization, including building project plans and managing milestones. Role and Responsibilities: Core Analytics Engineering • Take data compiled by data engineers and clean it in compliance with data hygiene best practices, • Organize and transform data in a meaningful way, providing additional context to make it ready for analysis, • Work with data engineers to streamline upstream processes so that data is cleaner earlier in the pipeline, • Maintain documentation related to datasets and analysis, ensuring consistent language and definitions across the data team, • Build and maintain complex databases in partnership with the technology team, • Create integrated views of data collected from multiple sources, • Develop and use tools, algorithms, and processes for data mining and data visualization to generate decision-ready reports, • Train business analysts and key stakeholders to use various data tools effectively, • Discover opportunities for the organization to improve systems, enterprises, and processes through the use of data analytics AI-Assisted Development & Automation Tooling • Use AI-powered tools and automation platforms (e.g., Claude, ChatGPT, GitHub Copilot, or similar) as active parts of the engineering workflow — accelerating data transformation, SQL development, pipeline troubleshooting, and documentation, • Apply AI tooling to automate repetitive tasks such as data profiling, schema documentation, anomaly flagging, and test case generation, • Continuously evaluate and adopt emerging AI tools that improve the speed, quality, and consistency of analytics engineering work, • Share AI productivity practices with teammates to raise the overall capability of the data team MCP-Enabled BI Integrations • Configure and maintain MCP (Model Context Protocol) connections between data sources and BI/visualization tools such as Qlik, Tableau, or equivalent platforms, • Ensure MCP-connected data contexts are well-structured, performant, and aligned with organizational data governance standards, • Collaborate with BI developers and data consumers to troubleshoot, optimize, and expand MCP-based integrations as reporting needs evolve, • Document MCP configurations and integration patterns to support team scalability and knowledge transfer Prompt-Based BI & Report Development • Use conversational AI tools (e.g., Claude, ChatGPT) to accelerate the development of BI reports, dashboards, and data visualizations through prompt-based workflows, • Translate business requirements into well-structured prompts that produce accurate SQL, data models, chart specifications, and report logic, • Iterate on and refine AI-generated outputs — validating against source data, applying domain knowledge, and ensuring results meet accuracy and compliance standards, • Build and maintain a library of reusable prompts for recurring reporting needs (e.g., adherence reporting, patient risk summaries, formulary analysis) to promote consistency and efficiency, • Document prompt-to-report workflows so that patterns can be shared, reviewed, and reused across the data teamRequirements: Qualifications and Requirements: • Positive and solution-oriented mindset, • Comfort working in a highly agile, intensely iterative environment, • Self-motivated and self-managing, with strong task and project organizational skills, • Great communication: regularly achieve consensus among technical and business teams, • Demonstrated capacity to communicate complex technical requirements and recommendations clearly and concisely, • Extensive experience in the healthcare and pharmaceutical industry, • Demonstrated experience in one or more business subject areas: marketing, finance, sales, product, customer success, customer support, engineering, or people operations, • 6+ years in the data space as an analyst, engineer, scientist, or equivalent, • 4+ years designing, implementing, operating, and extending commercial Kimball enterprise dimensional models, • 4+ years working with a large-scale Data Warehouse in a cloud environment, • 2+ years building reports and dashboards in a data visualization tool, • 1+ years actively using AI tools (LLMs, code assistants, or AI-powered automation) as part of a professional data or analytics workflow, • 1+ years working with MCP-based or equivalent connector/integration configurations within BI platforms, • 1+ years using prompt-based development techniques to generate or accelerate production-quality SQL, data models, or reports, • 1+ years creating project plans to identify tasks, milestones, and deliverables, • Demonstrated experience leading 4+ analytics projects from inception to operationalization, • Demonstrated experience designing and socializing Entity Relationship Diagrams and reference SQL scripts to scale data acumen and adoption, • Experience working with multiple cloud data warehouses, ETL tools, and data visualization technologies, • Bilingual in Spanish and English Preferred Experience: • Experience with AWS, Snowflake, Talend, Tableau, or Qlik, • Hands-on experience using Claude, ChatGPT, GitHub Copilot, or similar AI assistants in a data engineering or analytics context, • Familiarity with MCP server/client configurations within Qlik or comparable BI tools, • Background in healthcare data standards (HL7, FHIR, NCPDP) and data privacy requirements in regulated environments, • Prior experience documenting and socializing AI-assisted development workflows with a broader team

Job DescriptionDescription: Job Summary We're opening eyes, hearts and minds to the impact that a pharmacy team can have in changing lives. Join our group of talented, committed team members-pharmacists, pharmacy care coordinators, technologists, product strategists and more-to create and expand the delivery of personalized health support that people didn't even know could be possible. The Senior Data Engineer for Stellus Rx will be a key member of our Technology Team, working closely with Stellus Rx leaders and across the organization to unlock the health of millions of Americans. We are a culture that is unabashedly driven by purpose — making a difference to patients and team members while growing at an accelerated rate. This role is built for a data engineer who uses AI as an active part of their workflow — accelerating pipeline development, automating data quality processes, and enabling richer, faster insights across our Cloud Analytics Data Platform rather than relying on manual, repetitive engineering approaches. Role and Responsibilities: AI-Augmented Pipeline Development & Automation • Develop, construct, and maintain large-scale data processing systems that collect data from a variety of structured and unstructured sources — using AI code generation tools to accelerate pipeline authoring, reduce boilerplate, and improve code quality., • Build and optimize ELT pipelines using AI-assisted tooling to identify bottlenecks, suggest optimizations, and automate routine pipeline maintenance tasks., • Identify, design, and implement internal process improvements: use AI to automate manual processes, optimize data delivery, and re-design infrastructure for greater scalability — replacing manual analysis with AI-driven discovery of improvement opportunities., • Build the infrastructure required for optimal extraction, transformation, and loading of data from various sources; use AI to accelerate infrastructure-as-code authoring and configuration. AI-Ready Data Preparation & ML Enablement • Prepare data for data scientist exploration and discovery using AI-assisted data profiling and quality assessment tools — surfacing anomalies, schema drift, and data gaps faster than manual inspection allows., • Perform data wrangling and munging for downstream analytics and machine learning; leverage AI tools to generate and validate transformation logic against business rules., • Assemble large, complex datasets that meet functional and non-functional business requirements; use AI to rapidly evaluate dimensional modeling approaches and ontology alignment strategies., • Enable large-scale machine learning by designing and maintaining annotated datasets, elastic search approaches, and scalable data lake structures that support AI/ML workloads. Analytics Pipeline & Insight Generation • Create and maintain analytics pipelines that generate data and insight to power business decision-making; use AI-assisted analysis to proactively surface trends, anomalies, and opportunities within pipeline outputs., • Collaborate with data scientists, analysts, and business stakeholders on requirements for dimensional modeling, distributed ETL pipelines, and cross-repository data migration., • Evaluate, compare, and improve design patterns, data lifecycle approaches, and data ontology alignment — using AI to model trade-offs and accelerate proof-of-concept validation., • Work with data and analytics experts to continuously improve the functionality, reliability, and intelligence of data systems. Root Cause Analysis & Quality Management • Perform root cause analysis on internal and external data and processes using AI-assisted investigation tools — replacing slow, manual log and lineage review with faster, AI-accelerated diagnostics., • Develop and maintain data quality frameworks; use AI to automate anomaly detection, schema validation, and data contract enforcement across pipelines., • Develop a strong understanding of company domains, strategic direction, and user needs to ensure data systems are aligned to business outcomes, not just technical requirements.Requirements: Qualifications and Requirements: • 4+ years of experience in a Data Engineer role., • Graduate degree in Computer Science, Statistics, Informatics, Information Systems, or another quantitative field., • Advanced SQL knowledge and experience with relational databases and query authoring., • Required: Demonstrated, hands-on experience using AI tools to accelerate data engineering tasks — pipeline development, data quality automation, code generation, or root cause analysis — with specific examples you can speak to., • Experience building and optimizing data pipelines, architectures, and datasets., • Strong analytic skills working with unstructured and disconnected datasets., • Experience with big data tools: Hadoop, Spark, Kafka, etc., • Experience with relational and NoSQL databases including Postgres and Cassandra., • Experience with pipeline and workflow management tools: Airflow, Luigi, Azkaban, or similar., • Experience with AWS cloud services: EC2, EMR, RDS, Redshift., • Experience with stream-processing systems: Storm, Spark Streaming, or similar., • Working knowledge of message queuing, stream processing, and highly scalable data stores., • Proficiency in object-oriented/scripting languages: Python, Java, Scala, C++, or similar., • Experience supporting cross-functional teams in dynamic, agile environments. Preferred Experience: • Experience designing or supporting data infrastructure for AI/ML model training, including annotated datasets and feature stores., • Familiarity with AI-assisted data quality or observability platforms (e.g., Monte Carlo, Soda, or similar)., • Experience with LLM-based data processing pipelines or retrieval-augmented generation (RAG) architectures., • Healthcare data experience; familiarity with FHIR/HL7 standards a plus., • High English proficiency

Company Description BPS Bioscience Inc. is a leading developer and manufacturer of research tools for various scientific fields, including bromodomains, CAR-T therapy, cell signaling pathways, Coronavirus, CRISPR, deacetylases, demethylases, immunotherapy, kinases, methyltransferases, phosphodiesterase's, phosphatases, poly ADP ribose polymerases, and ubiquitin enzymes. The company is headquartered in San Diego, California and provides custom protein expression, biochemical and cell-based assays, cell line development, CRISPR, BLI and compound screening services. BPS Bioscience is scientist founded and driven, focusing on providing quality life science products and services to accelerate drug discovery and development for treatment of human diseases. Job Overview The Territory Sales Manager is a full-time, exempt, remote position. The Territory Sales Manager will be responsible for managing and expanding customer accounts within the assigned territory, while adhering to the company's policies and procedures. The Territory Sales Manager will also be responsible for using market analysis data and customer knowledge to develop and implement sales strategies while ensuring customer satisfaction. Responsibilities: • Build and maintain a network of sources to identify new sales leads., • Identify, qualify, and close new business opportunities in the biotech and life sciences sectors within the assigned territory., • Negotiate and close sales opportunities., • Communicate with customers and seek to understand their product or service needs; recommend appropriate solutions., • Demonstrate the functions and utility of products or services tailored to customer needs., • Maintain and grow existing accounts through regular follow-ups, customer service, and relationship management to ensure repeat business; document all activities in CRM tools., • Conduct in-person visits with prospective and existing clients to present BPS’ product portfolio to C-suite executives, researchers, lab managers, and procurement teams., • Ensure customer satisfaction through ongoing communication and relationship management; resolve post-sale issues promptly., • Collaborate with internal technical specialists and product managers to address complex client needs and ensure satisfaction., • Maintain communication with existing and previous customers to inform them of new products, services, and enhancements., • Maintain detailed records of sales activities including calls, orders, sales, lost business, and customer or vendor relationship issues; track all interactions using CRM tools., • Provide periodic and accurate territory sales forecasts and reports., • Attend scientific conferences, trade shows, and networking events to promote brand awareness and generate leads., • Monitor market trends and competitor activity to inform sales strategy., • Collaborate effectively with cross-functional teams and provide territory coverage for colleagues during absences, ensuring seamless customer support and continuity of service., • Demonstrates professionalism, resilience, and a positive attitude in all interactions., • Actively supports the development of junior or new sales territory managers through coaching, shadowing, and constructive feedback., • Encourages knowledge sharing and teamwork to drive collective success., • Introduces and promotes effective sales techniques and/or tools to improve team efficiency., • Provides insights from the field through Voice-of-the-Customer feedback to help shape product development and service enhancements., • Provide mentorship and training for other members in the department., • Manages the performance of direct reports if applicable., • Perform other duties as assigned. Required Qualifications: • Bachelor’s or advanced degree in a related scientific field (preferred), or a degree in Business., • Minimum of 7+ years of relevant sales or industry experience required., • Proven sales and negotiation skills with a results-driven approach., • Excellent interpersonal and customer service abilities., • Ability to thrive in a high-paced, client-facing environment., • Strong organizational skills., • Demonstrates a high level of accuracy and thoroughness in all aspects of work., • Consistently ensures precision and completeness in documentation and communication., • Solid analytical and problem-solving capabilities., • Proficient in Microsoft Office Suite or related software., • Familiarity and use of CRM platforms and sales reporting tools., • Self-motivated and capable of working independently., • Willingness and ability to travel extensively within the assigned territory. Benefits! • 401k with company match, • Medical/Dental/Vision health insurance plans, • Vacation and paid holidays BPS Bioscience is an equal opportunity employer, without regard to race, color, religion, age, gender, sexual orientation, disability, or any other characteristic protected by applicable law.

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. As a Senior Data Scientist, you will apply strong expertise in AI through the use of machine learning, data mining, and information retrieval to design, prototype, and build next-generation advanced analytics engines and services. You will collaborate with cross-functional teams and business partners to define the technical problem statement and hypotheses to test. You will develop efficient and accurate analytical models which mimic business decisions and incorporate those models into analytical data products and tools. You will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results. Key Responsibilities • Serve as a resource for creating AI agents and RAG databases to solve problems. Develop AI Agent tools to automate the retrieval, wrangling, and analysis of data., • Utilize combined knowledge of data structures, analytics, algorithms/models, and strong computer science fundamentals to prepare datasets, conduct analytics, and develop deployable solutions with guidance from more senior resources., • Able to analyze and prepare complex and new data sources and incorporate them into analytical solutions., • Collaborate with customers and key stakeholders on initiating ideas, performing design, analysis, and process improvement., • Develop and deploy AI and ML solutions on Google Cloud Platform., • Utilize massive data sources to craft business insights and features for innovative solutions., • Understand diverse data sources, both structured and unstructured., • 9+ years of overall experience, 4+ years working as a GenAI Data Scientist., • Experience with Python from a functional programming paradigm, able to manage dependencies and virtual environments, along with version control in git, • Machine learning and deep learning fundamentals, natural language processing (NLP), cloud computing, multi-agent systems understanding, data analysis, programming proficiency, and a grasp of ethical considerations in AI development., • Experience with agents frameworks (preferably Langchain)., • Experience with Prompt engineering- Chatbots and virtual assistants, Image generation etc., • Experience with proprietary and/or open source LLMs., • Experience in prompt engineering., • Experience with RAG and Vector Databases Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.

At Serve Robotics, we’re reimagining how things move in cities. Our personable sidewalk robot is our vision for the future. It’s designed to take deliveries away from congested streets, make deliveries available to more people, and benefit local businesses. The Serve fleet has been delighting merchants, customers, and pedestrians along the way in Los Angeles, Miami, Dallas, Atlanta and Chicago while doing commercial deliveries. We’re looking for talented individuals who will grow robotic deliveries from surprising novelty to efficient ubiquity. We are tech industry veterans in software, hardware, and design who are pooling our skills to build the future we want to live in. We are solving real-world problems leveraging robotics, machine learning and computer vision, among other disciplines, with a mindful eye towards the end-to-end user experience. Our team is agile, diverse, and driven. We believe that the best way to solve complicated dynamic problems is collaboratively and respectfully. Prototype and train learning-based models using a data-centric approach, applying techniques such as automated feature engineering, active learning, and fine-tuning on curated datasets; Design, develop, and maintain efficient data and feature extraction pipelines to support ML engineers in accessing high-quality data for model training; Design auto labeling system using ensemble of models that can reason from multimodal data for different use-cases, including image semantic labeling using vision grounded models, intent and path prediction ground truth; Perform complex data extraction, transformation, and loading (ETL) processes, ensuring data is clean, accessible, and well-documented; Write and optimize high quality SQL queries for data analysis and ingestion from various sources; Partner with data infrastructure and ML engineers to ensure seamless integration of data and machine learning workflows; and Produce highquality, maintainable code and participate in peer code reviews to share knowledge and uphold team standards. Position allows 100% telecommuting from anywhere in the U.S. Salary: $194,834 - $218,284 per year. MINIMUM REQUIREMENTS: Bachelor’s Degree or U.S. equivalent in Computer Science, Data Science, or a related field, 5 years of professional experience as a Data Scientist, Machine Learning Engineer, Data Engineer, or any occupation, job title, or position performing software engineering and machine learning. Must also have the following special skills: 5 years of professional experience utilizing SQL to write and optimize complex queries for extraction, analysis, and ingestion of structured, semi-structured, and unstructured data; 5 years of professional experience utilizing machine-learning frameworks (including TensorFlow and PyTorch) 5 years of professional experience designing and developing data and feature extraction pipelines, including pipelines for multi-modal data (including images, point clouds, or time-series) 5 years of professional experience training and prototyping machine-learning models using data-centric techniques including automated feature engineering, active learning, and fine-tuning; 5 years of professional experience utilizing cloud platforms including AWS, GCP, or Azure 5 years of professional experience utilizing containerization and workflow tools including Docker, Kubernetes, or Airflow 5 years of professional experience collaborating with cross-functional engineering teams to integrate data pipelines and ML workflows 3 years of professional experience programming in Python, building scalable data pipelines, or implementing ETL workflows 1 year of professional experience working with relational databases and SQL (including Postgres, Redshift, or SQL Server). CONTACT: Please send resume to hr@serverobotics.com Must specify Ad Code SDSB in the subject line.

Our mission at Oura is to empower every person to own their inner potential. Our award-winning products help our global community gain a deeper knowledge of their readiness, activity, and sleep quality by using their Oura Ring and its connected app. We've helped millions of people understand and improve their health by providing daily insights and practical steps to inspire healthy lifestyles. Empowering the world starts with living _ and empowering our team. As a quickly growing company focused on helping people live healthier and happier lives, we ensure that our team members have what they need to do their best work — both in and out of the office. This is a remote US role with a preference for candidates based in San Francisco, San Diego, or Boston. We have offices in San Francisco and San Diego for those who prefer hybrid or office settings. Oura employees in other major cities (like Boston and New York) occasionally gather informally at local co-working locations. We are seeking a highly experienced and driven Senior Machine Learning Data Scientist to join our Women's Health team. You will play a pivotal role in developing and commercializing cutting-edge machine learning models and algorithms, leveraging wearable health data to improve women's health outcomes. You will lead complex projects, mentor junior team members, and contribute significantly to the strategic direction of our technology.. What you will do: • Contribute to the development and deployment of advanced machine learning pipelines and models for innovative Women's Health features, focusing on time-series analysis and robust validation., • Drive the commercialization of machine learning models and algorithms, collaborating closely with cross-functional teams including scientists, product managers, software developers, product designers and test engineers., • Design and execute rigorous statistical analyses for model performance evaluation, monitoring, and generating actionable insights to inform strategic product decisions., • Conduct in-depth exploratory research to identify and characterize novel health sensing features, translating proof-of-concept ideas into scalable, commercialized products., • Contribute to the development of best practices for machine learning within the Women's Health team., • Present and communicate complex technical concepts to diverse audiences. This is a remote US role with a preference for candidates based in San Francisco, San Diego, or Boston. Requirements • PhD in Biomedical Engineering, Electrical Engineering, Biostatistics, Computer Science, or a related field. And 3+ years of industry experience in machine learning and data science., • 5+ years of advanced programming experience in Python and SQL., • Extensive experience with a wide range of machine learning and statistical modeling techniques, including deep learning, time-series analysis, and signal processing., • Demonstrated experience in the full lifecycle of developing and commercializing machine learning models and algorithms., • Excellent communication skills, and the ability to articulate complex technical concepts to both technical and non-technical audiences., • Self-driven, motivated, have a pragmatic can-do attitude and delivery-focused mindset: you can move quickly and prioritize effectively., • Strong domain knowledge in Women's Health and experience with health data from wearables are significant plusses. Benefits At Oura, we care about you and your well-being. Everyone here at Oura has a ring of their own and we are continually looking to improve employee health. What we offer: • Competitive salary and equity packages, • Health, dental, vision insurance, and mental health resources, • An Oura Ring of your own plus employee discounts for friends & family, • 20 days of paid time off plus 13 paid holidays plus 8 days of flexible wellness time off, • Paid sick leave and parental leave Oura takes a market-based approach to pay, which may vary depending on your location. US locations are categorized into tiers based on a cost of labor index for that geographic area. While most offers will be closer to the starting range, successful candidates' pay will be determined based on job-related skills, experience, qualifications, work location, internal peer equity, and market conditions. These ranges may be modified in the future. • Region 1 $172,000 - $203,000, • Region 2 $158,000 - $187,000, • Region 3 $147,000 - $174,000 A recruiter can determine your zones/tiers based on your US location. We are not considering candidates residing in the following states: Alaska (AK), Delaware (DE), Iowa (IA), Mississippi (MS), Missouri (MO), Nebraska (NE), South Dakota (SD), West Virginia (WV), and Wisconsin (WI) Oura is proud to be an equal opportunity workplace. We celebrate diversity and are committed to creating an inclusive environment for all employees. Individuals seeking employment at Oura are considered without regard to age, ancestry, color, gender (including pregnancy, childbirth, or related medical conditions), gender identity or expression, genetic information, marital status, medical condition, mental or physical disability, national origin, protected family care or medical leave status, race, religion (including beliefs and practices or the absence thereof), sexual orientation, military or veteran status, or any other characteristic protected by federal, state, or local laws. We will not tolerate discrimination or harassment based on any of these characteristics. We will work to ensure individuals with disabilities are provided reasonable accommodation to participate in the interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Disclaimer: Beware of fake job offers! We’ve been alerted to scammers posing as ŌURA recruiters, especially for remote roles. Please note: • Our jobs are listed only on the ŌURA Careers page and trusted job boards., • We will never ask for personal information like ID or payment for equipment upfront., • Official offers are sent through Docusign after a verbal offer, not via text or email. Stay cautious and protect your personal details. To all recruitment agencies: Oura does not accept agency resumes. Please do not forward resumes to our jobs alias, Oura employees, or any other organization's location. Oura is not responsible for any fees related to unsolicited resumes.

Prolific is not just another player in the AI space – we are building the biggest pool of quality human data in the world. Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills. We’re looking for AI Trainer – Machine Learning Specialists to help train and evaluate cutting-edge AI models using real ML expertise. If you have the necessary experience, we’ll send you a quick 10- to 15-minute test to assess your skills and suitability for AI tasks. If successful, you’ll be invited to join Prolific as a participant, where you’ll get paid to train and evaluate powerful AI models. Researchers looking for your skills tend to pay up to $150/hr per AI task completed. You must be prepared to complete paid tasks that require one hour of uninterrupted work, though many are shorter. AI Training task skills and verifiable professional experience as a Machine Learning Specialist (e.g., ML engineer, data scientist, applied scientist, research engineer) A willingness to take our skills verification test to assess your suitability for our participant pool Strong attention to detail and the ability to concentrate on complex tasks for up to one hour at a time A reliable and fast internet connection and access to a computer A willingness to self-declare your earnings, as our participants are self-employed A Paypal account to receive payment from our clients Completing AI training tasks such as analyzing, editing, and writing annotations (including technical reasoning and structured evaluation) Judging the performance of AI in performing ML-relevant tasks (e.g., model/experiment critique, data leakage detection, metrics interpretation, debugging approach, methodology review) Improving cutting-edge AI models by providing expert feedback on correctness, robustness, clarity, and technical depth General AI Training Model Evaluation and Evals Trust and Safety Red Teaming Quality Analytics Data/ML Concepts (e.g., supervised learning, deep learning, NLP, CV, statistics, experimentation) Joining our platform as a Prolific participant will give you the chance to influence the AI models of the future using professional machine learning expertise. Once you pass our assessment, you can join Prolific in just 15 minutes, and start enjoying competitive pay rates, flexible hours, and the ability to work from home. We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioural data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems. We believe that the next leap in AI capabilities won't come solely from scaling existing models, but from integrating diverse human perspectives and behaviours into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation – one that reflects the breath and the best of humanity. _ _ By submitting your application, you agree that Prolific may collect your personal data for recruiting and global organisation planning. Prolific's _ explains what personal information Prolific may process, where Prolific may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Prolific use of your personal personal information.

At Trella Health, we are passionate and committed to our mission: empowering meaningful change in healthcare. Since our founding in 2015, we continue to grow our team, enhance our solution and services offerings, accelerate into new markets, and expand our customer base. We are rapidly growing and are looking for new Trellavators to join our team! “What is a Trellavator?” you ask. Innovate and elevate is the name of our game! We go above and beyond to collaborate with and support each other. We believe that when a colleague or customers succeeds, we succeed. By learning from others, building on our successes, and taking risks, we constantly raise the bar. After all, continuous improvement is in our DNA. Our word is paramount, we keep our commitments, and we always follow through. We have a strong, reliable support system that fuels growth, collaboration, and passion—and together, we create a positive environment where everyone at Trella Health, including the customers we support, can thrive. Are you ready to learn more about the opportunities with our team? Trell-yeah you are! Position Overview: We are looking for a Senior Data Scientist to join our Data Science & Engineering team. In this role, you will be responsible for turning medical and pharmacy claims data into measures and actionable insights within our software as a Service (SaaS) solution. You will utilize your strong quantitative analysis, SQL, and Python skills to create and analyze scripts to compute metrics and impact downstream data sets. You will work cross-functionally with the data engineering, product, and data quality teams to ensure our data pipelines are accurate, efficient, and high quality. We're looking for someone who is intellectually curious and passionate about continuous learning, especially when solving problems within healthcare data. Location: This role is remote with a strong preference for candidates within commuting distance of Atlanta, GA; Philadelphia, PA; or Nashville, TN. We will also consider applicants based in other U.S. locations. Reports to: Director of Data Science As a Senior Data Scientist at Trella, you will: • Work with vast national datasets of medical and pharmacy claims data to interpret, analyze, and build datasets that deliver actionable insights to Trella’s proprietary solutions., • Design, build, and maintain scalable Databricks workflows and jobs for processing healthcare claims data., • Develop and optimize PySpark and SQL pipelines for performance, reliability, and efficiency., • Implement data quality monitoring and validation frameworks to ensure completeness, accuracy, and consistency of claims data., • Support modernization by refactoring legacy SAS scripts into Databricks., • Act as a subject matter expert on healthcare data sources, calculations, and methodologies., • Collaborate with the product team to size and scope new analytic projects, defining specifications and requirements., • Continuously enhance your knowledge of the healthcare industry through independent research and professional development. This job might be a fit for you if you have: • 5+ years of experience in data science, preferably within healthcare space., • Advanced SQL and Python skills (e.g. writing complex data processing scripts and automating workflows)., • Experience working with Databricks, including Spark SQL and PySpark for analytics, data modeling, and machine learning workflows., • A deep understanding of data lineage to track and visualize data dependencies, identifying upstream/downstream impacts., • Experience with statistical modeling including regression, imputation techniques, and risk scoring., • Strong knowledge of medical claims data (e.g., Medicare, Medicaid, Commercial) as well as medical coding systems (ICD10, CPT, HCPCS, MS DRG, NPPES NPI)., • Excellent problem-solving, time management, and communication skills., • Familiarity with software development tools like Jira, Confluence, and Bitbucket., • A passion for using data to improve healthcare and a love for solving complex problems., • Bachelor's or Master’s degree in a technical field or equivalent experience. About Trella Health: Trella Health provides unmatched, actionable market intelligence to post-acute care and value-based care providers of all sizes. Our industry leading analytics paired with CRM and EHR integration workflows positions us as the most advanced sales enablement platform for the post-acute care market. One of only a few companies to be deemed both a Qualified Entity by CMS and an Innovator under its Virtual Research Data Center Program, Trella has elite access to billions of performance metrics and referral data to enable competitive positioning across the market. Its standardized insights, representing 90% of all lives 65+ U.S. population, help customers identify, engage, and manage critical relationships and advance their organizations with certainty. Since launching our first product in 2016, we have experienced tremendous growth and have highlighted a few key data points to get an at-a-glance view of Trella: • Over 1,000 customers including 10 of the top 10 post-acute providers and 4 of the top 10 health systems, • Over 150 team members and growing, • Recognized as one of Modern Healthcare’s “Best Places to Work” in consecutive years and were ranked in the Top 50 startups in the US by LinkedIn, • Headquartered in Atlanta, GA with remote hubs in Nashville, Philadelphia, the Philippines, and Latin America. The Trellavator Experience: At Trella Health, you can expect to join a welcoming team that truly embodies our core values. Our collaborative culture is anchored by trust, transparency, and inclusion—and we also have a lot of fun. No matter where you work, at Trella Health you can expect an awesome team, frequent virtual gatherings, engaging events, casual attire, and more. We offer competitive salaries with a comprehensive benefits package to all employees and provide an environment that fosters work-life harmonization with Flexible Paid Time Off, along with remote-first work arrangements. As we continue to see exponential growth, our goal is to continue to put team members first and strive to offer our team members the best culture and benefits possible. Some of the benefits we provide are: • Health, Dental, Vision & Voluntary Benefits, • Competitive Salary & Bonus Plans, • 401k Retirement Savings, • Flexible PTO & 10 Paid Holidays, • Flexible Work Hours, • Equity Shares, • Paid Leave Programs, • Marketplace for discounted retail and entertainment Equal Opportunity Employer Trella Health is an equal opportunity employer. All persons will receive consideration for employment without regard to race, color, gender, sexual orientation, gender identity or expression, religion, national origin, marital status, age, disability, handicap, veteran status, genetic information, or any other protected status as recognized by federal, state, or local laws.

Overview: We are seeking a highly motivated and detail-oriented Data Scientist to join our team. In this role, you will be responsible for analyzing large datasets to uncover insights, develop predictive models, and help guide strategic decisions across the organization. You’ll collaborate closely with business stakeholders, data engineers, and software developers to drive data-driven innovation and continuous improvement. Key Responsibilities: • Analyze structured and unstructured data using statistical, machine learning, and data mining techniques., • Build, validate, and deploy predictive and prescriptive models to solve business problems., • Communicate findings and insights clearly to both technical and non-technical stakeholders., • Design and implement experiments (A/B testing, multivariate testing) to evaluate new strategies or features., • Collaborate with engineering teams to deploy models and ensure scalable, real-time analytics., • Develop data visualizations, dashboards, and reports to monitor key metrics., • Stay up-to-date with industry trends, tools, and technologies in data science and machine learning. Requirements: • Advanced degree in Computer Science, Statistics, Math, or equivalent experience., • 8+ years in Data science and Machine Learning., • Proficiency in ML techniques, SQL, Python/R, and big data frameworks., • Strong SQL skills for data extraction and transformation., • Experience with AI agents, LLMs, and fraud detection tools., • Experience with data visualization tools (e.g., Tableau, Power BI, matplotlib, seaborn)., • Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and big data technologies (e.g., Spark, Hadoop) is a plus., • Solid understanding of statistics, machine learning algorithms, and experimental design.

VoteShield (a project of _) seeks a highly motivated and civic-minded Data Scientist to join our growing team. VoteShield supports election officials in maintaining complete and accurate voter data in order to protect free and fair elections for all qualified voters. As a member of this world-class analysis and engineering team, you will analyze public voter registration data, work with election administrators, support Protect Democracy on a variety of data projects, and grow your technical skills. This position is remote* based in the US. Ideal candidates will be critical thinkers with a command of data analysis techniques and the ability to distill findings into clear, accessible reports, presentations, and other data tools. We are seeking people who bring an interest in civic data, commitment to non-partisanship, and passion for defending and strengthening our democracy through free and fair elections. At Protect Democracy, we bring an integrated advocacy approach to solving issues facing U.S. democracy. As a part of our integrated advocacy approach, our data scientists conduct analyses that support our mission alongside legal and policy experts, organizers, and communications strategists. Together, we run novel data experiments that address a range of critical pro-democracy use cases, from enhancing the in our elections to and accountable, to informing and inspiring advocacy for proportional representation. We do not expect that any one candidate will have all of the experiences and requirements listed — our current data science team comes from a variety of professional backgrounds, including academia and the public and private sectors. We highly encourage you to apply if the job description gets you excited about the role and the work of Protect Democracy & VoteShield. As a data scientist, you will: Review and analyze changes in public voter registration data and absentee ballot data in order to provide election officials with timely insights and answers to data questions; Write and present data reports that are accessible to the team, partners, and election administrators; Conduct legal/policy research as needed to provide context for your reports; contribute to research that utilizes VoteShield’s unique datasets and skills to assess election administration policies; Partner with colleagues across Protect Democracy to enhance their work with data analyses, custom tools, automation, and more; Expand and enrich our current data with external datasets; Create, refine, and document your standards for reporting, and compare and collaborate to develop best practices for the team; Build and maintain relationships with current and prospective partners in the election community. The ideal candidate brings: Interest in public or civic data and commitment to data-driven and non-partisan analysis; Ability to communicate a clear story with data, both in writing and presenting, that describes the context, insights, conclusions, and open questions; Proficiency in Python; A relevant bachelors degree, or equivalent experience; Growth mindset and comfortability with an open and transparent culture that values feedback up, down and sideways; Excellent critical thinking skills, demonstrated by enthusiasm for investigating novel problems and exercising sound judgment about how to get to optimal solutions; Rigorous attention to detail and the highest standards for excellence in execution; Ability to track, prioritize, and, where necessary, triage work in order to use time in the most efficient and productive way; Comfort working with small teams, proactively working to build the organizational culture and figure out what’s needed to move your work forward. Pluses, but not required: Experience in social science research; Knowledge of public policy and/or political science; Experience with election administration or voting data. Compensation The starting salary range is $84,300-$92,000, commensurate with the candidate’s relevant experience, capabilities and skills and in alignment with internal equity. About Protect Democracy *Flexible location. We are a remote-first organization based exclusively in the United States, meaning our staff work within the US and primarily virtually. We also offer shared workspaces for those who enjoy working in an office environment. We are established for remote work in many states across the country, and while candidates based anywhere in the United States are welcome to apply, we may not be able to offer employment in your current location. If you proceed in the hiring process, we will discuss where you currently live and what is possible in our initial interview. All staff are also required to travel at least two times per year to team retreats, and this role may require periodic travel. Accommodations to this requirement will be made only in exceptional circumstances. Commitment to an inclusive workplace. Protect Democracy is an equal opportunity employer. We believe that a broad range of backgrounds, perspectives, and lived experiences strengthens our ability to analyze problems, craft solutions, and drive meaningful change. Protect Democracy encourages applications from all qualified individuals without regard to race, color, religion, gender, sexual orientation, gender identity or expression, age, national origin, marital status, citizenship, disability, or veteran status. Phenomenal benefits. Our benefits package includes generous sick leave and a flexible vacation policy where we encourage team members to take 4-5 weeks every year, along with 12 paid holidays, 6 weeks of paid family medical leave, and 18 weeks of paid parental leave. We also offer a 401(k) plan with up to 6% employer match that vests immediately. Additionally, we cover employee medical premiums at 100% (with up to 95% coverage for dependents depending on plan selection), and employee and dependent’s dental/vision at 100%. All employees have access to long-term disability and life insurance, fertility benefits, a home office stipend, and bonuses at the discretion of the Executive Director. Ample opportunities for personal & professional development. Candidates who do not meet all listed criteria should still apply, as our organizational structure focuses on providing mentorship and opportunities for professional growth. Applications will be reviewed on a rolling basis and our hope is that new team members will join us as soon as possible (and no later than September 2026). Important notes Contact _ if you require specific accommodations at any point in the hiring process. Keep an eye on your promotions/spam folders to avoid missed communication. We are unable to provide status updates for each application we receive. If you reach out and do not hear back, please know it is not for lack of appreciation or interest, but simply for lack of staff capacity to respond to individual inquiries. The application will include a voluntary EEO survey so that we can monitor the applicant pool as a whole for representation and equal employment opportunities, and to evaluate our progress as an organization toward a diverse and inclusive workforce, which we believe is a pillar of a thriving democracy. The categories used by the EEO survey are limited and may not reflect your lived experience; please feel free to opt out of any of the questions. Your responses to this survey are entirely separate from your application materials, are not accessible to those responsible for hiring decisions, and will not affect your candidacy in any way. Your application has been successfully submitted! _ We appreciate your interest in this position. Unfortunately, you have already applied for this job.

Who we are We're Redis. We built the product that runs the fast apps our world runs on. (If you checked the weather, used your credit card, or looked at your flight status online today, you’re welcome.) At Redis, you’ll work with the fastest, simplest technology in the business—whether you’re building it, telling its story, or selling it to our 10,000+ worldwide customers. We’re creating a faster world with simpler experiences. You in? As Senior Software Engineer for our Feature Store product, you will be the driving force behind our platform. You’ll own the technical vision, lead execution, and serve as the primary technical voice with our most strategic customers—including major banks and enterprise organizations with demanding requirements around performance, reliability, and compliance. This role blends deep technical leadership with customer-facing responsibilities. You’ll spend time architecting systems, guiding the roadmap, setting engineering standards, and engaging directly with customers to understand their needs and translate them into product capabilities. • Own Technical Excellence: Define and drive the architecture, design patterns, and engineering standards for the feature store platform. Set a high bar for code quality, system reliability, and performance., • V2 Implementation: Assist and execute the next generation of our feature store—building for scale, low-latency serving, and enterprise-grade reliability., • Guide Product Roadmap: Partner with Product and leadership to help shape the technical roadmap. Translate customer requirements and market trends into actionable engineering priorities., • Drive Adoption of Modern Practices: Champion the use of AI-assisted development tools, observability best practices, and infrastructure automation to accelerate delivery., • 5+ years of experience in backend/infrastructure engineering, with demonstrated expertise in building large-scale distributed systems, • Deep experience with ML infrastructure, data platforms, or feature engineering systems at scale, • Expertise in Python, Go, and Rust, • Strong knowledge of cloud platforms (AWS, GCP, Azure) and modern data infrastructure (Kafka, Flink, Redis, Spark, or similar), • Experience working with enterprise customers, particularly in regulated industries like financial services, • Excellent communication skills—able to translate complex technical concepts for both engineering teams and business stakeholders, • Direct experience building or operating feature stores (Feast, Tecton, Hopsworks, or custom implementations), • Experience with real-time feature serving at sub-millisecond latencies, • Background in financial services, banking technology, or compliance-heavy environments, • Contributions to open-source ML infrastructure projects, • Hands-on experience as a data scientist or ML practitioner—training and deploying models in production, • High-Impact Role: Own a critical product line and directly influence how the world’s leading organizations build ML systems, • Enterprise Customers: Work with banks, financial institutions, and Fortune 500 companies solving real, complex problems, • Technical Depth: Tackle challenges in distributed systems, low-latency serving, and ML infrastructure at scale, • Competitive Compensation: Salary, equity, and comprehensive benefits, • Flexible Work: Remote-friendly culture with flexibility to do your best work As a global company, we value a culture of curiosity, diversity of thought, and innovation from our employees, customers, and partners. Redis is committed to a diverse and inclusive work environment where all employees’ differences are celebrated and supported, and everyone feels safe to bring their authentic selves to work. Redis is dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national orientation, sexual orientation, age, marital status, disability, gender identity, gender expression, Veteran status, or any other classification protected by federal, state, or local law. We strive to create a workplace where every voice is heard, and every idea is respected. Redis is committed to working with and providing access and reasonable accommodation to applicants with mental and/or physical disabilities. If you think you may require accommodations for any part of the recruitment process, please send a request to _. All requests for accommodations are treated discreetly and confidentially, as practical and permitted by law. Any offer of employment at Redis is contingent upon the successful completion of a background check, consistent with applicable laws. Redis reserves the right to retain data longer than stated in the in order to evaluate candidates.

Entefy’s Senior Data Scientist is a highly visible position both internally and externally. Join the intelligence revolution, where we can push the state-of-the-art boundaries of data science. This is where deep experience and multi-dimensional insights intersect with an amazing opportunity to shape the future of productivity for people everywhere. Skills and Experience: We’re not looking for “good.” Entefy is on a mission to find exceptional talent. The success of our mission depends on our team’s ability to be creatively analytical, insatiably curious, and absolutely fearless in tackling big challenges. \n Requirements: • Masters or PhD in in Computer Science, Mathematics, Statistics, Engineering, Physics, or related field preferred., • 5+ years of relevant experience., • Demonstrable proficiency in Python, Scala, SQL, or R., • Strong data visualization and reporting skills., • Expertise in extracting insights from real-world structured and unstructured datasets., • Proven track record delivering high-value, advanced analytics., • Experience leading the work of other data scientists or analysts is preferred., • Strong communication skills, • Startup agility and versatility. \n Visit and

As the first Unified Growth Platform, Thirdwave empowers blockchain projects with the analytics and insights to understand their customers and the actions that accelerate their growth. We deliver the key infrastructure and tools to enable projects to control their destiny. We connect people to the projects, games, and communities they love. Thirdwave is looking for a highly skilled Data Scientist to join our team. Our ideal candidate is someone with a strong analytical mindset, capable of leading advanced data analytics projects and contributing to the overall data science strategy. You like emerging technologies like Blockchains and are passionate about shaping the industry. As a Data Scientist at our startup, you will be pivotal in analyzing billions of blockchain wallets and tens of billions of transactions to derive actionable insights. You will develop and refine both descriptive statistics and predictive models, leveraging your expertise to understand complex blockchain ecosystems and drive data-informed decisions. With significant autonomy, you will have the opportunity to influence our product’s direction and contribute to the company's growth. You’ll Also: • Building predictive and descriptive statistical models using financial data, such as Lifetime Value (LTV), • Deploying and maintaining models, code, and data pipelines for customer-facing applications, • Collaborating closely with engineers and product teams to develop models that drive data-driven decisions, • Enhancing our product offerings and identifying new growth opportunities, • Optimizing models for performance and cost in distributed data warehouses, • Conducting data mining on public data to extract actionable insights, • Managing ETL connectors to ensure seamless data flow across systems, • Guiding the development of visualizations to present data findings in an intuitive and accessible manner About you • Fast learner, self-starter, go-getter, and intellectually curious, • Strong communicator with the ability to think about data at scale and beyond individual record levels., • Passionate about Blockchain and have a fundamental understanding of protocol mechanisms., • Comfortable interacting with various APIs, and raw blockchain queries. Minimum Qualifications • Proficient in building predictive and descriptive models with financial and blockchain data, • Experience with distributed data warehouses (e.g., Snowflake, Redshift, or Spark) and optimizing models for performance and cost, • Experience with DBT (Data Build Tool) for transforming data within data warehouses, • Expertise in data mining and managing ETL processes, • Strong programming skills in Python and SQL, • Experience with data orchestration frameworks (e.g., Dagster, Luigi, or Prefect) and monitoring tools (e.g., Datadog), • Familiarity with cloud platforms (e.g., AWS) and databases (e.g., Postgres, Redis), • Ability to develop and deploy customer-facing applications and visualizations Preferred Qualifications • Prior experience in the blockchain or fintech industries, • Strong understanding of statistical and machine learning methodologies, • Ability to work in a fast-paced startup environment and collaborate with cross-functional teams Location • Flexible, Remote What We Offer • Comprehensive medical, dental, and vision coverage for you and your family, • Additional benefits to help care for your family such as flexible parental leave and fertility & adoption assistance, • Unlimited PTO, including two recharge weeks (two company-wide weeks off, 13 paid holidays AND a $1000 vacation stipend once a year to spend on travel, etc., • Awesome Perks including a $200 monthly Wellness Stipend to support not just your 'health & fitness' but your general wellbeing, a $500 home office budget to get you set up at home, and a $125 monthly phone & internet stipend

We’re looking for a Staff Data Scientist to lead the science behind how advertisers understand the impact of their investment on Pinterest through first and third party measurement products. You’ll push the boundaries of ads measurement, advancing our approaches to causal inference and incrementality and partner closely with Product and Engineering, as well as represent Pinterest science externally with customers and partners. What you’ll do: • Own the development of measurement methodologies that help advertisers understand and optimize the value of their Pinterest campaigns across the full ads delivery funnel., • Design, implement, and validate advanced causal inference methods for incrementality and lift measurement., • Ensure scientific rigor in our measurement products by anticipating and mitigating risks such as bias, imbalance, and under-power., • Influence Ads Product & Engineering to define the measurement roadmap and integrate science solutions into products and platforms., • Collaborate with internal and external measurement partners (e.g., clean rooms, conversion APIs, MMM partners, MTA vendors) to design and evaluate joint solutions., • Define and own key success metrics for 1P measurement products; build tools and frameworks that enable teams and advertisers to make better decisions., • Provide technical leadership and mentorship to other data scientists and analysts, elevating measurement rigor and impact across the org., • Clearly communicate complex concepts and tradeoffs to executives, cross-functional stakeholders, and external customers. What we’re looking for: • 8+ years of combined post-graduate academic and industry experience applying scientific methods to solve real-world problems on web-scale data., • 5+ years in ads measurement with a strong focus on ad effectiveness and incrementality (e.g., conversion lift, brand lift, budget-split testing, matched-market tests, MMM, MTA)., • Proficiency in SQL and expertise in at least one scripting language (ideally Python or R)., • Strong business and product sense, with a track record of turning ambiguous questions into well-defined analyses or success metrics and driving decisions that balance scientific rigor and business value., • Demonstrated leadership of key technical projects and meaningful influence on the work of other data scientists, particularly junior and senior peers., • Excellent communication skills and experience leading initiatives across multiple product areas and partnering with leadership and cross-functional teams., • Bachelor’s/Master’s degree in a relevant field such as Computer Science, or equivalent experience. In-Office Requirement Statement: • We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection., • This role will need to be in the office for in-person collaboration 1 times per week and therefore needs to be in a commutable distance from one of the following offices San Francisco, Palo Alto, or Seattle. Relocation Statement: • This position is not eligible for relocation assistance. Visit our_ page to learn more about our working model. #LI-NM4 #LI-REMOTE

Fully Remote Position Preferred Locations: Midwest based: Indianapolis, IN or IL, Chicagoland Area preferred Who We Are: K1x is the leading data distribution platform for alternative investments. Simply put, our mission is to digitize the K-1 ecosystem. Our AI-powered K-1 extraction technologies surpass all other competition and we’re the first to produce a digital K-1. Learn more at _ About the role: We are seeking a highly skilled and experienced Machine Learning Engineer to join our dynamic team. The ideal candidate will have a strong background in natural language processing (NLP) and extensive experience working with unstructured and semi-structured data such as financial statements and tax documents. As a Machine Learning Engineer, you will play a critical role in developing and implementing machine learning models that enhance our software’s ability to accurately and efficiently process partnership accounting and tax documents. If you are an experienced Machine Learning Engineer or Data Scientist looking for an exciting opportunity to work on challenging problems and deliver machine learning products, we would love to hear from you. Join our team and help shape the future of alternative investments management and distribution! • Develop and optimize machine learning models for parsing, extracting, and categorizing data in PDF tax documents., • Collaborate with cross-functional teams to integrate machine learning solutions into our software products., • Apply statistical analysis to identify signals, trends, and insights that can inform product development., • Mentor and guide junior data scientists and team members, fostering a collaborative and innovative work environment., • Masters’ or PhD in Computer Science, Mathematics, Statistics, Data Science, or a related field, • 6+ years of relevant industry experience as a data scientist, with a focus on NLP/NLU projects, • Demonstrated experience leading end-to-end data science project implementations, • Excellent problem-solving skills with the ability to synthesize and communicate complex technical results to senior leaders and nontechnical audiences, • Proficiency in Python and a strong understanding of machine learning frameworks and libraries (e.g. scikit-learn, PyTorch, spaCy, Huggingface) Qualifications: • Masters’ or PhD in Computer Science, Mathematics, Statistics, Data Science, or a related field, or equivalent experience, • 6+ years of relevant industry experience as a data scientist, with a focus on NLP/NLU projects, • Demonstrated experience leading end-to-end data science project implementations, • Excellent problem-solving skills with the ability to synthesize and communicate complex technical results to senior leaders and nontechnical audiences, • Proficiency in Python and a strong understanding of machine learning frameworks and libraries (e.g. scikit-learn, PyTorch, spaCy) Preferred experience: • Previous experience with applications of NLP to financial documents, • Familiarity with alternative investment accounting needs, • Experience deploying machine learning models using containerization and orchestration technologies, • Unlimited Vacation Policy + Sick Time + Holidays, • Paid Parental Leave, • Fully Remote Opportunity, • Healthcare Benefits and 401K, • Growing Startup Culture

At Braviant, we believe in hiring great talent and offering them the flexibility to achieve great results unbounded by geography. Braviant is offering a fully remote option for anyone in the U.S. who wants to join our team and help us grow. We also have an office space in the heart of downtown Chicago for those who prefer to get out of the house and collaborate with some colleagues in person. Who we are:Braviant is a leading provider of tech-enabled credit products that combines breakthrough technology and cutting-edge machine learning to transform how people access credit online. Our next-generation approach to lending reduces credit barriers and creates a Path to Prime to help millions of underbanked consumers build credit history, reduce their cost of borrowing, and take control of their personal finances. Braviant has been named multiple times to the Inc. 5000 list of fastest growing private companies and has been recognized as a Best Place to Work by Crain’s Chicago, BuiltIn Chicago and American Banker. We are building and scaling a high-performance consumer lending platform and are looking for a Senior Data Scientist to drive credit decisioning across the loan lifecycle. This role sits at the intersection of credit strategy, fraud, and analytics, directly impacting approval strategy, loss performance, and portfolio profitability. You will build and deploy models that inform key decisions around who we approve, how we price risk, and how we manage portfolio performance. This is a hands-on, high-impact role suited for someone who is business-oriented, data-driven, and biased toward action, not just model development. You will partner closely with Credit, Fraud, Servicing, Product, and Engineering to translate data into clear, actionable decisions that improve approval quality, reduce early loss, and drive sustainable growth. This role is Addison, TX-based with a 4-day in-office requirement and 1-day work from home. • Develop and deploy predictive models across the credit lifecycle (acquisition, risk, and collections) with a focus on improving approval quality and loss performance., • Translate model outputs and analysis into actionable credit strategy, including approval cutoffs, segmentation, and decision rules., • Analyze portfolio performance (FPD, delinquency, loss) to identify key drivers of deterioration and recommend targeted actions., • Evaluate tradeoffs between approval rate, loss, and profitability, and recommend strategies to optimize portfolio performance., • Distinguish fraud risk vs credit risk, improving early default performance and reducing losses., • Design and execute experiments (A/B tests, champion/challenger frameworks) to evaluate strategies and drive continuous improvement., • Work with Product and Engineering to implement decisioning logic into production systems and ensure accurate execution., • Monitor model and strategy performance over time, identifying drift, instability, or unintended impacts on portfolio outcomes., • Collaborate cross-functionally with other departments to ensure decisions align with business goals and risk appetite., • Degree in Data Science, Applied Mathematics, Statistics, Economics, Computer Science or a related field, • 5-7 years of professional experience in Data Science, Analytics or a related field within FinTech or online lending space., • Advanced proficiency in Python for programming, data analysis, and predictive modeling, • Proficiency in SQL, Excel and experience with data visualization tools, • Excellent knowledge in applied statistical methods and experience using various predictive machine learning techniques including: linear models, decision trees, boosting, and ensemble models, • Knowledge of optimization, stochastic processes, experimental design, A/B testing and bootstrapping, • Passion for keeping your skills up to date and exploring new methodologies, • The ability to distill complex problems and analysis into a clear and concise narrative Preferred • Experience in subprime consumer lending, fintech, payments, or another regulated financial services technology environment., • Hands-on experience applying AI to credit risk management Compensation at Braviant is competitive and commensurate with experience. Details will be discussed with qualified candidates during the interview process. In addition, we provide: • Comprehensive healthcare including medical, dental, and vision coverage, • Generous paid time off, including PTO, sick time, and 13 company holidays, • 401(k) with company contribution, • Participation in annual discretionary bonus plan, • Regular team and company gatherings What it's like to work here:We're about achieving results while having fun along the way. We believe in solving problems together and building on each other’s ideas. Our teams are comprised of smart, curious individuals and we encourage everyone to think like an owner, take initiative and drive their careers. Our broad roles provide tremendous opportunities for individuals to acquire new skills, gain exposure to all areas of the business, and quickly see their impact at Braviant. Want to learn more? Check us out on , and our _ We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Spalding, a Saalex Company is seeking a Data Scientist in Lexington Park, MD. Spalding, a Saalex Company is a professional services company delivering cutting-edge solutions to the Department of Defense since 2001. Our expert-level solutions include software development, information technology, program management, financial management and business intelligence services. Spalding Consulting offers competitive compensation, career development, flexible work schedules and excellent benefits. Position Type: Full-Time Salary Range: $115K-$140K (depending on experience) Work Location: This is a remote position (see on-site requirements below). **On-Site Requirements: On-boarding will require 1-2 visits to Patuxent River, MD for candidates that are local to the area. Candidates out of state will be onboarded virtually. Training will be virtual and telework maximized/permitted to the greatest extent possible, however for local candidates, training/tasking may require on-site work a few hours per week. Future on-site/telework requirements/schedules may change as additional client direction is received. Job Description: • Managing new package requests and administering our data science package repository., • Gathering data from various sources, cleaning and transforming it into usable formats for analysis., • Applying statistical and machine learning techniques to uncover patterns, trends, and insights within datasets., • Analize complex datasets., • Visualize, interpret, and report data findings., • Create dynamic data reports., • Requirements Management, Schedule Estimation and Planning., • Collaboration and Coordination with members of a cross-functional team., • Other duties as assigned or required. Required: • At least five (5) years of experience performing duties similar to at least two (2) duties found in the Data Scientist description., • Bachelor’s Degree in Computer Science, Information Systems, Engineering, or related discipline is required. Desired: • Experience with 3rd generation programming languages such as Java, Python, C#, or C++ desired., • Experience with data science packages desired., • Knowledge of various machine learning techniques (e.g., clustering, decision trees, neural networks), model evaluation, and deployment desired., • Familiarity with big data platforms (e.g., Hadoop, Spark) and cloud services (e.g., AWS)., • Experience working with Application Lifecycle and Configuration and Knowledge Management software is highly desired., • Experience with GitLab is preferred., • Experience with UNIX Shell Scripting is desired., • Experience with Agile Methodology is desired. Security Clearance: • Must have active secret clearance and be eligible for Top Secret Clearance (SSBI). Requirements to obtain a clearance include US Citizenship, security investigation, etc. Education: • Bachelor’s Degree in Computer Science, Information Systems, Engineering, or related discipline is required., • Health Care Plan (Medical, Dental & Vision), • Retirement Plan (401k, IRA), • Life Insurance (Basic, Voluntary & AD&D), • Paid Time Off (Vacation, Sick & Public Holidays), • Short Term & Long Term Disability, • Training & Development, • Wellness Resources, • Stock Option Plan

Eight Sleep is the world’s first sleep fitness company. Our mission is to fuel human potential through optimal sleep. We use innovative technology, detailed design, and proven science and data to personalize and improve each night for everybody—changing the way people sleep forever and for the better. With our flagship product, the Pod, we are addressing critical sleep issues such as temperature regulation, bed elevation, snoring reduction, and the wake-up experience. Hundreds of thousands of customers around the world sleep better every night thanks to the Pod. But we’re just getting started. We’re committed to developing more groundbreaking products to tackle additional sleep problems, changing the role sleep plays in our lives forever. We’re excited about the journey ahead and the impact we can make as we continue to innovate and expand our offerings to fulfill our mission. We are backed by leading Silicon Valley investors like YC Combinator, Founders Fund, Valor, and Khosla Ventures, and we have been recognized as one of Fast Company’s Most Innovative Companies in 2018, 2022, and 2023.The Pod was also recognized two years in a row by TIME's “Best Inventions of the Year.” We currently sell the Pod in the United States, Canada, the United Kingdom, Europe, and Australia. Before you apply Eight Sleep is an intense environment: we’re demanding and ambitious, which means we ask a lot of ourselves and one another. This means fantastic learning, achievements, and career growth, but it also requires a significant commitment. Our dedication, drive, and intensity rivals those of Olympic athletes. At Eight Sleep, we have Kobe Bryant’s mamba mentality - we always aim to be at the best 1% of what we do. If you’re looking for a 9-5, this is not for you. Our employees report working up to 60 hours per week. If you want to be challenged and pushed harder than ever before, we invite you to apply. The role We’re seeking a data-driven and detail-oriented Data Analyst (an individual contributor) to join our Data & Analytics team within the Growth organization. The ideal candidate has a proven track record delivering insights that influence the product and marketing roadmaps. This role will use sales, marketing and ecommerce data to build reporting, dashboards and KPIs while extracting findings from complex analyses. How you’ll contribute Analyze marketing and ecommerce data sets to identify trends and unique insights that optimize the Performance Marketing and Web programs Design and analyze lift-based/incrementality experiments across Performance Marketing channels (Facebook, Search, YouTube, OTT, etc.) Create and maintain dashboards and visualizations using Looker and other tools to provide key insights to the Growth team Build statistical models that produce revenue projections and ad spend allocation Assist in managing our data warehouse; building and maintaining data pipelines, data models and automating workflows Utilize data to deepen Eight Sleep’s understanding of user acquisition and improve performance at the portfolio and channel level Act as a key driver in building and improving Eight Sleep’s marketing attribution modeling What you need to succeed Minimum 3+ years experience as a Data Analyst, Data Scientist, Analytics Engineer or similar technical role B.S. degree in Business, Finance, Mathematics, Statistics, Economics, or other quantitative field preferred Expert-level knowledge of SQL, experience using Python or R is a plus Advanced knowledge of end-to-end data infrastructure, including using data pipeline tools, data transformation tools such as DBT and data warehousing best practices Expert knowledge of business intelligence tools such as Looker, Tableau, and Google Sheets/Excel A data-driven approach to performance marketing and experience utilizing large data sets to inform strategic decision making Highly effective written and verbal communication skills Ability to translate complex findings into actionable insights Be an Independent self-starter who thrives in a fast-paced environment and is comfortable owning a high level of responsibility Why join Eight Sleep? Innovation in a culture of excellence Join us in a workplace where innovation isn’t just encouraged - it’s a standard. Our flagship product, the Pod, is a testament to our culture of excellence, beloved by hundreds of thousands of customers worldwide. At Eight Sleep, you will be part of a team that continuously pushes the boundaries of technology in sleep fitness. Immediate responsibility and accelerated career growth From your first day, you’ll take on substantial responsibilities that have a direct impact on our core business and product success. We are a small team that empowers you to own your projects and see the tangible effects of your efforts, enhancing both your professional growth and our company’s trajectory. Your path will be challenging but rewarding, perfect for those who thrive in fast-paced environments aiming for high standards. Collaboration with exceptional talent Work alongside other bright minds like you: at Eight Sleep exceptional intelligence and a passion for breakthroughs are the norms. Our team members are not only experts in their fields but also avid innovators who thrive in our dynamic, fast-paced environment. Equitable compensation and continuous equity investment We extend equity participation to every full-time team member, recognizing and rewarding your direct contributions to our success. This includes periodic equity refreshments based on performance, ensuring that as Eight Sleep grows and succeeds, so do you – perfectly aligning your achievements with the broader triumphs of the company. Your own Pod - and other great benefits Every Eight Sleep employee receives the very product that defines our mission: a Pod of their own. If you join us you’ll get your own _, along with*: Full access to health, vision, and dental insurance for you and your dependents Supplemental life insurance Flexible PTO Commuter benefits to ease your daily commute Paid parental leave *List of benefits may vary depending on your location We will hire for this role in US/EU/LATAM, but working hours will be EST. Note: Employees approved for remote work must perform their duties from a single, company-approved based location #LI-Remote At Eight Sleep we continually celebrate the diverse community different individuals cultivate. As an equal opportunity employer, we stay true to our values by ensuring everyone feels they can flourish and grow. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.

VHA supports and provides medical care for VA’s eligible beneficiaries through the VA health program, which includes VA Medical Centers (VAMCs) and contracted health care networks. The Office of Clinical Informatics within the Office of Health Informatics (OHI), Digital Health Office (DHO) advances the enterprise standard of care and patient experience using improved data, tools, and informatics processes organized around continuously delivering value to its customers. This is achieved through Lean-Agile delivery of clinical practice solutions that support best practice standards for clinical care. OHI is further responsible for ensuring the success of the modernized VA EHR, Oracle Health Millennium/Cerner through continuous exploration, integration, deployment and release on demand of Integrated Health Technology (IHT) solutions. These efforts aim to increase Veterans' access to care and support their active participation in their healthcare. Gritter Francona is looking for a Lead Data Scientist to help support a potential project to assist this objective. • Serves as the technical lead for advanced analytics, predictive modeling, and machine learning initiatives supporting clinical decision-making and operational optimization., • Designs and validate algorithms for interoperability workflows, clinical informatics systems, and Agile integration reporting., • Ensures compliance with VA data governance, security, and privacy standards., • MUST HAVE demonstrated expertise in Agile environments (e.g., supporting PI planning, backlog analytics, velocity metrics); Interoperability standards (e.g., HL7, FHIR) and clinical terminology (SNOMED, LOINC); Programming languages (e.g., Python, R) and frameworks (e.g., TensorFlow, PyTorch); Data visualization tools (e.g., Power BI, Tableau) and ETL processes;, • Proven experience integrating clinical informatics systems (VA VistA/CPRS, Cerner Millennium) and validating data migration fidelity, • Must be eligible to obtain a government clearance, • Master's degree in Data Science, Computer Science, Health Informatics, or Statistics, • 10+ years in data science or advanced analytics roles, • 5+ years applying machine learning and predictive modeling in healthcare or federal health IT environments, • Health Care Plan (Medical, Dental & Vision), • Retirement Plan (401k, IRA), • Life Insurance (Basic, Voluntary & AD&D), • Paid Time Off (Vacation, Sick & Public Holidays), • Short Term & Long Term Disability, • Training & Development

Swiftly is a retail digital technology startup founded in 2018 and headquartered in the Bay Area. We empower regional and independent grocers to compete in a digital-first world by providing best-in-class app, web, loyalty, and e-commerce solutions—without SaaS fees. Instead, Swiftly drives revenue through its retail media network, sharing profits with retailer partners.With 70+ retailer banners and Series C funding, Swiftly is the first in the industry to seamlessly connect digital and in-store shopping. Our AI-powered platform helps retailers build strong digital relationships, while our solutions—Audience Optimizer™, Alcohol Cashback, and Offsite Campaigns—drive shopper engagement and brand success. Our mission: Enable brick-and-mortar retailers to thrive in a digital world. Position Summary:Swiftly is searching for a data scientist that will tackle some of the most challenging and impactful problems that are transforming how we recommend products to users. This role will be embedded within our data-drive product team as a trusted partner to uncover barriers in the product’s usability and utilize these insights to inform product improvements that drive angle-changing growth. We’re looking for a self-driven, strategic thinker who can hit the ground running to ultimately influence decision-making across the entire organization. • Own analytical frameworks that guide the product roadmap, • Design rigorous experiments and interpret results to draw detailed and actionable conclusions, • Develop statistical models to extract trends, measure results, and predict future performance of our product, • Build simulations to project impact of various product and policy interventions, • Enable objective decision making across the company by democratizing data through dashboards and other analytical tools, • Other related duties as assigned, • 4+ years of industry experience architecting, coding, verifying and operating large-scale data pipelines and architectures, • B.S. in Mathematics, Statistics, Computer Science, Computer Engineering, or a related field, • Strong familiarity with Databricks, including building models, creating job pipelines, and managing interactions within the platform, • Proven experience with clustering models and machine learning for marketing use cases such as forecasting, customer segmentation, and marketing mix modeling, • Solid proficiency in PySpark to handle and process large-scale datasets efficiently, • Must be authorized to work in the United States without the need for current or future visa sponsorship, • Ability to think outside the box to uncover and solve hidden data quality or consistency issues, • Advanced understanding of statistical theory, including confidence intervals, hypothesis testing, and p-values, • Ability to design and implement scalable pipelines and analytical solutions that enable data-driven decision-making, • A mix of startup and large software company experience, comfortable navigating different scales and cultures, • Ability to work west coast hours $155,000 - $165,000 a yearThe salary range is based on the candidates experience as it relates to the role. #LI-RemoteNote: We are unable to sponsor or take over sponsorship of employment visas at this time. Working For SwiftlyWe are working on a set of problems that require the best in the industry to get right. Our employees are the pillars of the future of the company and they are treated and compensated as such. We're a growing team of experienced industry professionals building an organization that can solve tough problems and values a collaborative environment. Every Swiftly employee: -Has demonstrated the ability to work collaboratively in an ambiguous, fast-paced environment -Takes ownership of their domain from the ground up, from inception through deployment to customers -Leaves their ego at the door and ensures the best idea leaves the room -Is always experimenting with new technologies and learning new skillsets If you've ever wanted to work on a project that blends a gorgeous consumer experience, sophisticated logistics, and scale that rivals the largest technology players, Swiftly is the place for you. Equal Opportunity Employer Swiftly is an Equal Employment Opportunity and Affirmative Action Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. Swiftly will make reasonable accommodations in compliance with the Americans with Disabilities Act of 1990. Reasonable accommodations are available for qualified individuals with disabilities throughout the subsequent application process.

Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! Figma is growing our Finance Data Science team at a pivotal moment in the company's evolution. As a public company, the accuracy, scalability, and sophistication of our financial data systems have never been more important. At the same time, Figma's business continues to evolve through new products, AI-powered offerings, acquisitions, and emerging revenue models. We're looking for a Finance Data Scientist to help build the data foundation that powers financial reporting, forecasting, strategic decision-making, and investor communications. In this role, you'll partner closely with Strategic Finance, Accounting, Investor Relations, Engineering, Product, and Data teams to ensure our financial metrics are accurate, actionable, and trusted across the business. This is a unique opportunity to work at the intersection of finance, analytics, data engineering, and business strategy—helping shape how Figma measures and communicates its performance as the company scales. The data and systems built by this team directly support executive decision-making, public company reporting, and Figma's long-term growth strategy. This is a full time role that can be held from one of our US hubs or remotely in the United States. What you'll do at Figma: • Own and improve the data models that power Figma's financial reporting, including ARR, revenue, billings, collections, and other key business metrics, • Build scalable reporting systems, forecasts, and analytical frameworks that support Finance, Accounting, Investor Relations, and executive leadership, • Drive data accuracy and completeness across month-end, quarter-end, and year-end close processes alongside Strategic Finance and Accounting teams, • Collaborate with Engineering, Product, GTM Systems, and Financial Systems teams to ensure the completeness and accuracy of financial data, • Conduct deep-dive analyses that inform strategic decisions and uncover opportunities to improve business performance, • Define, measure, and operationalize key financial and operational metrics, • Design and implement durable data solutions that balance immediate stakeholder needs with long-term scalability, • Serve as a trusted thought partner to Finance leaders, helping guide reporting, forecasting, and decision-making across the business We'd love to hear from you if you have: • 3+ years of experience in Data Science, Analytics, Finance, Financial Systems, Data Engineering, or a related field, • Advanced SQL skills and strong proficiency in Python or a similar programming language, • Experience supporting Finance, Accounting, Strategic Finance, FP&A, Investor Relations, or other finance-focused stakeholders, • Demonstrated ability to translate complex data into clear, actionable business insights for non-technical stakeholders, • Experience working independently and driving projects from ambiguity to execution While it's not required, it's an added plus if you also have: • Experience with SaaS, subscription-based, usage-based, or consumption-based business models, • Knowledge of accounting concepts and revenue recognition principles (ASC 606), • Experience with modern analytics and data engineering tools such as DBT, Snowflake, Git, Spark, Presto, or similar technologies, • Experience supporting IPO readiness, public company reporting, SOX controls, audits, or other major corporate milestones, • Background in Strategic Finance, FP&A, Accounting, Investment Banking, Consulting, or related fields At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure If based in Figma’s San Francisco or New York hub offices, this role has the annual base salary range stated below. Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. The listed range is a guideline, and the range for this role may be modified. For roles that are available to be filled remotely, the pay range is localized according to employee work location by a factor of between 80% and 100% of range. Please discuss your specific work location with your recruiter for more information. Figma offers equity to employees, as well a competitive package of additional benefits, including health, dental & vision, retirement with company contribution, parental leave & reproductive or family planning support, mental health & wellness benefits, generous PTO, company recharge days, a learning & development stipend, a work from home stipend, and cell phone reimbursement. Figma also offers sales incentive pay for most sales roles and an annual bonus plan for eligible non-sales roles. Figma’s compensation and benefits are subject to change and may be modified in the future. Annual Base Salary Range: $140,000 - $348,000 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an _ - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to _. These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: • Holding interviews in an accessible location, • Enabling closed captioning on video conferencing, • Ensuring all written communication be compatible with screen readers, • Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with _.

Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: _ The Mapping team at Waabi develops the foundational spatial intelligence of our autonomous fleet. As a Senior or Staff Software Engineer on our Mapping team, you will act as a versatile, foundational builder for our highly scalable, AI-driven mapping infrastructure. We are looking for a strong software generalist who thrives on variety, can easily pivot across different projects, and tackles complex distributed systems problems from data ingestion to real-time serving. You will collaborate and exchange ideas with our team, which includes world-renowned engineers and scientists specializing in robotics, deep learning, computer vision, and autonomous driving. We value original, high-impact ideas and rigorous experimental validation. You will... • Act as a versatile engineering powerhouse, quickly ramping up on new domains and fluidly transitioning between backend pipelines, API design, and vehicle-side serving., • Be part of a multidisciplinary team of Engineers and Research Scientists using AI-first approach to create high-definition (HD) maps at scale., • Architect and build the engineering foundations of our long-term mapping infrastructure., • Build robust, scalable pipelines to automatically create, validate, maintain, and visualize massive amounts of data., • Design and develop comprehensive metrics, observability, and anomaly detection across various systems., • Partner directly with downstream customers (e.g. Perception, Motion Planning, Simulation) to capture complex requirements and implement intuitive APIs., • Engineer real-time, high-availability, and low-latency systems for fleet of self-driving vehicles. Qualifications: • BS, MS, or PhD in Computer Scientist, Electrical Engineering, or related field, with a minimum for 5 years of industry experience., • Strong computer science fundamentals with an aptitude and willingness to quickly learn domain-specific concepts like 3D geometry and spatial data structures., • Prove ability to work across various programming languages, seamlessly bridging high-level Python development with robust systems-level engineering in C++ or Rust., • Solid experience in designing, developing, and deploying production-quality, fault-tolerant software at scale (moving well beyond prototypes/proofs of concept)., • Hands-on experience building distributed systems on modern cloud platforms. Bonus/nice to have: • A true generalist mindset: you enjoy wearing multiple hats, diving into unfamiliar codebases, and picking up new technologies as the mission dictates., • Prior experience with autonomous vehicles, HD mapping, or robotics., • Familiarity with 3D geometry, geospatial systems, spatial databases, and tooling such as QGIS, GDAL, or PostGIS., • Familiarity with Machine Learning pipelines or integrating AI models into production engineering systems., • Experience with large-scale data processing systems and orchestration framework (e.g., Apache Spark, Airflow, Ray, Kafka)., • Open-minded and collaborative team player with strong willingness to help others. The US yearly salary range for this role is: $141,000 - $242,000 USD in addition to competitive perks & benefits. Waabi (US) Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus. Perks/Benefits:- Competitive compensation and equity awards.- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).- Unlimited Vacation.- Flexible hours and Work from Home support.- Daily drinks, snacks and catered meals (when in office).- Regularly scheduled team building activities and social events both on-site, off-site & virtually.- As we grow, this list continues to evolve! Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact! Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Entefy’s Senior Data Scientist is a highly visible position both internally and externally. Join the intelligence revolution, where we can push the state-of-the-art boundaries of data science. This is where deep experience and multi-dimensional insights intersect with an amazing opportunity to shape the future of productivity for people everywhere. Skills and Experience: We're not looking for “good.” Entefy is on a mission to find exceptional talent. The success of our mission depends on our team’s ability to be creatively analytical, insatiably curious, and absolutely fearless in tackling big challenges. \n Requirements • Master's degree in Computer Science, Mathematics, Statistics, Engineering, or a compatible field. PhD is preferred., • 3+ years of applicable work experience., • Demonstrable proficiency in Python, Scala, SQL, or R., • Strong data visualization and reporting skills., • Proven track record delivering high-value, advanced analytics., • Experience leading the work of other data scientists or analysts is preferred., • World-class ability to extract and communicate insights from real-world datasets., • Startup agility and versatility. \n Visit www.entefy.com and www.entefy.com/blog

Socure is building the identity trust infrastructure for the digital economy — verifying 100% of good identities in real time and stopping fraud before it starts. The mission is big, the problems are complex, and the impact is felt by businesses, governments, and millions of people every day. We hire people who want that level of responsibility. People who move fast, think critically, act like owners, and care deeply about solving customer problems with precision. If you want predictability or narrow scope, this won’t be your place. If you want to help build the future of identity with a team that holds a high bar for itself — keep reading. Socure is the leading provider of digital identity verification and fraud prevention solutions, leveraging AI and machine learning to power the most accurate decisions. Our mission is to eliminate identity fraud and ensure online trust across industries. As a Staff Data Scientist for RiskOS, you will sit at the intersection of platform data science, fraud and risk analytics, and Generative AI. You will own end‑to‑end development of data‑driven solutions on the RiskOS platform—from heavy‑duty data exploration and cleaning, through modeling and GenAI agent design, all the way to production deployment and monitoring. You will leverage your expertise in fraud and risk management to help develop and integrate robust detection and decisioning models, and your experience with Generative AI to design, evaluate, and operationalize LLM‑powered tools that improve analytics, workflows, and case investigations. You will collaborate closely with engineering and platform teams to build scalable, production‑grade pipelines and services, and with product and risk leaders to ensure RiskOS delivers actionable insights, self‑serve analytics, and best‑in‑class fraud prevention at scale. This is a highly collaborative, hands‑on technical leadership role for someone who enjoys owning complex data problems end‑to‑end and acting as a force multiplier for other data scientists and product teams. Develop and implement advanced analytics on top of noisy, heterogeneous RiskOS data to understand user behavior, product usage, fraud patterns, and workflow effectiveness; translate findings into concrete product and risk strategy improvements. Architect and build scalable data pipelines and production ML workflows, collaborating with data engineering to ensure robust, reliable, and efficient data processing for both batch and streaming use cases. Lead the design, execution, and analysis of experimentation frameworks to optimize user journeys, feature adoption, and workflow performance across the RiskOS platform. Lead the creation and evaluation of Generative AI solutions (LLMs, agents, prompt‑based tools) that automate analytics, power case review and investigation assistants, streamline documentation, and enhance RiskOS workflows and reporting. Define rigorous evaluation frameworks for GenAI solutions, including offline benchmarks, human‑in‑the‑loop review, safety and hallucination checks, and impact measurement in production. Partner with platform and engineering teams to define and build core RiskOS data science infrastructure, including feature stores, model‑serving APIs, evaluation services, and monitoring frameworks for both traditional ML and GenAI systems. Own end‑to‑end deployment of production‑grade solutions: packaging models and GenAI workflows, integrating with RiskOS services, establishing SLAs, and instrumenting telemetry, alerting, and feedback loops. Develop and automate tools for model evaluation, stress testing, backtesting, and adversarial scenario simulation to ensure robustness and operational resilience—especially in high‑risk fraud and compliance contexts. Enable product and risk teams through self‑serve analytics and tools: build dashboards, template analyses, and GenAI‑driven assistants that help non‑technical users explore RiskOS data, tune workflows, and debug decisions. Collaborate cross‑functionally with product, engineering, risk, solution consulting, and customer‑facing teams to translate business requirements into data‑driven solutions and actionable insights, particularly for fraud and risk use cases on RiskOS. Mentor and provide technical guidance to other data scientists and analysts, modeling best practices in experimentation, software engineering hygiene, GenAI safety, and rigorous model evaluation. Ensure all solutions adhere to best practices in data privacy, security, and compliance, especially when handling sensitive PII and financial data in regulated fintech and public‑sector environments. Contribute to company‑wide standards for ML and GenAI explainability, risk evaluation, feature logging, and documentation, helping raise the overall AI bar across Socure. Communicate complex technical concepts and findings clearly to both technical and non‑technical stakeholders, including executive leadership and external partners. Master’s or PhD in Computer Science, Machine Learning, Statistics, Engineering, or a related quantitative field, or equivalent professional experience. 6+ years of hands‑on experience in data science, machine learning, or high‑scale data engineering roles, with a proven track record in fraud prevention, risk analytics, or complex decisioning systems. Strong experience applying Generative AI in production or near‑production contexts, including: Building and evaluating LLM‑based applications or agents (e.g., retrieval‑augmented generation, workflow assistants, data‑insight copilots). Prompt design and optimization, safety and guardrail techniques, and quantitative/qualitative evaluation of LLM outputs. Deep proficiency in Python and SQL, with hands‑on experience using ML frameworks such as scikit‑learn, XGBoost, TensorFlow, or PyTorch, plus modern GenAI/LLM tooling (e.g., OpenAI/Anthropic APIs, Hugging Face ecosystems, orchestration frameworks). Demonstrated experience building and maintaining scalable data pipelines and deploying ML models in production environments, ideally involving streaming or near‑real‑time data and modern data platforms (e.g., Databricks, Spark, PySpark, BigQuery, or similar). Solid understanding of data engineering concepts, including ETL, data warehousing, schema design, and distributed computing. Experience with platform‑oriented data science: working with feature stores, model‑serving infrastructure, CI/CD for ML, automated monitoring, and feedback collection workflows. Hands‑on experience wrangling messy, high‑volume datasets: designing robust cleaning, normalization, and quality‑control processes; reasoning under missing or biased data; and building reusable data abstractions for other users. Familiarity with privacy‑preserving ML techniques, secure data handling, and regulatory requirements in fintech, credit, or public‑sector environments is strongly preferred. Proven ability to collaborate effectively in cross‑functional, fast‑paced teams; strong communication skills with comfort presenting trade‑offs and recommendations to senior stakeholders. Product‑minded and outcome‑oriented: you care about how models and GenAI tools are used, how they shape user experience and risk posture, and how to measure their real‑world impact. Direct experience with fraud/risk modeling, identity verification, or trust & safety. Prior work on orchestration platforms, case‑management tools, or rules/decision engines. Experience mentoring senior ICs and setting technical direction for a small data science group. Please note that we are unable to provide sponsorship for this role; now or in the future. Socure is an equal opportunity employer that values diversity in all its forms within our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you need an accommodation during any stage of the application or hiring process—including interview or onboarding support—please reach out to your Socure recruiting partner directly. Follow Us! | | |

Healthcare in the U.S. is fundamentally broken. The system is so complex that 88% of U.S. adults do not have the health literacy necessary to navigate it without help. Solace cuts through the red tape of healthcare by pairing patients with expert advocates and giving them the tools to make better decisions—and get better outcomes. We're a Series C startup, founded in 2022 and backed by Inspired Capital, Craft Ventures, Torch Capital, Menlo Ventures, Signalfire, and IVP. Our U.S. based team is lean, mission-driven, and growing quickly. Solace isn't a place to coast. We're here to redefine healthcare—and that demands urgency, precision, and heart. If you're looking to stretch yourself, sharpen your edge, and do the best work of your life alongside a team that cares deeply, you're in the right place. We’re intense, and we like it that way. Read more in our Bloomberg funding announcement _. At Solace, data isn't just about understanding the past; it's about predicting the future. We are a rapidly scaling startup where we work hard, move fast, and wear many hats. The Solace Data Team is looking for a Data Scientist who excels at forecasting, prediction, and machine learning to help us anticipate patient needs and optimize our operations. Reporting directly to the VP of Data, you will have the opportunity to lead high-impact projects that directly influence our strategic decision-making. In this role, you will go beyond descriptive analytics to build the predictive engines that drive our business. Whether you are forecasting operational volume, modeling patient risk, or designing rigorous A/B tests, you will bridge the gap between advanced statistics and practical business application, ensuring our models are robust, interpretable, and impactful. Build Predictive Models: Develop and refine machine learning models to solve critical business problems, such as predicting patient churn, estimating operational volume, or scoring advocate quality. Drive Forecasting Rigor: Own the development of time-series forecasts that guide our capacity planning and resource allocation. You will help us anticipate "what comes next" with higher accuracy. Design & Analyze Experiments: Lead the design and analysis of A/B tests and causal inference studies. You will ensure we measure the true impact of our product and operational changes. Uncover Deep Insights: Apply advanced statistical methods to complex datasets to find patterns that simple reporting might miss. You will answer the "why" and "how" behind our most difficult questions. Productionize Solutions: Work closely with Data Engineers to take your models from a local notebook to a production environment, ensuring they run reliably within our data infrastructure. Communicate Complexity: Translate complex statistical findings into clear, actionable narratives for non-technical stakeholders. You will be the voice of statistical reason in strategic discussions. Statistical Expertise: You have a strong background in statistics, probability, and mathematics (e.g., hypothesis testing, regression analysis, time-series forecasting). Python & ML Proficiency: You are fluent in Python and its data science ecosystem (pandas, scikit-learn, statsmodels, NumPy). You write clean, reproducible code. Forecasting Experience: You have hands-on experience with time-series analysis and forecasting techniques (e.g., ARIMA, Prophet, exponential smoothing). Advanced SQL: You can write complex queries to wrangle your own data from Snowflake without relying solely on others to prepare it for you. Preferred Masters Degree or PHD: Data Science, Applied Science, or related fields. Data Privacy Awareness: You understand the importance of protecting patient data. You are familiar with best practices for handling PHI and PII and ensuring privacy in your analysis. Startup DNA: You are a self-starter who is comfortable with ambiguity. You take ownership of problems and are willing to wear many hats to get the job done. Deployment Experience: Experience using tools like Docker, Airflow, or MLflow to deploy and monitor models in production. Healthcare Experience: Experience working with healthcare or insurance claims data is a plus. NLP & Unstructured Data: Experience applying Natural Language Processing (NLP) techniques to extract insights from unstructured text data. Marketplace Matching: Experience designing matching algorithms or ranking systems for two-sided marketplaces. dbt & Engineering Skills: Comfort reading or writing dbt models to understand the lineage of your data. Applicants must be based in the United States. Up for the Challenge? We look forward to meeting you. Fraudulent Recruitment Advisory: Solace Health will NEVER request bank details or offer employment without an interview. All legitimate communications come from official solace.health emails only or _. Report suspicious activity to recruiting@solace.health or advocate@solace.health.

The Data Scientist will work closely with the Product, Data, and Research teams to analyze labor market trends, workforce dynamics, and economic patterns. The role involves cleaning, organizing, and interpreting large-scale datasets to develop innovative models, datasets, and visualizations that provide actionable insights into the future of work. The ideal candidate will demonstrate strong statistical thinking, a solid grasp of machine learning principles, and the ability to apply core methodologies such as predictive modeling, econometric analysis, and time series forecasting. This position requires a collaborative mindset to work cross-functionally, ensuring the seamless integration of analytical insights into Lightcast's products and services. • Use SQL, Python, or other analytical tools to query, clean, and analyze large datasets., • Analyze labor market trends across dimensions such as workforce composition, job demand, employment patterns, and wage dynamics., • Apply advanced techniques including time series forecasting, clustering, regression analysis, and machine learning algorithms (e.g., decision trees, random forests, gradient boosting, support vector machines, k-means clustering) to identify patterns and forecast labor trends., • Build and maintain scalable data and model pipelines using orchestration tools like Apache Airflow, Luigi, or Sagemaker Pipelines, and model tracking tools such as MLflow., • Collaborate cross-functionally to define problem statements, gather and analyze data, integrate models into products, and translate insights into actionable recommendations for technical and non-technical audiences., • Stay informed on advancements in labor market analytics, statistical modeling, and machine learning technologies., • Bachelor’s or Master’s degree in Data Science, Statistics, Economics, Computer Science, or a related quantitative field., • 2+ years of industry experience or academic research applying statistical or machine learning approaches to real-world data problems., • 2+ years of experience in labor market analytics, workforce intelligence, or related domains (preferred)., • Proficiency in Python, SQL, and machine learning libraries such as Scikit-learn or PyTorch., • Demonstrated ability to write clean, scalable code and independently prototype data solutions., • Solid understanding of machine learning techniques such as classification, regression, and time-series forecasting., • Experience with cloud platforms (e.g., AWS) and orchestration tools like Apache Airflow for managing large datasets and workflows., • Strong statistical reasoning and ability to translate complex data into strategic business insights., • Excellent interpersonal, written, and verbal communication skills, with the ability to convey technical topics to diverse audiences., • Experience working with large labor market datasets (e.g., government labor statistics, survey data, or job market intelligence platforms) (preferred)., • Proficiency with data visualization tools such as Tableau, Power BI, or Plotly (preferred)., • Familiarity with Natural Language Processing (NLP) techniques and applications (preferred).Lightcast is a global leader in labor market insights with our headquarters located in Moscow, ID (US) and other offices in the United Kingdom, Europe, and India. We work with partners across six continents to help drive economic prosperity and mobility by providing the insights needed to build and develop our people, our institutions and companies, and our communities. Lightcast is proud to be an equal opportunity workplace and does not discriminate on the basis of federally protected statuses. Lightcast has always been, and always will be, committed to diversity of thought and unique perspectives. We seek dynamic professionals from all backgrounds to join our teams, and we encourage our employees to bring their authentic, original, and best selves to work.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. We are seeking an experienced Lead Data Scientist to drive advanced analytics initiatives focused on improving forecasting model accuracy and developing Generative AI solutions for explainability. This role requires a strong blend of machine learning expertise, forecasting experience, deep learning knowledge, and hands-on healthcare domain understanding. Key Responsibilities • Lead the design, development, and enhancement of forecasting models to improve prediction accuracy and business outcomes., • Build and deploy advanced Deep Learning models for large-scale structured and unstructured datasets., • Develop Generative AI / Explainable AI solutions to provide transparent and interpretable insights from predictive models., • Analyze healthcare datasets including claims, patient, provider, operational, or clinical data., • Collaborate with business stakeholders, product teams, and engineering teams to translate business challenges into scalable AI solutions., • Monitor model performance, retrain models, and optimize algorithms for production environments., • Mentor junior data scientists and provide technical leadership across the project., • Ensure compliance with healthcare data privacy and governance standards., • 8–10 years of experience in Data Science / Machine Learning roles., • Strong hands-on expertise in Forecasting models (time series, demand forecasting, predictive analytics)., • Experience with Deep Learning frameworks such as TensorFlow, PyTorch, or Keras., • Proven experience building Generative AI / Explainability models using LLMs, SHAP, LIME, or similar frameworks., • Mandatory experience working in the Healthcare domain., • Strong programming skills in Python, SQL, and ML libraries., • Experience with cloud platforms such as AWS, Azure, or GCP preferred., • Excellent stakeholder communication and leadership skills. This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility. Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

Our mission at Oura is to empower every person to own their inner potential. Our award-winning products help our global community gain a deeper knowledge of their readiness, activity, and sleep quality by using their Oura Ring and its connected app. We've helped millions of people understand and improve their health by providing daily insights and practical steps to inspire healthy lifestyles. Empowering the world starts with living _ and empowering our team. As a quickly growing company focused on helping people live healthier and happier lives, we ensure that our team members have what they need to do their best work — both in and out of the office. This is a remote US role with a preference for candidates based in San Francisco, San Diego, or Boston. We have offices in San Francisco and San Diego for those who prefer hybrid or office settings. Oura employees in other major cities (like Boston and New York) occasionally gather informally at local co-working locations. We are seeking a highly experienced and driven Senior Machine Learning Data Scientist to join our Women's Health team. You will play a pivotal role in developing and commercializing cutting-edge machine learning models and algorithms, leveraging wearable health data to improve women's health outcomes. You will lead complex projects, mentor junior team members, and contribute significantly to the strategic direction of our technology.. What you will do: • Contribute to the development and deployment of advanced machine learning pipelines and models for innovative Women's Health features, focusing on time-series analysis and robust validation., • Drive the commercialization of machine learning models and algorithms, collaborating closely with cross-functional teams including scientists, product managers, software developers, product designers and test engineers., • Design and execute rigorous statistical analyses for model performance evaluation, monitoring, and generating actionable insights to inform strategic product decisions., • Conduct in-depth exploratory research to identify and characterize novel health sensing features, translating proof-of-concept ideas into scalable, commercialized products., • Contribute to the development of best practices for machine learning within the Women's Health team., • Present and communicate complex technical concepts to diverse audiences. This is a remote US role with a preference for candidates based in San Francisco, San Diego, or Boston. Requirements • PhD in Biomedical Engineering, Electrical Engineering, Biostatistics, Computer Science, or a related field. And 3+ years of industry experience in machine learning and data science., • 5+ years of advanced programming experience in Python and SQL., • Extensive experience with a wide range of machine learning and statistical modeling techniques, including deep learning, time-series analysis, and signal processing., • Demonstrated experience in the full lifecycle of developing and commercializing machine learning models and algorithms., • Excellent communication skills, and the ability to articulate complex technical concepts to both technical and non-technical audiences., • Self-driven, motivated, have a pragmatic can-do attitude and delivery-focused mindset: you can move quickly and prioritize effectively., • Strong domain knowledge in Women's Health and experience with health data from wearables are significant plusses. Benefits At Oura, we care about you and your well-being. Everyone here at Oura has a ring of their own and we are continually looking to improve employee health. What we offer: • Competitive salary and equity packages, • Health, dental, vision insurance, and mental health resources, • An Oura Ring of your own plus employee discounts for friends & family, • 20 days of paid time off plus 13 paid holidays plus 8 days of flexible wellness time off, • Paid sick leave and parental leave Oura takes a market-based approach to pay, which may vary depending on your location. US locations are categorized into tiers based on a cost of labor index for that geographic area. While most offers will be closer to the starting range, successful candidates' pay will be determined based on job-related skills, experience, qualifications, work location, internal peer equity, and market conditions. These ranges may be modified in the future. • Region 1 $172,000 - $203,000, • Region 2 $158,000 - $187,000, • Region 3 $147,000 - $174,000 A recruiter can determine your zones/tiers based on your US location. We are not considering candidates residing in the following states: Alaska (AK), Delaware (DE), Iowa (IA), Mississippi (MS), Missouri (MO), Nebraska (NE), South Dakota (SD), West Virginia (WV), and Wisconsin (WI) Oura is proud to be an equal opportunity workplace. We celebrate diversity and are committed to creating an inclusive environment for all employees. Individuals seeking employment at Oura are considered without regard to age, ancestry, color, gender (including pregnancy, childbirth, or related medical conditions), gender identity or expression, genetic information, marital status, medical condition, mental or physical disability, national origin, protected family care or medical leave status, race, religion (including beliefs and practices or the absence thereof), sexual orientation, military or veteran status, or any other characteristic protected by federal, state, or local laws. We will not tolerate discrimination or harassment based on any of these characteristics. We will work to ensure individuals with disabilities are provided reasonable accommodation to participate in the interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Disclaimer: Beware of fake job offers! We’ve been alerted to scammers posing as ŌURA recruiters, especially for remote roles. Please note: • Our jobs are listed only on the ŌURA Careers page and trusted job boards., • We will never ask for personal information like ID or payment for equipment upfront., • Official offers are sent through Docusign after a verbal offer, not via text or email. Stay cautious and protect your personal details. To all recruitment agencies: Oura does not accept agency resumes. Please do not forward resumes to our jobs alias, Oura employees, or any other organization's location. Oura is not responsible for any fees related to unsolicited resumes.

We are seeking a Data Scientist to join their team. Our client, a trusted government contractor, is searching for a dedicated Data Scientist to support a high-impact U.S. Government project. This full-time role will provide technical expertise essential for maintaining mission-critical software and systems, contributing directly to the client's key objectives. Must Have's: • An active or reinstatable TS/SCI with Polygraph security clearance., • U.S. citizenship., • Strong software development skills., • Ability to work independently and collaboratively within a team., • Strong communication skills., • Experience in adversary defeat, mission management, metrics, and data visualization., • Proficiency in data compilation from multiple sources using computer scripting, statistical analysis, and data modeling., • Knowledge of large networks, telecom systems, and expertise in applying data science to interpret complex data sets. Location: Annapolis Junction, MD Salary: $50,000 to $120,000 Benefits: • Comprehensive CareFirst Medical, Dental, and Vision Coverage for employees and dependents., • Up to 25 days of Paid Time Off (PTO), with 40 hours carryover., • 11 Federal Holidays., • Flexible work-from-home options., • 401K with company contribution, fully vested from day one., • Opportunities for discretionary, certification, and sign-on bonuses., • Employee referral bonus program., • Annual professional development funding., • Fully covered life and disability insurance, with voluntary additional life insurance options., • Employee Assistance and Travel Protection Programs., • Financial planning assistance, bereavement, and jury duty leave., • Monthly team and family events, technology budget, Global Entry, and an annual swag budget. Mission Box Technologies is an Equal Opportunity Employer. We value the benefits of diversity in our workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity and expression, national origin, disability, protected Veteran status, or any other attribute or protected characteristic by law. Applicants selected may be subject to a government security investigation and must meet eligibility requirements for potential access to classified information. Accordingly, US Citizenship is required. Our strategic partner is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The statements herein are intended to describe the general nature and level of work being performed by employees and are not to be construed as an exhaustive list of responsibilities, duties, and skills required of personnel so classified. Furthermore, they do not establish a contract of employment and are subject to change at the discretion of our strategic partner.

As a Senior Data Scientist at Shopmonkey, you will be a part of a globally distributed team working closely with your product and engineering counterparts. We are looking for a generalist who thrives across the full project lifecycle — from statistical modeling and data analysis to experimentation and predictive AI — all in service of real-world auto shop needs. Shopmonkey has the structured data and workflows to support serious data science work, and you'll have the rare opportunity to help build the analytical and ML foundation from the ground up, shaping how data-driven decision making scales alongside a maturing platform and defining what the future of automotive care looks like. For Bay area candidates, this role would be hybrid with 2-3 days/week in office at our Morgan Hill, CA location for collaboration. What will do: • Design, build, and ship production-ready models across a range of problem spaces: regression, classification, clustering, ranking, and recommendation systems., • Conduct end-to-end development of data science solutions: requirements gathering, data acquisition, exploratory analysis, feature engineering, model training, evaluation, deployment, and monitoring., • Partner with stakeholders to translate ambiguous business problems into well-scoped data science projects with clear success criteria., • Define and track model performance metrics, run A/B tests, and iterate based on real-world feedback., • Perform deep exploratory data analysis to surface insights, identify data quality issues, and inform feature engineering and modeling decisions., • Work closely with ML engineers and data engineers to ensure models are integrated reliably into production pipelines and can scale appropriately., • Build and maintain analytical models and dashboards that surface actionable insights across core business areas, partnering with product and operations teams to ensure outputs drive real decisions., • Implement NLP and LLM-powered components for sentiment analysis, real-time conversation evaluation, and behavior optimization., • Translate complex analytical findings and model outputs into clear, actionable recommendations for cross-functional stakeholders., • Contribute to backlog velocity by owning appropriate tickets and delivering high-impact work in a collaborative, fast-paced environment. We are looking for people who have: • Minimum of 5+ years of industry experience in applied data science; advanced degrees (Master's or PhD) may offset years of experience., • Proven experience taking models and analyses all the way to production (not just proof-of-concepts or notebooks)., • Strong foundations in classical DS/ML: exploratory data analysis, prediction, classification, clustering, feature engineering, model evaluation, experimentation, etc., • Proficiency in Python; strong SQL skills for working with large-scale data., • Strong collaboration and communication skills—comfortable working with PMs, engineers, and other cross-functional team members., • A track record of working directly with business stakeholders to gather requirements, define metrics, and frame problems in data science terms. Have Some of These: • Deep expertise in statistical inference and hypothesis testing., • Strong working knowledge of the ML and data science library ecosystem; able to evaluate and select appropriate tools and models for a given problem, • Experience with data visualization tools and communicating results clearly to both technical and non-technical audiences., • Familiarity with LLMs and NLP frameworks (e.g., Hugging Face, LangChain) and an interest in applying them to real-world problems., • Working knowledge of MLOps principles—enough to deploy, version, and monitor models in a modern cloud environment without heavy infrastructure ownership., • Cloud infrastructure familiarity (e.g., GCP, AWS) and comfort working within existing data platforms. Bonus Points: • Prior experience working at a high-growth startup., • Experience in vertical SaaS or the automotive industry (business or consumer)., • Background in causal inference, experimentation design, or econometric modeling., • Familiarity with feature stores or shared feature pipelines across multiple models., • Experience with real-time or streaming data for live model scoring. In the United States, the range is typically a salary of $165,000 to $200,000 + bonus + equity + benefits. The range provided is Shopmonkey’s reasonable estimate of the base compensation for this role. The actual amount will be based on job-related and non-discriminatory factors such as location, experience, training, skills, and abilities. Consult with your Recruiter during the initial call to determine a more targeted range based on these job-related factors. In addition to this base compensation company stock options and benefits as outlined below are included. Shopmonkey has become an amazing environment where employees feel that they are valued as people, and not just worker bees. To ensure that our team thrives, we invest in the following perks (benefits below are mainly for U.S. based, full-time employees). Other benefits vary upon location outside of the United States, and employment status: • Medical, dental, vision, and life insurance benefits available the 1st of the month following hire date, • Short term and long term disability, • Employee assistance program, • Reimbursement for a personal health and wellness membership, • Generous parental leave, • 401(k) available upon hire, • 11 paid holidays, • Flexible time off - take the time off you need!, • Matching donations for approved charitable organizations, • Group volunteer efforts Check out our , , or _ about what it’s like to work at Shopmonkey. Join our team of _ who love what they do, and change the auto industry by helping every shop thrive. The U.S. is the second largest passenger vehicle market with more than 260 million registered passenger vehicles, and the global car repair market is estimated to be worth more than $500B. Shopmonkey aims to change the status quo and enable auto shops to become more efficient and give their customers a more delightful experience. Shopmonkey is the leading auto-repair shop software company; it is a cloud-based solution that helps auto-repair shops consolidate tools, save time, and streamline their entire operation onto a simple, easy-to-use platform. Headquartered in Silicon Valley and trusted by more than 3,500+ auto shops across the U.S. and Canada, Shopmonkey aims to change the status quo of the car repair market, estimated to be worth more than $500B. In 2021 Shopmonkey _ a $75 million Series C, supported by top-tier Silicon Valley venture capital firms Bessemer Venture Partners, Index Ventures, Headline, I2BF, and ICONIQ Growth. In 2022, Shopmonkey #4 on Forbes' annual ranking of America's Best Startup Employers list (and #1 in Business Products & Software Services). Shopmonkey was once again named as one of America's Best Startup Employers by Forbes in , and ! Shopmonkey is committed to building a diverse and inclusive team. We are looking for team members from all backgrounds that are committed to the Shopmonkey mission. Shopmonkey provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Shopmonkey is committed to the full inclusion of all qualified individuals. In keeping with our our commitment, Shopmonkey will take the steps to assure that people with disabilities are provided reasonable accommodations. Accordingly, if reasonable accommodation is required to fully participate in the job application or interview process, to perform the essential functions of the position, and/or to receive all other benefits and privileges of employment, please contact our Talent Team at _. Please note: Shopmonkey will never request sensitive information such as your social security number, bank account information, or other non-publicly available information during the application and interview process. If an applicant is extended an offer of employment, such sensitive information will be requested at that time. Shopmonkey will never ask you to receive and ship packages or goods as part of the interview. Other practices to be on alert for: • Contact initiated via unsolicited text message or cold call. Shopmonkey does not follow up with candidates through instant messaging applications., • Our Talent Acquisition team only corresponds from email addresses with the domain ‘@Shopmonkey.io’. If a generic email ID ending with Gmail/Yahoo or other domain is used while receiving a job offer or interview call, there is a likelihood of a scammer., • While some of our jobs can be found on third party job sites, all of our current job opportunities and descriptions are posted on Shopmonkey’s page, or our official The U.S. Federal Trade Commission has published helpful articles to help individuals learn more about protecting themselves from and . If you believe you were a victim of such a scam, you may contact your local law enforcement agencies. Shopmonkey is not responsible for any claims, liability, losses, damages, or expenses resulting from scammers or impersonators.

IonQ is developing the world's most powerful full-stack quantum computer based on trapped-ion technology. We are pushing past the limits of classical physics and current supercomputing technology to unlock a new era of computing. Quantum computing has the potential to impact every area of human society for the better. IonQ’s computers will soon redefine industries like medicine, materials science, finance, artificial intelligence, machine learning, cryptography, and more. IonQ is at the forefront of this technological revolution. We are looking for a Senior Staff Scientist – Quantum Financial Services. As a Senior Staff Scientist – Quantum Financial Services, you’ll be part of a cross-functional team whose mission is to lead IonQ on its journey to build the world’s best quantum computers to solve the world’s most complex problems. Our ideal candidate would be a thought leader of transformative technologies, subject matter expert in quantitative finance, and expert developer of quantum algorithms that are poised to disrupt the finance industry. You will span wide and dig deep to identify, champion and deliver hybrid applications where IonQ trapped-ion quantum computers can unlock new value. As a role model for a team of PhD application scientists, you will lead by example to develop novel algorithms, core IP and end-to-end workflows that can be incorporated by finance organizations into their workflows. You will also work closely with product, marketing, sales, operations and external customers/partners to brainstorm new ideas, define multi-year roadmaps and represent IonQ at high-visibility conferences. Often in a single day. Responsibilities: • Grow IonQ’s impact and reach across the Financial Services sector by fostering relationships with clients and developing hybrid quantum applications that will deliver commercial impact., • Be an intrapreneur within the company to shape, champion and deliver on a multi-year Quantum Financial Services roadmap., • Lead by example the process of developing state-of-the-art hybrid quantum applications optimized for CPU, GPU and IonQ trapped-ion QPU., • Collaborate across compiler, system, cloud and partner teams to integrate quantum algorithms within larger hybrid software platforms and workflows., • Be a go-to technical leader and decision maker for a team of talented PhD scientists, • Grow the team capacity both through hiring and developing capabilities from within, • While this role is remote-friendly and highly flexible, candidates must be able to travel to global customer sites and attend virtual meetings during non-core hours. You’d be a good fit with: • PhD in Computer Science, Math, Physics, Electrical Engineering or similar level of professional experience in a relevant field, • 13+ years of professional experience or an equivalent combination of education and experience, • 7 years of industry experience developing novel algorithms/applications/software for the financial sector, with increasing impact and degrees of responsibility, • Technical or people leadership experience, including hiring and growing from within, • Track record of scaling up software from research-grade artifacts (Matlab, Julia, R, Jupyter Notebook) to beta-customer to full release. Experience integrating research-grade artifacts into pre-existing code bases, • Active portfolio of high-impact scientific papers in quantum computing, AI or ML with a focus on finance applications You’d be a great fit with: • 10+ years of industry experience developing novel algorithms/applications/software for the financial sector, with increasing impact and degrees of responsibility, • Hands-on experience developing and optimizing quantum algorithms using quantum SDKs such as Qiskit (preferred), CUDA-Q, Cirq, Q#, Penny Lane and Torch Quantum., • Success as an originator and team leader to design, develop and deliver solutions that deliver value to the finance industry, • Professional experience as a trader, quant, FP&A, management consultant, etc., • Professional experience developing quantum algorithms for finance; either on an in-house quantum team within a financial organization, or else working at a quantum vendor serving the financial sector Location: This position can work onsite or hybrid from one of our offices (College Park, MD, Bothell, WA) or fully remote in the US. Travel: Up to 10% with a priority to visit customers and partners Job ID: 1060 The approximate base salary range for this position is $162,920 - $213,304. The total compensation package includes base, bonus, and equity. Compensation will vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. Posted base salary figures are subject to change as new market data becomes available. Beyond base salary, total compensation includes a variable bonus and equity component and a range of benefit options found on our career site at _. Details of participation in these benefit plans will be provided when a candidate receives an offer of employment. Our US benefits include comprehensive medical, dental, and vision plans, matching 401K, unlimited PTO and paid holidays, parental/adoption leave, legal insurance, a home internet stipend, and pet insurance! IonQ's HQ is located in College Park, Maryland, a quick 15-minute metro from Washington DC. We are actively building out our recently opened manufacturing and production facility in Bothell, WA (near Seattle). Depending on the position, you may be required to be near one of our offices in College Park, Seattle, or Toronto. However, IonQ will expand into additional domestic and international geographies, so don’t let this stop you from applying! At IonQ, we believe in fair treatment, access, opportunity, and advancement for all while striving to identify and eliminate barriers. We empower employees to thrive by fostering a culture of autonomy, productivity, and respect. We are dedicated to creating an environment where individuals can feel welcomed, respected, supported, and valued. We are committed to equity and justice. We welcome different voices and viewpoints and do not discriminate on the basis of race, religion, ancestry, physical and/or mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, transgender status, age, sexual orientation, military or veteran status, or any other basis protected by law. We are proud to be an Equal Employment Opportunity employer. The position you are applying for may require access to technology that is subject to U.S. export control and government contract restrictions. Employment with IonQ is contingent on either verifying U.S.-person status for export controls and government contracts work and/or obtaining any necessary license/confirming the availability of a license exception under U.S. export controls. Accordingly, we will have some additional questions regarding your immigration status that will be used for export control and compliance purposes, and the answers will be reviewed by compliance personnel to ensure compliance with federal law. If you are interested in being a part of our team and mission, we encourage you to apply!

Daymark Solutions is an experienced technology integration and solutions provider that helps organizations effectively architect, implement, and deploy customized solutions using best of breed technologies. Specializing in cloud solutions and datacenter technologies, Daymark’s unique combination of in-depth technical knowledge, extensive experience, and proven methodologies enable our customers to successfully address even the most difficult business and technology challenges. The Role We’re looking for an M365 Architect who thrives on solving real business challenges and shaping how modern workplaces operate. As a senior member of our Professional Services team in the Modern Work practice, you’ll lead high-impact discovery and pre-sales engagements—partnering with clients to uncover their needs, define the right solutions, and clearly articulate the value behind them. You don’t just design solutions; you influence decisions. This role is a true blend of pre-sales (50%) and post-sales (50%) consulting, giving you full ownership from the first conversation through successful delivery. You’ll architect, scope, and implement Microsoft 365 solutions while serving as a trusted advisor every step of the way, guiding clients through complex decisions and ensuring outcomes that are both technically sound and business-driven. Responsibilities • Lead technical discovery and pre-sales engagements, translating customer business needs into solution architectures, scope definitions, and compelling value propositions in partnership with the sales team., • Design, configure, and implement cloud and technology solutions while delivering documentation and knowledge transfer to customer stakeholders., • Serve as a trusted advisor throughout the project lifecycle, driving successful deployments, resolving complex technical challenges, and ensuring customer satisfaction and adoption goals are met., • Advise customers on best practices, whether with industry standards or your own recommendations, around Microsoft 365 including tenant configuration, security, integrations, endpoint management, data governance, and Artificial Intelligence., • Contribute to expanding our Microsoft partnership & Modern Work practice through growth in CSP and Professional Services revenue, the development of new technical skills & focus areas, and building relationships with key Microsoft resources., • Participate in knowledge exchanges with coworkers, regularly sharing and receiving knowledge to enhance our Microsoft 365 services, including best practices, implementation strategies, complex architectures., • Collaborate with team members to define and implement/document standards and methodologies for Professional Services engagements., • Learn security and compliance frameworks including but not limited to Cybersecurity Maturity Model Certification (CMMC) 2.0 for Defense Industrial Base customers leveraging Microsoft Azure Government and Microsoft 365 GGC High. Technical Requirements Experience with the Microsoft Partner ecosystem including Solution Partner designations, Advanced Specializations, and how to achieve them. Insight into Microsoft programs and customer funding mechanisms including ECIF. Knowledge and experience with many of the following technologies as possible: Core Microsoft 365 services including Exchange Online, SharePoint Online, Entra ID Microsoft Teams, and OneDrive for Business. Microsoft 365 GCC High in support of regulated environments specifically the Defense Industrial Base. Installation, configuration, and optimization of Entra ID Connect in large complex AD environments. Microsoft Purview, including Information Protection and Rights Management. Microsoft Intune for Mobile and Windows Autopilot, app deployment, device lifecycle, configuration profiles. Microsoft Defender Suite, including Defender for Endpoint, Defender for Cloud Apps, and Defender for Identity. Microsoft 365 Copilot and Copilot Studio. Power Platform, including Power Automate and Copilot Agents. Azure Virtual Desktop and Windows 365 Endpoint management. Quest On Demand Migration tools and/or 3rd party migration solutions. Microsoft Certifications or the ability to achieve them during the first 6-12 months: Microsoft 365 Certified: Administrator Expert (MS-102) Cybersecurity Architect Expert (SC-100) Security Operations Analyst Associate (SC-200) Identity and Access Administrator Associate (SC-300) Information Protection Administrator Associate (SC-401) Azure Administrator Associate (AZ-104) Additional Requirements • A business and technology mindset that can identify ways to grow our org and expand our capabilities., • Proven experience in identifying business challenges and requirements, building and delivering compelling presentations, crafting detailed statements of work, and clearly and concisely conveying solutions to both engineers and C-suite stakeholders., • The ability to lead multiple pre-sales engagements simultaneously and identify ways to drive repeatability and innovation within the team., • Strong organizational skills and the ability to own customer engagements end-to-end, including pre-sales architecture and design, scope and license planning, solution implementation, project management, communication, and documentation., • Strong written and verbal communication skills and the ability to clearly articulate both business and technology topics., • Excellent problem-solving and troubleshooting skills including the ability to manage communications internally and with the customer during challenging situations., • Important: U.S. citizenship is required due to access requirements for Azure Government, Microsoft 365 GCC High, and Defense Industrial Base environments. Preferred Qualifications • Relationships with Microsoft Sales, Technical Specialists, Product Managers, Program Managers, MVPs., • Deep experience with Cybersecurity Maturity Model Certification (CMMC) 2.0, • Deep knowledge of developing advanced PowerShell scripts for automating critical tasks during implementations, migrations and assessments., • The ability to help develop and refine our growing Data & AI practice leveraging your experience with Microsoft Fabric, Microsoft Foundry, Dataverse, and/or Copilot Studio including currently holding or the ability to achieve the following certifications: Azure AI Engineer Associate (AI-102), Azure Data Scientist Associate (DP-100), Azure Data Engineer Associate (DP-203), and/or Azure Database Administrator Associate (DP-300)., • The ability to help build and grow our Microsoft Power Platform practice including currently holding or the ability to achieve any of the following certifications: Power Platform Functional Consultant Associate (PL-200), Power BI Data Analyst Associate (PL-300), Power Platform Developer Associate (PL-400), Power Automate RPA Developer Associate (PL-500), and/or Power Platform Solution Architect Expert (PL-600)., • Any experience with 3rd party solutions that integrate with Microsoft 365 environments including but not limited to Varonis, Okta, Mimecast, Proofpoint, Druva and/or AvePoint., • Experience with any highly regulated environments and the associated frameworks for Banking, Life Sciences, Government, Cyber Security, etc. HR Information Full-time, permanent role Base Salary: $200,000 annually (up to $230,000 in On-Target Earnings) Comprehensive employee benefits plan Fully remote work

_ is a consulting firm that is trusted by the world’s leading organizations and specializes in business transformation and technology services. We are committed to making an impact for our customers and leveraging technology to unlock human potential. We help accelerate our customers' progress toward meaningful outcomes by bringing together cross-industry expertise, proven processes, and transformative technology to activate shared potential. Our diverse set of experts spans_ with international reach via our partnership with Nextcontinent. We're united by our desire to help our customers succeed, wherever they do business. Point B has been consistently recognized as one of the best places to work by Fortune® Magazine, Great Place to Work, Consulting Magazine, BuiltIn, and many others. Our Data and Analytics practice helps our customers across their journey to become insights-driven organizations. Insight-driven organizations use data to drive measurable business value, creating opportunities for growth, profitability and operational excellence. WHAT YOU’LL GET TO DO: Lead our customers through transformational change by driving the design and execution of data and analytics strategies Use data and analytics to work collaboratively with customer leaders to understand business challenges and the competitive market landscape to design the desired future state Contribute to the direction of our Data and Analytics Consulting practice through exceptional customer service delivery and support of business development efforts Work with teams of customer personnel and Point B consultants to plan and deliver on data and analytics initiatives Grow as a leader working alongside senior Point B consultants who provide mentorship and support Exercise your entrepreneurial spirit and contribute to the firm’s growth as an employee-owner WHAT WE OFFER: The ability to chart your career path based on expertise and passions An environment that encourages you to identify new opportunities and supports you in reaching your goals The chance to have a balanced lifestyle by working with local or national clients in a flexible consulting model The opportunity to be part of building a new practice area within Point B The support of a well-established consulting firm and access to a rich network An environment that encourages you to identify new opportunities and provides the support to make it happen The opportunity to further enable fun and collaborative culture with teams that are as passionate about their communities as they are about their clients A comprehensive, flexible Total Rewards program that supports and recognizes each individual’s unique needs and contributions to the firm WHAT WE EXPECT YOU’VE ALREADY DONE: 8+ years leading or participating in data and analytics projects, in a quantitative, data driven or highly analytical business environment Solved complex business problems by converting raw data into meaningful and actionable business ideas Developed and implemented data and analytics solutions Proven proficiency in quantitative analysis, visualization, and modeling using statistical packages for analyzing large datasets (Advanced in Excel, Tableau, SPSS, SAS, QlikView or PowerBI, etc.) Demonstrated the ability to import, clean, transform, and model data with the purpose of translating complex information into meaningful clear conclusions for decision making purposes (preferred experience with SQL, R, Python, etc.) Demonstrated the ability to work directly with customers to lead high priority initiatives and act as a trusted advisor Earned BA or BS with preference for quantitative undergraduate degree (e.g. BS in Mathematics, Economics, Computer Science, Information Management or Statistics) Available to travel up to 50% PREFERRED QUALIFICATIONS: Data warehouse and data platform design and technical implementation leadership Cloud data platforms, Azure (Microsoft Fabric and Synapse Analytics), Databricks, Snowflake, and the data platform ecosystem Power BI at an advanced level, data modeling (especially Power Query and Data Access Expressions - DAX) Experience designing, building, and deploying large scale solutions within the Power BI Premium service D&A experience in specific business functions (Finance, Sales and Marketing, Operations and Supply Chain) Experience with key data sources like Microsoft Dynamics 365, Oracle, SAP, Salesforce, and Adobe Ideally industry-specific systems experience. Electronic Medical Records (EMR) systems such as Epic, and Ecommerce and Point-of-Sale (POS) systems like Hybris and Aptos Technical certifications on the Microsoft platform (Azure Solution Architect, Azure Data Engineer, Azure Data Scientist, Azure Fabric Analytics Engineer) Certified Power BI Data Analyst THE KIND OF PEOPLE WE LOOK FOR: Versatile consultants who are passionate about data and analytics and thrive on variety and challenge Innate problem solvers who want to grow in a flexible, collaborative culture Comfortable transitioning between strategic and execution responsibilities to maximize customer value Confident decision makers with a proactive mindset Engaging leaders who make a positive impact on their firm, customers, and communities Those who have a growth mindset regarding training, practice, and evolving their skills Versatile people who thrive on variety and challenge Successful in ambiguous environments Desire to and ability to learn Passion for Point B’s Mission, Vision, Values & Culture Gets it done brand and attitude Ability to work from home Ability to work non-standard work hours when necessary. COMPENSATION AND BENEFITS: The estimated salary range for this role is $105,000 - $150,000 USD per year. This salary range is provided as required by local and state law as applicable. Individual salaries vary on a number of factors including but not limited to geography, skills, education, experience and unique qualifications where applicable. Bonuses are awarded at Point B’s discretion and are based upon individual contributions and overall firm performance. \n \n INTRIGUED TO LEARN MORE? When you apply for this role, your information will be personally reviewed by our talent acquisition team (not by a robot). You can expect to hear back from us with feedback if we think there could be a fit and what next steps look like. WHAT MAKES POINT B DIFFERENT? We put our passion for change to work, using our purpose and values as our north start. Our teams help organizations solve their greatest challenges and created an inclusive culture that attracts and retains the world’s best talent. Be part of a collaborative culture where we build lasting relationships with each other, our customers, and our communities. _ – Point B rewards high performance with a total rewards approach that includes competitive base pay, benefits, and short-and long-term incentives — as well as flexibility, leadership development opportunities, and a culture designed to help our diverse team of individuals flourish. Employee Ownership – We give employees a voice in directing their careers and the growth of our company. Our Employee Stock Ownership Plan (ESOP) is a non-contributory retirement vehicle that grows over time from annual allocations (based on individual compensation) and the value of our company. _ – We are proud to be named a Best Workplace in the US by Fortune magazine, Best Workplaces for Millennials, and Best Workplaces for Women in addition to other awards regarding our workplace inclusivity. Point B is an equal-opportunity employer committed to a diverse workforce. We provide equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. You can read more about our commitment to diversity on our _. Point B is committed to providing equal opportunities for persons with disabilities or religious observances, which includes providing reasonable accommodation for in any individuals with disabilities or for religious purposes. Applicants with disabilities may contact our Accommodations team at _ or 206-517-5000 to request and arrange for accommodations through the application and/or recruiting process. If you need assistance to accommodate a disability or religious observance, you may request an accommodation at any time. Please note: This mailbox is only for accommodation requests or questions. Please use the Contact Us form for any recruiting inquires. Legal Information for Job Seekers can be accessed on our _ Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Who we are We're Redis. We built the product that runs the fast apps our world runs on. (If you checked the weather, used your credit card, or looked at your flight status online today, you’re welcome.) At Redis, you’ll work with the fastest, simplest technology in the business—whether you’re building it, telling its story, or selling it to our 10,000+ worldwide customers. We’re creating a faster world with simpler experiences. You in? We’re Redis. We built the product that runs the fast apps our world runs on. (If you checked the weather, used your credit card, or looked at your flight status online today, you’re welcome.) Our feature store enables organizations to manage, serve, and monitor features at scale—delivering the foundation that banks, financial services firms, and enterprise customers depend on to power mission-critical machine learning workloads. We’re looking for a Senior Principal Software Engineer to own and drive our feature store product. This is a unique opportunity to shape the technical direction of a product that serves some of the world’s most demanding customers, while building a world-class engineering team. As Senior Principal Software Engineer for our Feature Store product, you will be the driving force behind our platform. You’ll own the technical vision, lead execution, and serve as the primary technical voice with our most strategic customers—including major banks and enterprise organizations with demanding requirements around performance, reliability, and compliance. This role blends deep technical leadership with customer-facing responsibilities. You’ll spend time architecting systems, guiding the roadmap, setting engineering standards, and engaging directly with customers to understand their needs and translate them into product capabilities. Own Technical Excellence: Define and drive the architecture, design patterns, and engineering standards for the feature store platform. Set a high bar for code quality, system reliability, and performance. Lead V2 Implementation: Architect and execute the next generation of our feature store—building for scale, low-latency serving, and enterprise-grade reliability. Guide Product Roadmap: Partner with Product and leadership to shape the technical roadmap. Translate customer requirements and market trends into actionable engineering priorities. Engage with Strategic Customers: Serve as a trusted technical advisor to banks, financial institutions, and enterprise customers. Lead technical discussions, understand their ML infrastructure challenges, and ensure our platform meets their needs. Build & Mentor the Team: Recruit, coach, and develop engineers. Foster a culture of technical excellence, ownership, and continuous improvement. Stay Hands-On: Actively participate in design reviews, code reviews, and critical implementation work. Lead by example in technical decision-making. Drive Adoption of Modern Practices: Champion the use of AI-assisted development tools, observability best practices, and infrastructure automation to accelerate delivery. 8+ years of experience in backend/infrastructure engineering, with demonstrated expertise in building large-scale distributed systems 3+ years in a technical leadership role—leading teams, driving architecture decisions, and mentoring engineers Deep experience with ML infrastructure, data platforms, or feature engineering systems at scale Expertise in Python, Go, and Rust Strong knowledge of cloud platforms (AWS, GCP, Azure) and modern data infrastructure (Kafka, Flink, Redis, Spark, or similar) Experience working with enterprise customers, particularly in regulated industries like financial services Excellent communication skills—able to translate complex technical concepts for both engineering teams and business stakeholders Direct experience building or operating feature stores (Feast, Tecton, Hopsworks, or custom implementations) Experience with real-time feature serving at sub-millisecond latencies Background in financial services, banking technology, or compliance-heavy environments Contributions to open-source ML infrastructure projects Hands-on experience as a data scientist or ML practitioner—training and deploying models in production High-Impact Role: Own a critical product line and directly influence how the world’s leading organizations build ML systems Enterprise Customers: Work with banks, financial institutions, and Fortune 500 companies solving real, complex problems Technical Depth: Tackle challenges in distributed systems, low-latency serving, and ML infrastructure at scale Competitive Compensation: Salary, equity, and comprehensive benefits Flexible Work: Remote-friendly culture with flexibility to do your best work Redis is committed to building a diverse and inclusive workplace. We are an equal opportunity employer and welcome candidates of all backgrounds. #LI-BL1 #Remote As a global company, we value a culture of curiosity, diversity of thought, and innovation from our employees, customers, and partners. Redis is committed to a diverse and inclusive work environment where all employees’ differences are celebrated and supported, and everyone feels safe to bring their authentic selves to work. Redis is dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national orientation, sexual orientation, age, marital status, disability, gender identity, gender expression, Veteran status, or any other classification protected by federal, state, or local law. We strive to create a workplace where every voice is heard, and every idea is respected. Redis is committed to working with and providing access and reasonable accommodation to applicants with mental and/or physical disabilities. If you think you may require accommodations for any part of the recruitment process, please send a request to _. All requests for accommodations are treated discreetly and confidentially, as practical and permitted by law. Any offer of employment at Redis is contingent upon the successful completion of a background check, consistent with applicable laws. Redis reserves the right to retain data longer than stated in the in order to evaluate candidates.

SmarterDx, a company, builds clinical AI that is transforming how hospitals translate care into payment. Founded by physicians in 2020, our platform connects clinical context with revenue intelligence, helping health systems recover millions in missed revenue, improve quality scores, and appeal every denial. Become a Smartian and help optimize the way the healthcare system works for everyone. Learn more at . We’re seeking a Senior Data Analyst specializing in product analytics to help shape the future of our revenue cycle management platform. In this highly cross-functional role, you'll collaborate with product managers, engineers, and business stakeholders to gauge opportunities, guide strategy, and inform decisions with data. You’ll explore new datasets, build prototypes, monitor performance, and measure the product impact. This role offers a unique chance to take a leading role in delivering on an ambitious product roadmap using data to enhance the operational efficiency of healthcare providers. This role is fully remote within the US • Partner with product managers and engineers to translate business goals into analytical requirements, perform exploratory analyses, and clearly communicate findings to support strategic decisions, • Design experiments to answer business questions, including defining key metrics and applying appropriate statistical techniques to analyze results, • Prototype analytics solutions and data products to accelerate product development, • Translate analytical findings into compelling data stories through clear visualizations that help stakeholders quickly grasp trends, patterns, and implications, • Becoming an expert in our data stack: how we get the data from customers, how we normalize that data, and how internal teams and customers consume that data, • Building, maintaining, and testing data models which support reporting and analytics., • Uphold high standards for code quality and documentation, while contributing to a culture of peer review and continuous learning, • 3-5+ years' experience as a data analyst or product data scientist (or, if your y-intercept is lower, evidence that your slope is super steep), • Strong technical skills: querying data with SQL, transforming data with dbt to shorten time to insight, performing analysis with python, and communicating findings with compelling data visualizations, • Masters in statistics or other relevant fields preferred, • Ownership: Build and own features from start to finish., • Strategic mindset: strong ability to connect analytics to business understanding and provide actionable insights., • Scrappiness: Navigate ambiguity effectively, understanding when it’s necessary to piece solutions together on the fly, and be able to do so., • Product focus: How can we maximize the utility and value we deliver to our end users?, • Familiarity with experiment design and statistical analysis, • Experience with health system clinical and/or revenue cycle data is preferred, • Data Visualization: Hex and Evidence, • Analysis: Python & Data Science libraries (numpy, pandas, etc), • Pipelines: Snowflake, dbt, airflow, git, and AWS $160,000 - $190,000 #LI-Remote • Medical, Dental & Vision – Comprehensive plans with leading insurance providers, covering 75% of your premiums, depending on the plan., • Paid Parental Leave – Generous paid leave to support families through birth or adoption: Up to 12 weeks for parents., • Remote-First Team – Work from anywhere in the U.S., • Unlimited PTO & 10 Holidays – So you can relax and recharge., • 401(k) with Traditional & Roth Options – Tax-advantaged retirement savings through Fidelity with a 4% match., • Minimal Bureaucracy – A fast-moving, high-impact environment where you can focus on what matters., • Incredible Teammates! – Work alongside smart, supportive, and mission-driven colleagues.

Socure is building the identity trust infrastructure for the digital economy — verifying 100% of good identities in real time and stopping fraud before it starts. The mission is big, the problems are complex, and the impact is felt by businesses, governments, and millions of people every day. We hire people who want that level of responsibility. People who move fast, think critically, act like owners, and care deeply about solving customer problems with precision. If you want predictability or narrow scope, this won’t be your place. If you want to help build the future of identity with a team that holds a high bar for itself — keep reading. As a Data Scientist II at Socure, you will occupy a high-impact, "bridge" role between our core Watchlist R&D and the Data Science Customer Applications (DSCA) teams. Your mission is to accelerate the transition from model development to real-world deployment by building the automated analysis frameworks and monitoring systems that drive customer success. You won’t just build models; you will create the technical connective tissue—including high-performance pipelines and custom dashboards—that allows Socure to onboard clients faster, resolve complex issues effectively, and continuously improve our models through a closed-loop feedback system. Develop Analysis Frameworks: Design and maintain scalable frameworks that allow the DSCA team to perform fast, effective client resolutions during POCs, onboarding, and for existing production customers. Bridge R&D and Operations: Act as the primary technical liaison between Watchlist DS and DSCA, translating complex model behaviors into actionable insights for customer-facing teams. Build Monitoring & Alerting Systems: Create and manage mission-critical dashboards and real-time alert systems to monitor model performance, identify drift, and surface false positives/negatives at a sub-segment level. Drive Closed-Loop Model Improvement: Systematically monitor customer production data and POC findings to integrate real-world feedback back into the core model development cycle. Enhance In-House Pipelines: Build and optimize end-to-end data pipelines (using Spark and Airflow) that support custom reporting and automated performance tracking for Watchlist POCs. Collaborate Cross-Functionally: Work closely with Product, Engineering, and Compliance to translate customer needs and regulatory requirements into measurable machine-learning objectives. Education: Bachelor’s degree in a quantitative field (Computer Science, Statistics, Mathematics, or similar) with 3–5 years of experience —or— a Master’s/Ph.D. with 1–3 years of experience. Technical Proficiency: Strong programming skills in Python and SQL, with hands-on experience in Spark and Databricks. Pipeline & Infrastructure: Experience with Airflow for orchestration and a working knowledge of Infrastructure as Code (e.g., Terraform) and AWS environments. Analytical Rigor: Solid grasp of descriptive statistics, hypothesis testing, and model evaluation metrics (Precision, Recall, F-beta, ROC-AUC). ML & Data Engineering: Practical experience in data curation, labeling strategies, and building automated data-quality validation checks. Communication & Impact: Excellent ability to communicate complex technical findings to both R&D peers and non-technical stakeholders. Passion for the Domain: A strong interest in NLP, LLMs, and staying ahead of the curve in compliance and regulatory technology. Experience with Elasticsearch and real-time data indexing. Background in AML (Anti-Money Laundering), Sanctions Screening, or Identity Fraud prevention. Prior experience in a "Customer Data Science" or "Solutions DS" role where you built tools for internal or external stakeholders. Please note that sponsorship is not available at this time. Socure is an equal opportunity employer that values diversity in all its forms within our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you need an accommodation during any stage of the application or hiring process—including interview or onboarding support—please reach out to your Socure recruiting partner directly. Follow Us! | | |

Role: ML/AI Engineers (This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.) Summary: Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced machine learning models, with a special emphasis on Generative AI. In this role, you will craft and refine AI-driven solutions, turning innovative ideas into value-adding features and services, thereby solidifying our market leadership and technological forefront for our clients. About Adidev Technologies Inc. Adidev Technologies,(_) is a premier IT consulting firm delivering top-notch, Machine Learning Engineer, iOS and Android, data scientist, Developer solutions to industry giants including Delta, Google, Apple, Spotify, US Bank, FedEx, and more. We're not just a software consulting company – we're a dynamic force shaping the future of technology. Partnering with industry giants, we consistently deliver groundbreaking solutions that redefine the digital landscape. As we continue to expand our footprint, we're on the hunt for exceptional individuals who can bring their technical prowess to our team and elevate our projects to new levels of innovation. Expertise: We excel in IT consultative services and quality engineer development, with Good years of experience. Global Presence: Our diverse employee workforce spans four continents. Proven Track Record: Hundreds of Fortune 1000 and innovative startup clients with thousands of successful projects across the USA. How We'll Guide You Teaching and Development: We are dedicated to nurturing your growth and development, shaping you into an exceptional consultant capable of delivering top-tier solutions to our end clients. Custom Support: An array of teams, from Development Managers to Tech Subject Matter Experts, are dedicated to your success. Project Placement: A market-expertise team ensures you secure and thrive in projects with our esteemed clients. Career Growth: We facilitate industry experience to propel your technical journey forward. Key Responsibilities: · Architect and refine sophisticated ML models and algorithms, translating complex datasets into actionable solutions. · Engage in the full lifecycle of data modeling projects, from understanding business requirements to deployment and monitoring. · Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions. · Lead cross-functional collaborations to integrate Generative AI models into our offerings, enhancing product capabilities and user experiences. · Apply advanced analytical techniques to analyze vast datasets, identifying trends, anomalies, and opportunities for improvement. · Execute data preprocessing, feature engineering, and algorithm optimization to enhance model accuracy and efficiency. · Conduct exploratory data analysis to extract valuable insights and influence strategic decisions. · Keep abreast of and implement the latest ML trends, tools, and best practices, including AutoML, MLOps, and interpretability frameworks. · Promote compliance with industry standards and regulatory requirements, emphasizing ethical AI practices. What You’ll Bring Experience architecting and developing AI or machine learning solutions on platforms such as AWS, Databricks, Azure, Google Cloud and OpenAI. Software engineering and/or Data Engineering background, especially in one of the major clouds. Hands-on experience with Deep Learning, LLM, Python, TensorFlow, PyTorch and other AI frameworks Experience putting ML/AI into production, and ability to talk through best practices and pitfalls. How to Apply: Interested candidates are invited to submit a comprehensive application, including a latest updated resume and a detailed cover letter, showcasing your expertise. Perks and Beyond! Competitive salary range: Based on experience and market value Pack your bags! Paid relocation is on us. Support, even from afar, with our remote assistance. Regular salary reviews? You betcha! Ready to Embark? we invite you to take this extraordinary step with us. Showcase your journey in pushing the limits of mobile engineering by submitting your resume and a curated selection of your most influential projects. At Adidev Technologies, we're dedicated to shaping your success. Join us to craft a future powered by innovation and growth. Note: Adidev Technologies Inc. is a staunch advocate of diversity and equal opportunity. We warmly welcome applications from candidates of all backgrounds, experiences, and walks of life. Your unique perspective could be the catalyst for our next revolutionary breakthrough

At 2U, we are all in on purpose. We are motivated by our mission – to make learning limitless– and connected by our shared passion to deliver world-class higher education at scale. As the parent company of edX, a leading online learning platform, 2U powers thousands of higher education offerings – from free courses to full degrees. Together with our college, university, and corporate partners, we are helping accelerate careers and transform lives. What We’re Looking For: The Data Scientist II will partner with Product, Marketing, and Finance stakeholders to drive insight and decision-making for edX.org, 2U's open online learning marketplace. This is a high-leverage analytics role focused on product analytics, experimentation, and causal inference on large, complex behavioral datasets. We are looking for someone who is excited by ambiguous business problems, can triage a high volume of stakeholder requests and match each one to an appropriate level of rigor, and is skilled at turning messy data into clear, actionable insight. The ideal candidate is intellectually curious, takes the initiative to understand the domain and refine the question behind the question, and communicates complex findings in ways that educate and enable stakeholders. Responsibilities Include, But Are Not Limited To: • Product analytics and ad hoc analysis Serve as the analytics partner for Product, Marketing, and Finance teams on edX.org, delivering funnel, cohort, retention, and segmentation work. Triage a high volume of incoming requests and match the depth of each response to the decision at hand, from back-of-the-envelope estimates to deeper investigations., • Experimentation and causal inference Own A/B tests end-to-end, from design and power analysis through interpretation. Where randomization isn't possible, use quasi-experimental methods such as difference-in-differences, propensity scoring, regression discontinuity, and synthetic control., • Metric definition and self-serve enablement Establish and maintain north-star, input, and guardrail KPIs. Build scalable dashboards and tooling that reduce the long tail of repeat requests., • Data modeling and validation Partner with Data Engineering to keep upstream sources trustworthy. Contribute to dbt models, lead EDA on unfamiliar datasets, and add checks that catch quality issues before they reach dashboards or partners., • Applied machine learning Use standard ML techniques (classification, regression, clustering) where they accelerate insight beyond what statistical analysis alone can deliver., • Domain learning and stakeholder education Develop a deep understanding of the edX product, learners, and business. Coach partners on statistical concepts, refine ambiguous questions, and turn complex findings into actionable recommendations. Things That Should Be In Your Background: • Education: Bachelor's degree in a quantitative field (data science, statistics, mathematics, computer science, economics, or similar). Graduate degree preferred., • Professional Experience: 3–5 years in data science, product analytics, or a related quantitative role, • Communication: Able to refine ambiguous questions, translate findings for business partners, and clarify what the results do and don't say., • Statistics & data rigor: Solid foundation in hypothesis testing, power analysis, confidence intervals, and multiple comparisons, plus strong EDA and validation skills on unfamiliar data, • Experimentation & causal inference: Running A/B tests end-to-end, plus quasi-experimental methods where randomization isn't possible (e.g., difference-in-differences, propensity scoring, regression discontinuity, synthetic control). Prefer experience with modern experimentation platforms (e.g., Statsig, Eppo, Optimizely, LaunchDarkly)., • Product analytics & domain: Hands-on with platforms like Amplitude, FullStory, or Mixpanel, plus prior work in EdTech, online learning, or a comparable consumer subscription / marketplace product, • Programming & data: Strong Python (pandas, NumPy, scikit-learn) and advanced SQL on large, complex datasets. Prefer exposure to large-scale data platforms (e.g., Snowflake, BigQuery, Databricks, Spark). While this position is open to remote candidates across the U.S., we will prioritize those who live in the Washington-Baltimore metropolitan area and who are available to come into our Headquarters in Arlington, VA two days a week. Benefits & Culture Our global employee base is a diverse collection of innovators, dreamers, and doers working together to transform lives through higher education. We believe that every employee can advance our shared purpose, and that life at 2U should be fun and meaningful. If you’re excited by the opportunity to provide millions of learners and counting with access to world-class higher education, then join us – and do work that makes a difference. We offer comprehensive benefits (unique per country) and excellent work/life balance. Full-time, U.S.benefits include: Medical, dental, and vision coverage Life insurance, disability, and 401(k) employer match Free snacks and drinks in-office Generous paid holidays and leave policies, including unlimited PTO Additional time off benefits include: volunteer days, parental leave, and a company-wide winter break The anticipated base salary range for this role is ($107,300 - $124,200), with potential bonus eligibility. Salary offers are made based on the candidate’s qualifications, experience, skills, and education as they directly relate to the requirements of the position, budget for the position and cost of labor in the market in which the candidate will be hired. 2U Diversity and Inclusion Statement At 2U, we are committed to building and sustaining a culture of belonging, respect, and inclusion. We are proud of the steps we’ve taken to bring together an employee base that embodies diverse walks of life, ideas, genders, ages, races, cultures, sexual orientations, abilities and other unique qualities. We strive to offer a workplace where every employee feels empowered by what makes us different, as well as by how we are alike. 2U is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodations, please reach out to us at: _. About 2U 2U partners with the world's top universities and companies to develop and deliver education programs that accelerate careers and transform lives. Through partnerships with the world’s leading colleges, universities, and companies, 2U delivers thousands of online programs to millions of learners worldwide on edX, its global learning platform. From executive education and professional credentialing to master’s degree programs and free, open courses, 2U transforms how top institutions deliver workforce-aligned online education, enabling professionals to advance without pausing their careers. Learn more at 2U.com. The above statements are intended to describe the general nature and level of work performed by individuals assigned to this position, and are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required. All employees may be required to perform duties outside of their normal responsibilities from time to time, as needed. 2U is an equal opportunity employer that does not discriminate against applicants or employees and ensures equal employment opportunity for all persons regardless of their race, creed, color, religion, sex, sexual orientation, gender identity, pregnancy, national origin, age, marital status, disability, citizenship, military or veterans’ status, or any other classifications protected by applicable federal, state or local laws. 2U’s equal opportunity policy applies to all terms and conditions of employment, including but not limited to recruiting, hiring, training, promotion, job benefits and pay.

Who are we? Smarsh empowers its customers to manage risk and unleash intelligence in their digital communications. Our growing community of over 6500 organizations in regulated industries counts on Smarsh every day to help them spot compliance, legal or reputational risks in 80+ communication channels before those risks become regulatory fines or headlines. Relentless innovation has fueled our journey to consistent leadership recognition from analysts like Gartner and Forrester, and our sustained, aggressive growth has landed Smarsh in the annual Inc. 5000 list of fastest-growing American companies since 2008. Summary As a Sr. Data Scientist at Smarsh, you will be analyzing a wide range of unstructured communications data to address problems for our customers through attentive listening, astute planning, and out of the box thinking to develop solutions and reporting results in an engaging manner. The role will involve working with other Senior Data Scientists and mentoring Associate Data Scientists in analyzing complex data, generating insights, and creating solutions as needed across a variety of tools and platforms. The ideal candidate for this position will possess the ability to perform both independent and team-based research and generate insights from large data sets with a hands-on/can do attitude of servicing/managing day to day data requests and analysis. This role offers a unique opportunity to get exposure to many problems and solutions associated with taking machine learning and analytics research to production. On any given day, you will have the opportunity to interface with business leaders, machine learning researchers, data engineers, platform engineers, data scientists and many more, enabling you to level up in true end-to-end data science proficiency. • Collect, analyze, and interpret small/large datasets to uncover meaningful insights to support the development of statistical methods / machine learning algorithms., • Development of machine learning models and other analytics following established workflows, while also looking for optimization and improvement opportunities, • Data annotation and quality review, • Exploratory data analysis and model fail state analysis, • Methodology, results and insights reporting, including model Governance report drafting in collaboration with senior team members, • Client/prospect guidance in machine learning model and analytic fine-tuning/development processes, • Providing guidance to junior team members on model development and EDA, • Working with Product Manager(s) to intake project/product requirements and translate these to technical tasks within the team’s tooling, technique and procedures, • Continued self-led personal development, • Bachelor’s degree in Computer Science, Applied Math, Statistics, or a scientific field, • 3-5 years’ experience working with data & analytics, • Experience working with Python, SQL and noSQL databases, • Experience with one or more data science and machine/deep learning frameworks and tooling, including scikit-learn, H2O, keras, pytorch, tensorflow, pandas, numpy, carot, tidyverse, • Command of data science and statistics principles (regression, Bayes, time series, clustering, P/R, AUROC, exploratory data analysis etc…), • Strong knowledge of key programming concepts (e.g. split-apply-combine, data structures, object-oriented programming), • Solid statistics knowledge (hypothesis testing, ANOVA, chi-square tests, etc…), • Knowledge of NLP transfer learning, including word embedding models (gloVe, fastText, word2vec) and transformer models (Bert, SBert, HuggingFace, and GPT-x etc.), • Experience with natural language processing toolkits like NLTK, spaCy, • Knowledge of microservices architecture and continuous delivery concepts in machine learning and related technologies such as helm, Docker and Kubernetes, • Knowledge of Agentic Processing, • Familiarity with training and evaluating transformer-based models, • Understanding and Experience of NLP Techniques in traditional pipelines, metrics, process and evaluation for supervised and unsupervised learning., • Familiarity with Deep Learning techniques for NLP., • Familiarity with LLMs; using ollama & Langchain, • Excellent verbal and written skills, • Proven collaborator, thriving on teamwork, • Preferred Qualifications, • Master’s or Doctor of Philosophy degree in Computer Science, Applied Math, Statistics, or a scientific field, • Familiarity with cloud computing platforms (AWS, GCS, Azure), • Experience with automated supervision/surveillance/compliance tools $135,000 - $175,000 a yearThe above salary range represents Smarsh's good faith and reasonable estimate of the range of possible base compensation at the time of posting. Any applicable bonus programs will be discussed during the recruiting process. The salary for this role will be set based on a variety of factors, including but not limited to, internal equity, experience, education, location, specialty and training. About our culture Smarsh hires lifelong learners with a passion for innovating with purpose, humility and humor. Collaboration is at the heart of everything we do. We work closely with the most popular communications platforms and the world’s leading cloud infrastructure platforms. We use the latest in AI/ML technology to help our customers break new ground at scale. We are a global organization that values diversity, and we believe that providing opportunities for everyone to be their authentic self is key to our success. Smarsh leadership, culture, and commitment to developing our people have all garnered Comparably.com Best Places to Work Awards. Come join us and find out what the best work of your career looks like.

About the Manager, Data Analytics at Headspace: What you will do: • Drive significant business outcomes by leading impactful and complex data projects that align with strategic priorities., • Define and execute the vision for data analytics, ensuring alignment with company goals and objectives., • Provide thought leadership by collaborating with Product, Engineering, Marketing, and Operations to translate complex business problems into scalable analytical frameworks., • Recommend and implement actionable insights that drive measurable results and optimize key business metrics., • Serve as the organization’s subject matter expert on advanced statistical analysis, experimental design, methodology, and financial impact analysis, ensuring best practices are followed., • Guide the team in executing A/B testing strategies, data modeling, and predictive analytics to inform decision-making. • Lead root cause analyses for critical business metrics, crafting structured approaches to identify and address key drivers. Facilitate discussions with senior stakeholders and teams to prioritize and implement optimization strategies that drive efficiency and growth., • Architect and implement automation solutions for analytical processes, including experimentation readouts and self-service analytics, improving scalability and efficiency., • Drive innovation in reporting and data accessibility to empower stakeholders with real-time insights., • Lead the development of high-quality data product requirements, dashboard scopes, and automated reporting solutions. • Build strong partnerships with Data Engineering, Business Intelligence, and other data stakeholders to enhance data infrastructure and accessibility., • Partner with Business Intelligence engineering teams to drive both immediate data initiatives and the long-term vision for data-driven reporting and metric frameworks., • Advocate for the adoption of best-in-class analytics tools, methodologies, and governance practices., • Independently identify opportunities for improvement or growth, initiate projects, and lead them to successful outcomes with measurable impact., • Establish and refine analytical processes to ensure consistency, accuracy, and scalability across the organization., • Deliver compelling presentations to cross-functional teams and executive leadership, showcasing data-driven insights with clarity and precision., • Effectively communicate complex analytical findings in a way that drives strategic decision-making and organizational alignment., • Supervise a team of Staff Engineers, Staff/Sr. Data Analysts, and Capacity Planning Sr. Manager., • Telecommuting permitted pursuant to company policy. What you will bring: Required Skills: • Education Requirements: Bachelor’s degree or foreign equivalent in Computer Science, Statistics, Mathematics, Business Analytics, or related quantitative field., • Experience Requirements: Five (5) years of experience as a Lead Data Analyst, Lead Business Analyst, Product Data Analyst, Data Scientist, or related occupation., • Must have experience with the following: working directly with executive leadership and product leaders to align analytics with strategic goals; analytics focused on customer growth, engagement, and lifecycle optimization; owning and managing data products; big data technologies (Redshift, S3, Databricks, Datalakes, and Spark); and SQL, Python, R, Looker, Tableau, Statistics, Amplitude, Domo, CoreMetrics, Google Analytics, and Excel.) Location: We are currently hiring this role remotely in the greater Los Angeles, California area. Candidates must permanently reside in the US full-time. Pay & Benefits: The anticipated new hire base salary range for this full-time position is $158,900 - $224,250 + equity + benefits. Our salary ranges are based on the job, level, and location, and reflect the lowest to highest geographic markets where we are hiring for this role within the United States. Within this range, individual compensation is determined by a candidate’s location as well as a range of factors including but not limited to: unique relevant experience, job-related skills, and education or training. Your recruiter will provide more details on the specific salary range for your location during the hiring process. At Headspace, base salary is but one component of our Total Rewards package. We’re proud of our robust package inclusive of: base salary, stock awards, comprehensive healthcare coverage, monthly wellness stipend, retirement savings match, lifetime Headspace membership, generous parental leave, and more. Additional details about our Total Rewards package will be provided during the recruitment process. About Headspace Headspace exists to provide every person access to lifelong mental health support. We combine evidence-based content, clinical care, and innovative technology to help millions of members around the world get support that’s effective, personalized, and truly accessible whenever and wherever they need it. At Headspace, our values aren’t just what we believe, they’re how we work, grow, and make an impact together. We live them daily: Make the Mission Matter, Iterate to Great, Own the Outcome, and Connect with Courage. These values shape our decisions, guide our collaborations, and define our culture. They’re our shared commitment to building a more connected, human-centered team—one that’s redefining how mental health care supports people today and for generations to come. Why You’ll Love Working Here: • A mission that matters—with impact you can see and feel, • A culture that’s collaborative, inclusive, and grounded in our values, • The chance to shape what mental health care looks like next, • Competitive pay and benefits that support your whole self How we feel about Diversity, Equity, Inclusion and Belonging: Headspace is committed to bringing together humans from different backgrounds and perspectives, providing employees with a safe and welcoming work environment free of discrimination and harassment. We strive to create a diverse & inclusive environment where everyone can thrive, feel a sense of belonging, and do impactful work together. As an equal opportunity employer, we prohibit any unlawful discrimination against a job applicant on the basis of their race, color, religion, gender, gender identity, gender expression, sexual orientation, national origin, family or parental status, disability*, age, veteran status, or any other status protected by the laws or regulations in the locations where we operate. We respect the laws enforced by the EEOC and are dedicated to going above and beyond in fostering diversity across our workplace. *Applicants with disabilities may be entitled to reasonable accommodation under the terms of the Americans with Disabilities Act and certain state or local laws. A reasonable accommodation is a change in the way things are normally done which will ensure an equal employment opportunity without imposing undue hardship on Headspace. Please inform our Talent team by filling out _ if you need any assistance completing any forms or to otherwise participate in the application or interview process. Headspace participates in the _. Privacy Statement All member records are protected according to our_. Further, while employees of Headspace (formerly Ginger) cannot access Headspace products/services, they will be offered benefits according to the company's benefit plan. To ensure we are adhering to best practice and ethical guidelines in the field of mental health, we take care to avoid dual relationships. A dual relationship occurs when a mental health care provider has a second, significantly different relationship with their client in addition to the traditional client-therapist relationship—including, for example, a managerial relationship. As such, Headspace requests that individuals who have received coaching or clinical services at Headspace wait until their care with Headspace is complete before applying for a position. If someone with a Headspace account is hired for a position, please note their account will be deactivated and they will not be able to use Headspace services for the duration of their employment. Further, if Headspace cannot find a role that fails to resolve an ethical issue associated with a dual relationship, Headspace may need to take steps to ensure ethical obligations are being adhered to, including a delayed start date or a potential leave of absence. Such steps would be taken to protect both the former member, as well as any relevant individuals from their care team, from impairment, risk of exploitation, or harm. For how how we will use the personal information you provide as part of the application process, please see: _

Location: Arlington, VA; Pittsburgh, PA; or Remote Travel: Up to 75% Role Type: Full-time $140-$175K + up to 30% bonus + Equity We are a premier defense technology firm transforming National Security through software-driven strategic advantages. Our flagship AI-enabled platform modernizes the defense acquisition lifecycle—from supply chain and logistics to modernization and sustainment. By replacing outdated manual processes with high-fidelity data and advanced analytics, we empower the national security community and every branch of the military to make faster, more informed decisions for the future of defense. We are seeking an inquisitive Forward Deployed Data Scientist with deep expertise in Artificial Intelligence and a sophisticated understanding of complex Defense Acquisition challenges. You will work with proprietary and commercial datasets to uncover critical connections, derive actionable knowledge, and identify potential risks that help government leaders make mission-critical decisions. Your role involves designing, developing, and rapidly deploying scalable AI solutions that transform data into strategic capabilities. You must be an AI expert with a strong command of data science fundamentals and a proven ability to bring data-driven solutions to life within the defense ecosystem. The ideal candidate is a highly organized problem-solver and a "scrappy" out-of-the-box thinker. You lead by influence, possess an intolerance for mediocrity, and are motivated to roll up your sleeves to produce simple, impactful solutions to complex problems. AI Innovation: Develop and deploy new AI methods and systems to solve complex defense challenges. Rapid Prototyping: Build AI models, heuristics, and agentic solutions from the ground up. Client Engagement: Work directly with customers to translate vague mission needs into concrete AI workflows and technical requirements. End-to-End Ownership: Take full accountability for client problems, from initial discovery to deploying production code into AI systems. Cross-Functional Collaboration: Partner with AI platform and data engineering teams to build end-to-end production solutions. Generalization: Wrap specific Data Science solutions into reusable agentic AI frameworks and features for broader deployment. Agentic Systems: Create agentic AI systems using AI orchestrators and advanced reasoning capabilities. U.S. Citizenship is required. Required Skills: Technical Translation: Proven ability to embed with clients, understand vague national security challenges, and translate them into concrete technical documentation for multiple teams. Prototyping & Deployment: Expertise in rapidly prototyping agentic solutions and deploying production-grade code. Impact Measurement: Experience evaluating, tuning, and measuring the real-world impact of AI/DS solutions. Agentic Frameworks: Competency in building agent skills to solve specific problems and integrating those solutions into broader frameworks. Communication: Strong ability to communicate complex concepts clearly to both technical and non-technical users. Desired Skills: Academic Excellence: A strong publication record in top AI, ML, NLP, or Decision Science conferences. Evaluation Systems: Deep knowledge of LLM and Agentic system evaluation. Specialized Domains: Expertise in Operations Research, Optimization, or Decision Science. Enterprise Scaling: A track record of successfully transitioning research prototypes into robust, production-grade enterprise solutions.

Our vehicles do more than just drive themselves - they provide value to communities, bridge public transit gaps and move people where they need to go safely, easily and with a lot more fun. We’re building the world’s best autonomy system to reimagine transit by minimizing congestion, expanding access and encouraging better land use in order to foster more green, vibrant and livable spaces. Since our founding in 2017, we’ve given more than 300,000 autonomy-enabled rides to real people around the globe. And we’re just getting started. We’re hiring people who share our passion for building the future, today, solving real-world problems and seeing the impact of their work. Join us. May Mobility is experiencing a period of significant growth as we expand our autonomous shuttle and mobility services nationwide. We are seeking talented data scientists and machine learning engineers to develop automated methods for contextualizing data collected by our autonomous vehicles. This will enable us to generate valuable insights from our data, making it easily searchable for triaging issues, creating test sets, and building datasets for autonomy improvements. Join us and make a crucial impact on our development and business decisions! • Evaluate simulation test results to drive release & safety decisions., • Work independently with cross functional teams to develop software and system requirements., • Lead team code quality activities including design and code reviews., • Communicate complex analytical findings and model performance metrics to both technical and non-technical stakeholders through clear visualizations and presentations., • Provide technical guidance to team members. Success in this role typically requires the following competencies: • Expertise in analyzing high-dimensional simulation data., • Experience building ML prediction models., • Detail-oriented with a focus on validation, testing, and error detection., • Awareness of the latest advancements in the field, with the ability to translate innovative concepts into practical solutions for May., • Excellent problem-solving skills with a meticulous approach to model architecture and optimization., • Ability to provide individual and team mentorship, including technical leadership for complex projects. Required • B.S, M.S. or Ph.D. Degree in Engineering, Data Science, Computer Science, Math, or a related quantitative field., • 10+ years of hands-on experience as a Data Scientist or ML Engineer with a strong focus on algorithmic design and deep learning., • Strong proficiency in Python, SQL, and data analysis tools (e.g., Pandas, NumPy, Spark)., • Demonstrated expertise in databases for data extraction, transformation, and analysis., • Proven experience building and managing large datasets and evaluations., • Hands-on expertise in architecting and training complex predictive machine learning models., • Prior experience in mentoring and supporting junior engineers. Desirable • Background in Autonomous vehicles, robotics, physics or related fields., • Hands-on experience working with simulation data. Benefits and Perks • Comprehensive healthcare suite including medical, dental, vision, life, and disability plans. Domestic partners who have been residing together at least one year are also eligible to participate., • Health Savings and Flexible Spending Healthcare and Dependent Care Accounts available., • Rich retirement benefits, including an immediately vested employer safe harbor match., • Generous paid parental leave as well as a phased return to work., • Flexible vacation policy in addition to paid company holidays., • Total Wellness Program providing numerous resources for overall wellbeing Don’t meet every single requirement? Studies have shown that women and/or people of color are less likely to apply to a job unless they meet every qualification. At May Mobility, we’re committed to building a diverse, inclusive, and authentic workforce, so if you’re excited about this role but your previous experience doesn’t align perfectly with every qualification, we encourage you to apply anyway! You may be the perfect candidate for this or another role at May. Want to learn more about our culture & benefits? Check out our _! May Mobility is an equal opportunity employer. All applicants for employment will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity or expression, veteran status, genetics or any other legally protected basis. Below, you have the opportunity to share your preferred gender pronouns, gender, ethnicity, and veteran status with May Mobility to help us identify areas of improvement in our hiring and recruitment processes. Completion of these questions is entirely voluntary. Any information you choose to provide will be kept confidential, and will not impact the hiring decision in any way. If you believe that you will need any type of accommodation, please let us know. Note to Recruitment Agencies: May Mobility does not accept unsolicited agency resumes. Furthermore, May Mobility does not pay placement fees for candidates submitted by any agency other than its approved partners. Salary Range $200,591 - $295,000 USD

Job Responsibilities: • Manage data scientist and data specialist team., • Identify the efficient source for quality data collection,, • Lead data collection and data mining processes., • Ensure and guarantee data integrity., • Analyze data and interpret data problems., • Plan project, prioritize and streamline all planned data projects., • Develop a proper analytic system according to the requirements., • Analyze and test the performance of the products., • Build reports on the visualization and performance of the products., • keep implementing new techniques and models., • Line up the data projects according to the goals of the company. Job Skills: • Bachelor’s degree in Data Science, Computer Science, or other related fields., • Proven experience in Data Science and other related fields., • Good understanding o techniques of data management and visualization., • Expertise in statistical data analysis and predictive data modeling., • Good technical and coding knowledge of Python, R language, MATLAB, SQL, and other databases., • Outstanding communication skills., • Inspiring leadership qualities and organizational skills._

Alpha is a product studio focused on the intersection of AI and consumer social – backed by a16z and many of the top investors in the world. Our goal is to create social products that we use, that our friends use, and that have the potential to reach billions of people. Clubhouse was our first app, and we’ve been quietly growing that while building our next set of products. We have years of runway, millions of users, and find ourselves at a very interesting time, where AI is making entirely new things possible with voice. If you are a talented builder who’s interested in joining us, we’d love to talk. You'll be the senior technical anchor for our data science function, shaping how we do data science at Alpha, driving cross-functional data strategy, and helping the team do its best work. You’ll set direction for our experimentation practice and bring analytical clarity to the biggest strategic bets we’re making, across all product areas. You’ll own data strategy across the company. You’ll set direction for our experimentation practice and bring analytical clarity to the biggest strategic bets we’re making, across all product areas. We're a small team (1 data scientist + a part-time data engineer) at a company with millions of users. Your work will be high-leverage and visible. You’ll provide mentorship and thought partnership to our senior data scientists, and operate with the autonomy that comes with setting direction, not just executing within it. We are a remote friendly-company — with a strong commitment to ensuring people can do great work here and thrive without having to live near an office. This role is open to candidates across the U.S. You're technically deep. You have 7+ years of experience as a data scientist. You're highly fluent in SQL and Python — not just for analysis, but for influencing engineering decisions, defining data infrastructure standards, and being a credible technical voice in system design conversations. You're comfortable operating across an end-to-end data pipeline: you can triage pipeline issues, spec data engineering work, and lead a data engineer through complex problems when needed. You've designed and analyzed experiments, know the difference between a well-run test and a noisy one, and have deep expertise in predictive modeling and ML techniques. You think like a product partner, not a service org. You don't wait for requests – you proactively identify what questions matter, size opportunities, and help product managers figure out where to place bets. You have a healthy skepticism about data and know when something doesn't add up and dive deeper towards the right solution. You communicate with clarity. You can take a messy analysis and turn it into a clear recommendation. You write well. You build dashboards and visualizations that people actually use to make decisions. You thrive with autonomy. You will set the agenda for what the team works on and helps shape which bets the company makes. You thrive in turning ambiguity into a roadmap. You ship. You have a bias toward getting things done. You'd rather have a good-enough answer today than a perfect one in two weeks. You are a team player. You have a low-ego, put the team’s success first, and believe that fostering a collaborative and diverse environment is not only integral to the team's well-being but also crucial for driving innovation and achieving long-term success. Own our experimentation framework and standards across squads. Define how we design, run, and evaluate experiments, setting the bar for what a well-run test looks like, driving consistency across the org, and directly owning the highest-stakes analyses. Drive strategic opportunity sizing across the company. You’ll proactively identify where we should place bets and make data proactive product partners. You’ll synthesize signals across product areas and help leadership prioritize before roadmaps are locked. Own company-wide, top line metric strategy and drive the data changes needed to ensure high data coverage and accurate metric forecasting for our quarterly and yearly goals. Lead our predictive modeling and ML work. You’ll own the models that proactively shape product direction and mentor data scientists in developing these skills. You’ll grow, teach, and improve rapidly. At Clubhouse you’ll be working with an incredible team, who love to learn from and teach each other. You’ll find yourself stretching to new areas, immersed in feedback, and growing your skills on a daily basis. You’ll create something meaningful. Social products allow people to connect in ways that were never before possible. When the telephone was invented, it suddenly allowed people to speak with others across the world. Thanks to FaceTime, grandparents everywhere can now watch their grandchildren grow up. At Clubhouse, you’ll be figuring out something entirely new for the world—a positive product that brings people’s voices together to help everyone have a life filled with great friendships. Our company is proud to be an equal opportunity employer. We do not discriminate in hiring or make any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristics. We are committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at _.

JOB DESCRIPTION: We are looking for a talented, enthusiastic and dedicated person to support the Fraud Risk Data Science Team within the Risk Data & AI Innovation Org. The incumbent will be responsible for supporting key projects associated with fraud detection, risk analysis and loss mitigation. This position requires a person who has experience with machine learning, model development with cutting edge AI/ML frameworks, performing analytics, statistical analysis and model monitoring. Experience with LLMs and other AI tools would be a big plus. Wed love to chat if you have: • 2-6 years of experience in machine learning/AI, data science, risk analytics & data analysis within relevant industry experience in eCommerce, online payments, user trust/risk/fraud, or investigation/product abuse., • Bachelors/Master's degree in Data Science, Data Analytics, Mathematics, Statistics, Data Mining or related field or equivalent practical experience, • Experience using statistics and data science (machine learning & AI) to solve complex business problems, • Proficiency in SQL, Python, AWS, Excel including key data science libraries, • Proficiency in data visualization including Tableau, • Experience working with large datasets, • Ability to clearly communicate complex results to technical experts, business partners, and executives including development of dashboards and visualizations, ie Tableau., • Comfortable with ambiguity and yet able to steer AI and machine learning projects toward clear business goals, testable hypotheses, and action-oriented outcomes, • Demonstrated analytical thinking through data-driven decisions, as well as the technical know-how, and ability to work with your team to make a big impact., • Desirable to have experience or aptitude solving problems related to risk using data science and analytics, • Bonus: Experience with development and implementation of AI tools (e.g. LLMs) for risk use cases. Key Job Functions: • Design and develop machine learning and AI models detect/mitigate fraud, • Support stakeholders and cross-functional teams in effective usage of models, • Drive AI transformation for all risk management activities at BILL, • Work with product/engineering to implement, monitor and refine AI solutions and models Expected Outcomes: • Work closely with team members and stakeholders to consult, design, develop, and manage fraud models and AI solutions., • Utilize data analysis to design and implement fraud models, • Collaborate with cross-functional stakeholders including product managers and engineering teams to deploy data-driven fraud models and AI solutions that operate at scale and in real time for end customers., • Make business recommendations to leadership and cross-functional teams with effective presentations of findings at multiple levels of stakeholders., • Development of dashboard and visualizations to track KPI of fraud models implemented Preferred Skills: • Machine Learning & Artificial Intelligence, • Data Science, • Model development, • Dashboard Creation, • Project Management, • Strong Communication Skills. Notes from Hiring Manager: • Strong SQL proficiency, • Experience applying statistics and data science to tackle intricate business challenges especially in Fraud mitigation, • Proficiency in AWS Quicksight and Tableau, • This is a hybrid position, so candidates must be based in the San Jose area. HM will entertain remote candidates if no viable local candidates can be sourced., • Strictly contract to cover multiple leaves over a 1 yr. period., • Potential to extend based on business need and performance., • Day shift: M-F Pacific time, • Multiple Zoom interviews (2-3) SQL assessment during 1st interview. MUST HAVE: • 2-6 years of experience in machine learning/AI, data science, risk analytics & data analysis within relevant industry experience in eCommerce, online payments, user trust/risk/fraud, or investigation/product abuse., • Bachelors/Master's degree in Data Science, Data Analytics, Mathematics, Statistics, Data Mining or related field or equivalent practical experience, • Experience using statistics and data science (machine learning & AI) to solve complex business problems, • Proficiency in SQL, Python, AWS, Excel including key data science libraries, • Proficiency in data visualization including Tableau, • Experience working with large datasets, • Bonus: Experience with development and implementation of AI tools (e.g. LLMs) for risk use cases.

What We Do Milliman IntelliScript is a group of a few hundred experts in fields ranging from actuarial science to information technology to clinical practice. Together, we develop and deploy category-defining, data-driven, software-as-a-service (SaaS) products for a broad spectrum of insurance, health IT and life sciences clients. We are a business unit within Milliman, Inc., a respected consultancy with offices around the world. IntelliScript attracts top candidates with its innovative, collaborative, and entrepreneurial atmosphere focused on excellence, outstanding customer service, balance, and transparency. Everyone’s opinion counts here, and we motivate each other to explore our full and varied potential. Our steady growth means there are ongoing opportunities for you to expand your skills, take on new responsibilities, and advance in your career. Our team is smart, down-to-earth, and ready to listen to your best ideas. We reward excellence and offer competitive compensation and benefits. Visit our for a closer look at our company, and learn more about our cultural values . Milliman invests in skills training and career development and gives all employees access to a variety of learning and mentoring opportunities. Our growing number of Milliman Employee Resource Groups (ERGs) are employee-led communities that influence policy decisions, develop future leaders, and amplify the voices of their constituents. We encourage our employees to give back to their varied professions, including leadership in professional organizations. Please visit our _ to learn more about Milliman’s commitments to our people, diversity and inclusion, social impact, and sustainability. What this position entails IntelliScript’s Data has been a key part of our success and is critical to our future. In this position as a Staff Data Engineer of IntelliScript’s Data Platform, you will be a trusted advisor across leadership and engineering team, responsible for technical decisions. You will ensure data systems work together across our hybrid environments with a focus on scale and performance. You will lead technical and architecture decisions in collaboration with architecture and data engineering teams while ensuring compliance with industry-leading data privacy standards. What you will be doing • Acts as a subject matter expert and thought leader within the Data Platform Domain, • Data Strategy: Serves as a thought leader in data processing design and implementation, defining advanced structure for moving, storing, and maintaining high-quality data, • Team Leadership: Leads projects by managing timelines, coordinating teams, and communicating project statuses. Influences organizational direction through effective leadership and strategic collaboration, • Data Governance and Security: Serves as a subject matter expert on governance standards, continuously aligning data practices with evolving industry best practices and requirements, • Project Management and Scope of Work: Contributes to defining the overall vision and strategy for data engineering within the organization, ensuring alignment with organizational goals and long-term objectives, • Results Orientation: Establishes visionary goals, advises on strategic plans, employs advanced monitoring, influences high-level stakeholders, and delivers transformative results, • Data Platform: Expansion of our Data Warehouse(s) and Lakehouse solutions for a healthcare data focused enterprise, • Data Governance: Configuring and maintaining unity catalog to enable enterprise data lineage, data quality, auditability and data stewardship, • Data Security: Building out Data Security protocols and best practices including the management of identified and de-identified (PHI/PII) solutions, • Access Management: Always ensure a policy of least privilege is followed for anything being implemented, • External Data Products: Building data solutions for clients while upholding the best standards for reliability, quality, and performance, • ETL: Building solutions within Delta Live Tables and automation of transformations, • Medallion Architecture: Building out performant enterprise-level medallion architecture(s), • Streaming and Batch Processing: Building fit-for-purpose near real-time streaming and batch solutions, • Large Data Management: Building out performant and efficient enterprise solutions for internal and external users for both structured and unstructured healthcare data, • Platform Engineering: Building out Infrastructure as Code using Terraform and Asset Bundles, • Costs: Working with the business to build cost effective and cost transparent Data solutions, • Pipeline/ETL Management: You will help architect, build, and maintain robust and scalable data pipelines, monitoring, and optimizing performance, • Experience working with Migration tools i.e. Fivetran, AWS technologies and custom solutions, • Identify and implement improvements to enhance data processing efficiency, • Design and implement reliable and resilient Event Driven data processing, • Experience with building out effective pipeline monitoring solutions, • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, Delta Live Tables, Python, Scala, and cloud-based ‘big data’ technologies, • API Development: Drive our design and implementation of internal APIs for integrating data between different systems and applications, • Integration with external systems utilizing API driven processes to ingest data, • Develop APIs built on top of datasets for internal systems to consume data from Databricks, • Experience integrating with external APIs including but not limited to Salesforce, Financial systems, HR systems and other external systems, • Data Modeling: Lead design, implementation, and maintenance of standards based (FHIR, OMOP, etc.) and efficient data models for both structured and unstructured data, • Assemble large, complex data sets that meet functional and non-functional business requirements, • Develop and maintain data models, ensuring they align with business objectives and data privacy regulations, • Collaboration: Partner internally and externally with key stakeholders to ensure we are providing meaningful, functional, and valuable data, • Effectively work with Data, Development, Analysts, Data Science, and Business team members to gather requirements, propose, and build solutions, • Communicate complex technical concepts to non-technical stakeholders and provide guidance on best practices, • Ensure that technology execution aligns with business strategy and provides efficient, secure solutions and systems, • Gather requirements and build out project plans to implement those requirements with forecasted efforts to implement, • Processes and Tools: Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc., • Build analytics tools that utilize the data pipeline to provide actionable insights into operational efficiency and other key business performance metrics, • Create data tools for clinical, analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader, • Lead investigation of new tooling, develop implementation plans, and deployment of necessary tooling What we need • 15+ years of relevant experience in design, development, and testing of Data Platform solutions, such as Data Warehouses, Data Lakes, and Data Products, • Expert level experience working in Databricks and AWS, • Expert level experience working in both relational and non-relational databases such as SQL Server, PostgreSQL, DynamoDB, DocumentDB, • Experience managing and standardizing clinical data from structured and unstructured sources, • Experience building and managing solutions on AWS, • Expert knowledge in healthcare standards including FHIR, C-CDA, and traditional HL7, • Expert knowledge in clinical standards/ontologies including ICD10/SNOMED/NDC/LOINC/Rx Norm, • Expert in building out data models, data warehouses, designing of data lakes for enterprise and product use cases, • Familiarity with designing and building APIs, ETL and data ingestion processes and utilization of tools to support enterprise solutions, • Experience in performance tuning, query optimization, security, monitoring, and release management, • Experience working with and managing large, disparate, identified and de-identified data sets from multiple data sources, • Experience with building and deploying IAC using terraform, asset bundles and GitHub, • Experience collaborating with Data Science teams and building AI based solutions to drive efficiencies and business value What you bring to the table • Demonstrated “let’s find a way to do it” attitude – no task is too big or too small, • Effective collaboration and communication across multiple technical and non-technical disciplines, • Comfortable working through ambiguous situations, • Able to teach & mentor others on new/emerging technologies, • Customer obsessed with a business-centric focus, • Able to understand both strategic and tactical needs and balance appropriately, • Driven, thorough and self-directed, • Able to lead through influence and persuasion, • Curiosity to explore industry trends and drive the organization to utilize fit for purpose solutions Wish list • Bachelor's degree or master's degree in computer science, data engineering or related field, • Health and Life Insurance business experience, • Professional level solution architecture certification in AWS Location The expected application deadline for this job is June 30, 2026. This position is open to remote work. Applicants must be willing to travel to the Milliman office in Brookfield, WI as needed and travel nationwide for meetings, conferences, and team events. Compensation The overall salary range for this role is $131,600 - $249,780. For candidates residing in: • Alaska, California, Connecticut, Illinois, Maryland, Massachusetts, New Jersey, New York City, Pennsylvania, Virginia, Washington, or the District of Columbia the salary range is $151,340 - $249,780., • All other locations the salary range is $131,600 - $217,200. A combination of factors will be considered, including, but not limited to, education, relevant work experience, qualifications, skills, certifications, etc. Benefits We offer a comprehensive benefits package designed to support employees’ health, financial security, and well-being. Benefits include: • Medical, Dental and Vision – Coverage for employees, dependents, and domestic partners, • Employee Assistance Program (EAP) – Confidential support for personal and work-related challenges, • 401(k) Plan – Includes a company matching program and profit-sharing contributions, • Discretionary Bonus Program – Recognizing employee contributions, • Flexible Spending Accounts (FSA) – Pre-tax savings for dependent care, transportation, and eligible medical expenses, • Paid Time Off (PTO) – Begins accruing on the first day of work. Full-time employees accrue 15 days per year, and employees working less than full-time accrue PTO on a prorated basis, • Holidays – A minimum of 10 paid holidays per year, • Family Building Benefits – Includes adoption and fertility assistance, • Paid Parental Leave – Up to 12 weeks of paid leave for employees who meet eligibility criteria, • Life Insurance & AD&D – 100% of premiums covered by Milliman, • Short-Term and Long-Term Disability – Fully paid by Milliman Equal Opportunity All qualified applicants will receive consideration for employment, without regard to race, color, religion, sex, sexual orientation, national origin, disability, or status as a protected veteran.

Senior Data Scientist (United States - Remote) Why this Role Matters: At Greenbox Capital, we help small businesses thrive by providing fast, accessible funding. As a Senior Data Scientist, you’ll play a key role in building and scaling the predictive models that power our credit decisioning, risk management, and fraud prevention strategies. Your work will directly influence how we evaluate opportunities, optimize profitability, and deliver smarter, faster decisions to our customers. You’ll drive results across machine learning, experimentation, and data-driven strategy, helping us continuously improve our products and operations. This role reports to the VP of Technology and is a critical contributor to our data science function and overall growth strategy. What Success Looks Like: Here’s how your time might break down (actual time can shift depending on business needs): • Model accuracy and predictive performance impacting credit decisions, • Business impact through conversion rate, revenue growth, and risk-adjusted profitability, • Effectiveness of experimentation (A/B testing and causal inference insights), • Reliability and scalability of production models How you’ll be measured: Data Science Strategy & Model Development • Design, build, and deploy predictive models that directly impact credit, risk, and product performance, • Apply causal inference and experimentation to improve model and business outcomes Cross-Functional Collaboration & Business Impact • Partner with product, risk, and leadership teams to translate business needs into data-driven solutions, • Communicate insights clearly to influence strategic decisions Model Deployment & Data Infrastructure • Support production deployment and ongoing optimization of models, • Monitor performance and continuously improve model accuracy and reliability You’re a Strong Fit if You: • Have demonstrated ability to analyze complex problems and deliver data-driven solutions with measurable impact, • Bring strong ownership and accountability in a fast-paced, growth-oriented environment, • Are naturally curious and continuously seek to improve models, systems, and processes, • Communicate complex ideas clearly to both technical and non-technical audiences, • Collaborate effectively across global, cross-functional teams, • Exhibit a growth mindset and adaptability when working with evolving data and business needs What You’ve Done Before: • Bachelor’s degree in Data Science, Computer Science, Mathematics, Statistics, or related field required; advanced degree (MS, PhD, or MBA) preferred, • 8+ years of experience in data science, predictive modeling, and financial analytics, • Proven success developing and deploying machine learning models in FinTech or financial services, • Experience in merchant cash advance, revenue-based financing, or alternative small business lending (strongly preferred), • Experience working in startup or high-growth environments and scaling systems Tools and Expertise You’ll Bring: • Advanced proficiency in Python for model development and system design, • Strong experience with SQL and large-scale data analysis, • Deep expertise in statistical modeling, machine learning, and feature engineering, • Experience designing and analyzing A/B tests and applying causal inference methods, • Experience with model deployment, monitoring, and lifecycle management, • Familiarity with Databricks, MLflow, and modern MLOps practices What to Expect from Our Interview Process We believe in a respectful, efficient, and transparent hiring experience. Here’s what you can typically expect: Step 1: Initial Phone Screen (30 minutes) A brief conversation with a recruiter to learn more about your background, interests, and alignment with the role. Step 2: Hiring Manager Interview (1 hour) A deeper discussion about the role, your relevant experience, and how you’d contribute to the team. Step 3: Role-Specific Assessment or Panel Interview (1 hour) Depending on the role, this may include a take-home assignment, technical interview, or live case study with team members. Step 4: Final Interview or Leadership Chat (1 hour) A final conversation with senior leadership or cross-functional team members to ensure alignment with our mission and values. Step 5: Offer & Background Check If it’s a mutual fit, we’ll move forward with background check and present a competitive offer. We aim to complete this process within 2–3 weeks from your first conversation with us. Benefits: 💸 Competitive Pay - We know your worth and we pay accordingly. 🌴 Flexible PTO - Work hard, rest well. Take the time you need to recharge. 🏡 Remote - Fully remote within the U.S., working Eastern Time hours to keep everyone aligned. 🩺 Full Benefits Package - Health, dental, vision, 401K with employer match 🧠 Smart, Supportive Teammates - Collaborate with sharp minds who are kind, driven and uphold our core values: Wear Green First, Pull the Thread, Move the Needle, Courage Over Comfort, Think Bold, Win Together, and Own the Outcome

PeopleFun is an award-winning creator of mobile games for players across the globe. PeopleFun is a Dallas-based game studio founded and led by game industry veterans, where game developers thrive on collaboration, creativity, teamwork, and fun. Our games are played by over 25 million players each month, and we have a number of exciting mobile games in development to fuel the future growth of PeopleFun. We believe in bringing People together through Fun by creating the best in class social features and communities in our games that enables our players to engage deeply with other players. Secondly we endeavor to bring our studio teammates together by creating the very best game teams that foster healthy collaboration, incredible productivity, and life-long professional relationships. Candidates who reside or will reside in the following locations are eligible for this role: California, Colorado, Florida, Georgia, Illinois, Maryland, Massachusetts, Minnesota, Nevada, New Hampshire, New Jersey, Oregon, Rhode Island, Texas, and Washington State. Job SummaryPeopleFun is actively seeking a highly skilled and innovative Principal Engineer to lead the development of our pioneering dynamic difficulty system, WordAlgo. This critical role involves optimizing the player experience by dynamically adjusting game difficulty in real-time, leveraging initial rule-based algorithms, and subsequently integrating advanced Machine Learning and Large Language Models. The impact of this work will extend across multiple mobile word puzzle games within our portfolio, significantly enhancing player engagement and retention. Reporting to a General Manager with a strong engineering background, the successful candidate will operate within a collaborative, agile team comprising a data scientist and a data engineer. This environment emphasizes iterative development, A/B testing, and continuous evaluation of innovative solutions. We are looking for a professional with a proven track record in challenging technical domains, a proactive approach to problem-solving, and a passion for creating highly engaging mobile game experiences. This position offers a unique opportunity to contribute to a transformative initiative within a fast-paced and forward-thinking organization. • Design, develop, and implement the core Word Algorithm (WordAlgo) system, initially focusing on rule-based logic and evolving into ML and LLM-driven solutions using unit tests, • Create tools to convert and generate optimized data for use in mobile games., • Collaborate closely with data engineers and data scientists to integrate data pipelines and leverage player data for difficulty detection and adjustment., • Work hand-in-hand with game development teams to seamlessly integrate WordAlgo into existing and new mobile games, ensuring a clean and well-documented API for game logic to consume., • Design and document technical specifications for WordAlgo components, including algorithm logic, data flow, and API contracts., • Participate actively in an Agile development environment, contributing to iterative design, implementation, and testing cycles., • Continuously monitor and analyze game performance data to identify opportunities for algorithm optimization and player experience improvement., • Articulate technical concepts, challenges, and solutions clearly and concisely to both technical and non-technical stakeholders through verbal and written communication., • Champion PeopleFun's culture of trust, humility, and team-focused results in all aspects of work., • 7+ years of experience in mobile game development, with a strong understanding of game architecture and systems., • Demonstrated experience successfully launching and operating at least one commercial mobile game title., • Expert-level proficiency with Unity game engine, including a deep understanding of its architecture, scripting (C#), and best practices., • Proven ability to design and implement robust, scalable, and well-documented APIs., • Excellent verbal and written communication skills, with the ability to articulate complex technical ideas and engage in productive discussions., • Experience writing comprehensive technical design documents., • Familiarity with Agile development methodologies and a track record of delivering iteratively., • Experience with or a strong understanding of Machine Learning concepts and applications., • Familiarity with Unity Sentis or similar on-device ML inference engines., • Experience working with large datasets and data-driven systems., • Knowledge of Natural Language Processing (NLP) or Large Language Models (LLMs).PeopleFun provides a competitive total compensation package with a pay-for-performance rewards approach. The expected base pay range for this [CA-based or North America-based] position is $120,000–$206,250. Compensation is based on factors including market location and individual qualifications. Depending on the position offered, equity, sign-on bonuses, and other compensation may be included as part of the total package. BenefitsMedical/Dental/Vision Insurance Performance Bonuses401K Match Policy Flexible PTO PolicyWellness Stipend Free Lunch each FridayGenerous Parental Leave & Family-Friendly CultureAnnual Credits for Professional Development & In-App Purchases PeopleFun is proud to be an equal opportunity employer that is committed to inclusion and diversity. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status, or other legally protected characteristics. Learn more about EEO rights as an applicant _.