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statistics & Mathematicsdata handlingdata collectingdata analysis and modelingdata visualizationdata clesningprogrammingmicro1 is the leading AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. micro1 transforms that real-world expertise into high-quality training data, evaluations, and feedback loops that improve how AI systems learn, reason, and perform. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We aim to enable 1 billion people to do meaningful work by applying their expertise to AI. As our global expert network grows, micro1 is building the human intelligence layer for frontier AI. Job Title: Data Scientist Job Type: Contractor Location: Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. Key Responsibilities: • Collect, clean, and preprocess diverse data sets to ensure integrity and readiness for analysis., • Develop, validate, and implement statistical models to extract actionable insights from complex data., • Conduct exploratory data analysis to identify trends, patterns, and opportunities for business improvement., • Present findings and recommendations through compelling data visualizations and reports, tailored for technical and non-technical stakeholders., • Collaborate closely with team members to design and execute end-to-end data projects, from ideation to delivery., • Continuously improve analytical methodologies and automation processes to enhance data workflows., • Communicate effectively in both written and verbal formats, ensuring clarity and impact of data-driven recommendations. Required Skills and Qualifications: • Expertise in statistics, mathematics, and data analysis techniques., • Proven experience in collecting, handling, and cleaning large, complex data sets., • Proficiency in programming languages such as Python, R, or similar for data manipulation and modeling., • Strong data modeling skills with experience in building and validating predictive models., • Advanced ability to visualize data using tools like Tableau, Power BI, or related libraries., • Meticulous attention to detail and commitment to data quality at every stage., • Excellent written and verbal communication skills, with an emphasis on clarity and precision. Preferred Qualifications: • Experience working in a remote, cross-functional, or customer-focused team environment., • Background in developing and deploying machine learning solutions in production settings.

$80 - $150/hourpayPhysics MasteryWritten Technical CommunicationCritical Evaluation & Error DetectionCalibrated Technical JudgmentVerification & Cross-Checking Fluencymicro1 is the leading AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. micro1 transforms that real-world expertise into high-quality training data, evaluations, and feedback loops that improve how AI systems learn, reason, and perform. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We aim to enable 1 billion people to do meaningful work by applying their expertise to AI. As our global expert network grows, micro1 is building the human intelligence layer for frontier AI. Role Title: Physics Expert (Postdoc / Junior professor) Role Type: Contractor Location: Remote (US, Canada, UK focused) micro1 is engaging Physics Experts (Postdoc / Junior professor) to participate in a high-impact project supporting a customer in the science and technology sector. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. Scope of Work • Critically evaluate and review physics solutions, mathematical derivations, and theoretical arguments generated by researchers or AI platforms., • Detect errors, unjustified steps, missing assumptions, dimensional inconsistencies, and weaknesses in logic or methodology., • Delineate between substantive scientific issues and stylistic or cosmetic matters, providing technically precise written feedback., • Articulate and document the reasoning behind any identified flaws, ensuring actionable guidance for improvement., • Recognize when correct reasoning can be optimized, and offer suggestions to sharpen or clarify the argument., • Utilize LaTeX, SymPy, Python, and Jupyter to independently verify or counter-check scientific claims as appropriate., • Deliver structured feedback designed to support iterative enhancement of submitted work and project outcomes. Preferred Qualifications • PhD in physics and an active record of independent research within a specialized subfield (e.g., High Energy/Mathematical Physics, Biophysics/Statistical Physics, Condensed Matter, AMO/Quantum Optics, Gravitation/Cosmology, Quantum Information, or Optical Materials)., • Experience as a postdoctoral researcher, research fellow, junior/assistant professor, or senior research scientist., • Recent (last ~5 years) representative publications in the relevant subfield, with arXiv or DOI links., • Advanced proficiency with LaTeX, SymPy, Python, and Jupyter for theoretical modeling and computational validation., • Demonstrated skill in reviewing the work of others—through peer review, supervision, dissertation committees, or group seminars., • Exceptional written communication skills with the ability to convey nuanced, constructive feedback with technical rigor., • Reliable access to high-speed internet and a computer suitable for rigorous technical work.

Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry’s digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity. Senior Data Scientist - VLM (LATAM) Xometry is seeking a Senior Data Scientist to join our Generative AI team. The candidate will focus on training and fine-tuning Visual Language Models (VLMs) for multimodal document understanding. The ideal candidate will leverage their expertise in machine learning and computer vision to advance Xometry's capabilities in processing and extracting structured data from complex documents and images. This is a 1-year contract. Responsibilities: • Develop, fine-tune, and evaluate Visual Language Models (VLMs) to enhance document understanding, focusing on multimodal data such as text, images, and technical drawings., • Design and implement data preparation, cleaning, and augmentation processes tailored to multimodal model training, ensuring high-quality data pipelines for VLMs., • Leverage transfer learning and pre-trained models to accelerate model development and optimize performance on Xometry’s specific data., • Use cloud resources (e.g., Amazon Web Services) to scale training and fine-tuning processes for VLMs efficiently., • Collaborate with data engineering and machine learning operations (MLOps) teams to deploy VLMs into production and monitor their performance., • Interpret model outputs and improve model accuracy and robustness by applying data analysis and visualization tools (such as Python, Jupyter Notebooks, and SQL)., • Experiment with and implement state-of-the-art model architectures, continuously optimizing VLM performance in a fast-paced, iterative environment., • Work within a team-oriented setting, participating in peer reviews, sharing insights, and contributing to an environment of continuous learning and improvement. Requirements: • A bachelor’s degree is required; an advanced degree (M.S. or PhD) in computer science, data science, machine learning, or a related field is highly preferred., • 5+ years of experience in data science and machine learning, with expertise in Visual Language Models or multimodal machine learning., • Strong experience with machine learning libraries and frameworks such as PyTorch, TensorFlow, or Hugging Face., • Proficiency in Python, including libraries like pandas, numpy, and scikit-learn., • Solid understanding of deep learning techniques and experience with transfer learning, fine-tuning, and model evaluation., • Experience with cloud platforms (e.g., AWS SageMaker) for model training and deployment., • Familiarity with data processing and visualization tools (SQL, Jupyter Notebooks, Looker, etc.) and basic database knowledge (e.g., Snowflake, MongoDB)., • Excellent analytical and problem-solving skills, with a strong ability to work in an environment that values teamwork, innovation, and continuous learning., • Familiarity with computer vision tasks and frameworks, as well as experience with multimodal data, is a plus. #LI-Remote Here at Xometry we believe in diversity, equity, inclusion and belonging. We are committed to welcoming, respecting, and valuing people for who they are as individuals, learning from their differences, embracing their uniqueness, and providing a positive workplace for all. Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status. For US based roles: Xometry participates in E-Verify and after a job offer is accepted, will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.

Description Facet was founded in 2016 on the belief that objective, personalized financial advice is essential to living well. Our mission is to empower people to live more enriched lives by delivering a new standard of advice. By removing asset minimums, we provide holistic planning that goes far beyond investments to address every way money impacts life. To achieve this, we leverage a "human-plus-tech" approach, combining the expertise of CFP® professionals with cutting-edge AI and automation. This model allows Facet to integrate advice into our members’ entire financial picture—all for an affordable, flat membership fee. Our commitment to innovation and member success has earned national recognition, including being ranked the #1 Best Financial Advisory Firm 2025 by USA TODAY and named to Newsweek’s list of America’s Top Financial Advisory Firms 2025. With an A+ BBB Rating and a Trustpilot “Excellent” score (as of Sept. 16, 2025)*, we are proud to be redefining the industry for our members and our team alike. • Diverse Problems: We partner with every team at Facet on cross-departmental initiatives that directly improve the member experience and level up our workflows. Optimization, classical ML, NLP, and LLMs are all on the table. We pick the right tool for the job, not the most familiar one., • End-to-End Ownership: You own the data science workflow from problem framing through deployment: scoping, dataset construction, modeling, and delivery. You'll partner closely with engineering and product teams to bring your work into production., • Visible impact: Your work shapes decisions across the company. On a team this size, there's a short line between what you build and the value you deliver. As a Staff Data Scientist with a focus on both reporting and predictive modeling, your day-to-day responsibilities will include a mix of tasks related to data analysis, visualization, and predictive model development. Your core duties will consist of: • Exposing Insights: As a Data Scientist, your goal is not to just display data, but turn it into information. You will produce analysis reports and diagnostic models to try and discover hidden relationships and patterns between our data and metrics of interest., • Evaluate & Produce Quality: Good code is reviewed code. You will be involved in ensuring your and your teammates’ code is free from errors, bias, and is easy to understand., • Data Engineering: We are a newer team at a growing company, and you’ll need to do a lot of your own data engineering. Gather, clean, and preprocess data from various sources, ensuring accuracy and consistency. Perform feature engineering to generate new variables or transform existing ones to improve the quality and usefulness of the dataset. Tie all these tasks together in a pipeline and deploy on cloud based infrastructure., • Predictive Modeling: Develop, validate, and deploy predictive models using machine learning algorithms and statistical techniques, such as regression, classification, clustering, time series forecasting, and optimization., • Generative Modeling: Use a combination of open source and paid technologies to produce abstractions & novel features for other applications., • Continuous Improvement: Data Science is a quickly moving field and you’ll need to keep up to date. You will need to keep abreast of the latest developments in data science, machine learning, and reporting technologies, while incorporating them into your work when appropriate. Participate in knowledge-sharing sessions to contribute to the growth and development of others. Requirements • 7+ years of experience in a data science or machine learning role, • Experience with at least one dashboarding tool, such as: Tableau, Power BI, Looker, Google Data Studio, Streamlit, Dash, etc…, • Proficiency with Python, • Proficiency with SQL, • Knowledge of machine learning algorithms and statistical techniques for predictive modeling, such as: Regression, Classification, Clustering, Time Series Analysis, and Optimization, • Proficiency with end-to-end pipelines, • Expert knowledge in model evaluation metrics, • Experience pulling data from various third party systems and APIs, • Proficiency with version control, • Proven ability to work both independently and as part of a team, • Proficiency with visualization in python, • Familiar with best practices in secure data handling and customer data privacy, • Proven record of converting business problems to data science solutions, • Prior experience in the financial planning industry, • Prior experience in the consumer technology industry, • Prior experience using containers to produce repeatable and shareable code, • Prior experience with Natural Language Processing, • Prior experience with cloud deployment, • Prior experience with Neural Networks and/or LLMs, • Prior experience with business optimization Benefits • Competitive Compensation: $180,000 - $220,000 base salary + bonus, • Ownership: Equity in a rapidly growing company on the path to becoming the "Next Great Financial Services Company"., • Flexibility: Remote-first culture—work from anywhere in the U.S.., • Time Off: Flexible Paid Time Off (PTO)., • Comprehensive Benefits and Perks: Medical, dental, vision, 401(k) match, disability, paid parental leave, wellness reimbursement, and education reimbursement programs. *Facet was ranked #1 Best Financial Advisory Firm 2025 by USA TODAY in April 2025 who partnered with Statista to rank the top 500 RIAs. Recommendations were collected via an independent survey among over 30,000 individuals. self-recommendations were prohibited, and no compensation was provided for the ranking. Facet has been Accredited with the Better Business Bureau® since June 2025, and as of February 2026 holds an A+ BBB Rating. This Accreditation does not imply BBB approval or endorsement. Plant-A Insights Group and Newsweek partnered to identify America's Top Financial Advisory Firms 2025. This analysis was performed with data as of September 2024 and reviewed over 15,000 financial advisories registered with the SEC. These rankings prepared by Plant-A reflect editorial content and no compensation was provided by Facet in connection with America's Top Financial Advisory Firms 2025." As of February 25, 2026; Facet has a 4.8 star rating with TrustPilot.com. TrustPilot uses a formula for calculation that considers three factors: time span, frequency, and Bayesian average. After the calculation, a TrustScore is then visualized into a star rating from 1 to 5 stars, including half stars. Facet’s star rating is calculated from reviews from January of 2022 to present day. Daily star rating may fluctuate. Companies on Trustpilot aren't allowed to offer incentives or pay to hide reviews and Facet has not made any payments in offer or receipt of any reviews. _

Analytica is seeking a Data Scientist to support long term federal client engagements projects in the DC Metro area. The role will apply statistical programming, modeling, visualization techniques, data mining, and forecasting skills to analyze challenging public sector problems. This position is fully remote. Analytica has been recognized by Inc. for 3 consecutive years as one of the 250 fastest growing business. We offer competitive compensation with opportunities for bonuses, employer paid health care, training and development funds, and 401k match. Responsibilities include: • Pre-processing - Demonstrate the skills and experience to collect, clean, and prepare data sets for input into a computational model using Python. Strong candidates will explain various methods you have applied using common pre-processing functions such as stop word removal, stemming, lemmatization, and tokenization., • Feature Engineering and Attribute Evaluation - Candidate must demonstrate experience with NLP feature engineering methods such as TF-IDF, word2vec, GloVe, and FastText identifying the key determinants for modeling that exist in the business process and within existing data sets as well as selecting evaluation protocols (model techniques)., • Modeling - Candidates will have practiced skills and experience selecting classification modeling techniques to fit the business problem. Examples will include techniques such as machine learning (ML) supervised and unsupervised learning, regression, neural networks and deep learning, natural language processing, etc., • Validation - Strong candidates will describe their experience with investigating, reporting, and justifying model results., • Visualization- Experience in presenting the results of their modeling activities, depicting the insights realized, and explaining the relevance of their results to the organization’s business challenges.Qualifications:, • Master's degree required, and PhD preferred in Statistics, Mathematics, Computer Science, or similar, • High degree of experience utilizing SAS, R, or Python to support NLP use cases such as Document Summarization, Named Entity Recognition, Sentiment Analysis, and/or Topic Modeling, • At least four years of experience developing scalable, production-ready NLP solutions using sci-kit learn, Keras, TensorFlow, PyTorch, Spark NLP., • Experience using git/github to version control source code, • Experience leveraging transformer architecture to develop NLP models, • Experience with open source NLP packages such as Gensim, SpaCy, or NLTK., • Experience with BERT, GPT-J, RoBERTa, T5 or other transformers, • Experience with GenAI and Prompt Engineering is a plus, • Experience in Databricks and MLFlow is a plus, • Experience with machine translation and transcription of foreign language documents using Microsoft Azure translation services is a plus, • Experience working in an AWS cloud environment and with related AWS services such as Bedrock and Textract, • Experience coordinating and maintaining user stories, • Must be a US citizen, • Must be able to obtain and maintain a Public trust security clearance About : Analytica is a leading consulting and information technology solutions provider to public sector organizations supporting health, civilian, and national security missions. Founded in 2009 and headquartered in Bethesda, MD, the company is an established that has been recognized by Inc. Magazine each of the past three years as one of the 250 fastest-growing companies in the U.S. Analytica specializes in providing software and systems engineering, information management, analytics & visualization, agile project management, and management consulting services. The company is appraised by the Software Engineering Institute (SEI) at and is an _ provider. Analytica LLC is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all individuals, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other characteristic protected by applicable federal, state, or local law. As a federal contractor, we comply with the Vietnam Era Veterans' Readjustment Assistance Act (VEVRAA) and take affirmative action to employ and advance in employment qualified protected veterans. We ensure that all employment decisions are based on merit, qualifications, and business needs. We prohibit discrimination and harassment of any kind. Analytica LLC also provides reasonable accommodations to applicants and employees with disabilities, in accordance with applicable law. To enhance efficiency, fairness, and accuracy, Analytica may use AI-assisted tools to support certain aspects of our hiring process. • Application Review: AI tools may help identify skills and experiences relevant to the role., • Interview Support: AI-powered notetaking tools may be used during interviews to document discussions and summarize key points. These tools are used to assist our team. All hiring decisions are made by Analytica recruiters and hiring managers. By submitting an application, you acknowledge that AI-assisted tools may be used to support parts of the application and interview process. When receiving email communication from Analytica, please ensure that the email domain is analytica.net to verify its authenticity.

I'm _, Senior Manager, Data Science at Teamworks. I lead the data scientists behind our Hockey and Basketball platforms, and right now we're hiring for both — one Data Scientist focused on Hockey, one on Basketball. These are teams I'd put up against anyone doing technical work in sports analytics today, working with tracking and pose data that most researchers and analysts won't have access to for years. Both roles are for people who want to get into the data, understand it deeply, and build things that last. The work is different by sport, but the profile is similar: strong data science fundamentals, an eye for how data should be structured to support modeling, and genuine passion for the sport and the analytics pushing it forward. Both roles involve building on top of proprietary tracking and pose data to create metrics, models, and analyses that elite sports organizations actually use. Day-to-day the work looks like this across both: Build and transform new data sources into tables, features, and structures that are easy for the team and our clients to build on Develop, extend, and validate models — including event-probability models and athleticism models — ensuring data representation supports both current and future use cases Build metrics and analyses that NHL and NBA clients rely on to make decisions, and support client-facing work by digging into the data to answer their questions directly Extract meaningful features from high-dimensional tracking and pose data, and update existing models to incorporate new signals as they become available Validate models and outputs — your own and others' — with enough rigor that the team can trust what ships Write clear reports that communicate technical work to the product team and broader organization The Hockey role centers on expanding our platform to non-NHL contexts using Sportlogiq tracking data and incoming Hawk-Eye pose data — including stick location, body orientation, and skating models. The Basketball role centers on building metrics and player evaluations on top of our EPV (Expected Possession Value) framework, translating model outputs into tools NBA front offices can actually use. 3+ years of experience working with sports tracking data including the kinds of models typically built and the data challenges that come with them Strong data science fundamentals: you understand how models work, what they need from the data, and how to set data up to support them Proficiency in Python or R, with solid statistical foundations and comfort with SQL for building and querying structured data Attention to detail in how data is structured and represented, with an eye for edge cases, consistency, and how downstream users will interact with what you build A team-first mentality — both teams are small, and being someone others can rely on matters as much as technical skill For Hockey: direct experience with hockey data or hockey analytics (inside a team, public work, or academically), and familiarity with pose or skeleton data or other high-dimensional spatiotemporal data sources For Basketball: experience working inside an NBA front office or comparable environment, familiarity with deep learning methods, and public-facing basketball analytics work that demonstrates how you think about the game Hockey and basketball analytics are both moving fast, and these teams are at the front of it — working directly with NHL and NBA organizations on decisions that matter, using data most researchers won't have access to for years. If you want to do work that pushes the field forward and have it actually land with real teams, these are rare seats to be in. We're the Operating System for Sports™, powering 6,500+ organizations worldwide, from collegiate programs to every major pro league. Founded in 2006, we've evolved from a messaging tool for college football into the leading sports tech platform, with 500+ global teammates building the future of sports tech. Our solutions span Personnel, Coaching, Performance, Operations, and Intelligence - helping teams recruit smarter, train better, stay compliant, and win. Teamworks is an equal opportunity employer - if you live our core values every day and are honest, hardworking, humble, committed, innovative, and an all-around exceptional person, you'll thrive at Teamworks. We are committed to building a diverse and inclusive workforce and take affirmative action to not discriminate based on race, religion, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, age, sexual orientation, veteran or military status, or any other legally protected characteristics. This policy applies to all employment practices within our organization, including but not limited to recruiting, hiring, promotion, termination, compensation, benefits, and training. Teamworks is committed to providing reasonable accommodations for candidates with disabilities who need assistance during the hiring process. To request a reasonable accommodation, please email _. To all recruitment agencies: Teamworks does not accept agency resumes. Please do not forward resumes to our jobs alias, Teamworks employees or any other organization location. Teamworks is not responsible for any fees related to unsolicited resumes.

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.

Are you interested in working directly for a single sponsor while having the security and additional career opportunities that working for a global CRO can bring? Our team says it’s the best of both worlds... ClinChoice is searching for a Principal Clinical Data Scientist Consultant – R Programmer to join one of our clients. We are seeking a Clinical R programmer / Principal Clinical Data Scientist to join our Scientific Computing Technology group, which builds the open-source tools, R packages, SAS macros, and computing systems that power clinical programming, data management, and biostatistics across the organization. Reporting to the Director of Statistical Programming, this role blends hands-on clinical deliverables with contributions to the open-source and internal tooling that supports the wider clinical technical community. The ideal candidate has strong R skills, deep clinical programming experience, working Python familiarity, and an interest in modern, reproducible workflows. This position is open to remote candidates. • Develop, validate, and maintain SDTM and ADaM datasets in R — using admiral and the broader pharmaverse — following CDISC standards., • Generate Tables, Listings, and Figures (TLFs) in R or SAS as required by study needs., • Perform Pinnacle21 validation, resolve findings, and refine specifications to ensure CDISC compliance and submission readiness., • Write efficient, reproducible, well-structured R code for clinical data analysis and reporting., • Contribute to open-source and internal tooling — including R Shiny / teal modules, R packages, SAS macros, and Python utilities — used by clinical programming, data management, and biostatistics teams., • Partner with statisticians, data managers, and clinical teams to translate programming requirements into reliable deliverables., • Perform QC, reconcile data issues, and ensure outputs meet regulatory expectations (e.g., FDA, EMA)., • Support automation, pipeline development, and version-controlled workflows., • Use SAS for legacy studies or where SAS support is needed., • Bachelor’s or Master’s degree in Statistics, Computer Science, Mathematics, Life Sciences, or a related field., • 5+ years in clinical programming, with a strong focus on R., • Proven experience producing SDTM and ADaM datasets in R, including hands-on use of admiral., • Experience with Pinnacle21 validation and remediation., • Working knowledge of SAS programming., • Working knowledge of Python for analytics, scripting, or tooling., • Solid understanding of CDISC standards (SDTM, ADaM) and metadata-driven programming., • Experience with clinical trial data, regulatory submissions, and QC processes., • Strong analytical, problem-solving, and documentation skills., • Broader pharmaverse experience (e.g., tidyCDISC, rtables) and tidyverse fluency., • Experience building or contributing to R Shiny apps, teal modules, or R packages used by other teams., • Exposure to AI/ML tooling in a clinical or programming context., • Real-World Evidence (RWE) experience — e.g., mapping Flatiron or claims/EHR data into CDISC-aligned structures., • R Markdown, Quarto, or other reproducible reporting workflows., • GxP validation, Git-based version control, and CI/CD or automated workflows., • CRO or pharmaceutical industry experience. The Application Process Once you have submitted your CV, you will receive an acknowledgement that we have received it. If you have the requirements we need, you will be invited for a phone interview as the first step. Unfortunately, due to the number of applications we receive, we cannot reply to everyone individually if you are not successful. Who will you be working for? About ClinChoice ClinChoice is a global full-service CRO specializing in clinical development and functional solutions for pharmaceutical, biotechnology, medical device, and consumer health companies. We have over 28 years of proven high-quality delivery and results across all our services, with over 4,000 professionals in more than 20 countries across the Americas, Europe, and Asia-Pacific. Our Company Ethos Our mission drives our culture: to contribute to a healthier and safer world by accelerating the development and commercialization of innovative drugs and devices. Our employees are the most valuable company asset, and they are the fulcrum around which all ClinChoice activities are built, and close management and training are the core instruments to develop and maintain highly-qualified personnel. The continuous training keeps the resources qualified in terms of competence and expertise and gives all personnel the clear tools needed to manage both internal and client processes with the same methodology. The success of these core values is evidenced by our low industry-average turnover rates. ClinChoice is an equal opportunity employer. We have based our success on attracting, developing, and promoting talent, guided by a commitment to diversity and inclusivity. Our employees come from very diverse backgrounds: gender, race, beliefs, and ethnicities. We recognize this is our strength and celebrate it. #LI-#TT1 #LI-Remote #Principal#Contract

About Us About the Role We are looking for a senior machine learning operations engineer who understands data pipelines, infrastructure, and model monitoring. In this role, you will work closely with our data science and data engineering teams to help us productionize and maintain advanced machine learning models. As the first machine learning operations engineer on our small data science team, your work will be critical to both the data team at The Athletic and the company as a whole. This role is 100% remote for candidates currently residing in either the United States or Canada. • Design, build, and maintain machine learning model productionization infrastructure. These models will drive very visible product features at The Athletic, and your infrastructure is key to their success., • Work with the rest of the data science team to streamline model training, validation, and deployment., • Implement robust monitoring and alerting for model performance, drift, and data quality, ensuring our models remain accurate in production., • Cultivate an outstanding data science environment by championing best practices in ML Ops and evaluating and integrating new technologies into our data science stack., • 4-6 years of experience as a data scientist, data engineer, or machine learning engineer with a proven ability to build machine learning model pipelines and infrastructure., • Strong working knowledge of Python and SQL to pull, transform, and otherwise deal with data in all of its forms., • Proven experience with ML frameworks (e.g., scikit-learn, PyTorch) and cloud platforms (e.g., GCP, AWS, Azure)., • Hands-on experience with Docker, Kubernetes, and Airflow., • Ability to drive projects with minimal guidance and prioritize high-impact work., • Strong verbal and written communication skills with ability to build cross-functional relationships., • Can explain sophisticated concepts to diverse audiences and craft compelling stories with data.The annual base salary range for this role is $140,000.00 - $150,000.00 USD. The total compensation offered for this position may vary based on factors such as education, experience, skills, and location. It may also include non-cash rewards and benefits. The base salary range is subject to change and may be modified in the future. The Athletic offers unique perks and benefits to all full-time employees based on their country of residence. Our comprehensive US benefits package includes: • Highly competitive, employer-contributed medical, dental, vision, basic life and disability insurance plans.- Savings accounts for medical, wellness, and childcare expenses.- 401k retirement savings plan and employer match.- Paid time off including paid sick leave, 12 paid holidays, 15 days of accrued vacation to start, and up to 20 weeks of Paid Parental Leave. For international candidates: Our global benefits packages offer similar benefits and perks, competitive to the local market. The Athletic Media Company is an equal opportunity employer and enthusiastically encourages people from all backgrounds and experiences to apply. The Athletic will consider all applicants without regard to race, religion, color, national origin, 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 protected characteristic under applicable law. Click here to review our _, which describes how and when The Athletic Media Company collects, uses, and shares certain personal information of job applicants and prospective employees. Beware of fraudulent job recruiting schemes! Our recruiters use exclusively, and our team members will use an email address with @ domain. We do not conduct interviews via text or instant message and we do not ask candidates to download software, to purchase equipment through us, or to provide sensitive personally identifiable information, such as bank accounts or social security numbers. If you have been contacted by someone claiming to be a member of the recruiting/HR team at The Athletic but operating from a different email address about a job offer, please report it as potential job fraud to the law enforcement and to _.

Figma is growing our team of passionate people on a mission to make design accessible to all. , Figma helps entire product teams , design and build better products — from start to finish. Whether it’s consolidating tools, simplifying workflows, or collaborating across teams and time zones, Figma makes the design process faster, more efficient, and fun while keeping everyone on the same page. From great products to long-lasting companies, we believe that nothing great is made alone—come _ with us! We are looking for an experienced Data Scientist to join our growing data team. At Figma, Data Scientists are deeply embedded within cross-functional teams across the company—from Product to Finance, Marketing, and Platform. We are hiring across a number of roles in these areas. This is ideal for someone excited to own high-impact data projects, partner strategically with stakeholders, and shape the future of our products and business. The ideal candidate will bring strong analytical and technical skills, business intuition, and a collaborative mindset to guide decision-making and unlock growth opportunities. You’ll work on problems ranging from understanding user behavior to optimizing revenue strategies, improving internal tooling, and influencing product direction through experimentation and data modeling. This is a full-time role that can be held from one of our US hubs or remotely in the United States. • Collaborate across teams to define and measure key metrics, design experiments, and uncover insights that inform strategic decisions, • Build models and analytical frameworks to support product, marketing, platform, or finance initiatives, • Develop tools, datasets, and systems that enable others to work with data more efficiently and rigorously, • Own complex data projects end-to-end—from problem scoping to solution delivery, • Champion data quality, accessibility, and the democratization of data across the organization, • Partner with Product, Engineering, Design, Research, Sales, Marketing, or Finance to drive impact, • 4+ years of experience in Analytics, Data Science, or a related field, • Fluency in SQL and proficiency in a scripting language like Python or R, • Experience with distributed data systems (e.g., Redshift, Snowflake, Presto, Hive, Spark), • Strong foundation in statistical methods, experimentation, and/or forecasting, • A track record of working cross-functionally and communicating effectively with both technical and non-technical partners, • Experience supporting one or more of the following: Product, Marketing, Finance, or internal Platform/Tooling teams, • A self-starter attitude and the ability to thrive in ambiguous and fast-paced environments 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 (SF/NY Hub): $136,000 - $338,000 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 _.

About the Principal Data Scientist at Headspace: We are looking for an innovative, strategic and impact- driven Principal Data Scientist to lead the evolution of data science across our care delivery and marketplace ecosystem. This role sits at the intersection of forecasting, experimentation, and workforce optimization strategy, enabling us to deliver high-quality, accessible mental healthcare at scale. You will be designing analytical frameworks, developing data science products, and uncovering insights that power Headspace’s mission to provide lifelong mental health support. You will play a critical role in shaping how Headspace forecasts demand and supply, optimizes marketplace performance, and measures clinical and coaching outcomes. Working closely with leaders across Product, Care, Operations, Finance, Engineering, and Marketing, you will design and deploy advanced analytical solutions that directly influence business strategy and member experience. This is a high-impact leadership role for a seasoned data scientist who combines deep technical expertise, strong business intuition, and a passion for improving mental health outcomes. What you will do: • Own and evolve end-to-end demand and supply forecasting at both macro and shift levels for care services (coaching, therapy, psychiatry), incorporating behavioral, operational, and external drivers., • Develop high-accuracy forecasting models to support new product launches and partnerships (e.g., large-scale enterprise or channel launches)., • Identify and translate drivers of demand variability into actionable operational levers that improve capacity planning and resource allocation., • Build forecasting and shift optimization systems that integrate multi-modal data sources (including B2B/enterprise signals) to ensure reliable predictions and scalable recommendations., • Enable marketplace leaders with data-driven insights to optimize access, capacity, and fulfillment performance., • Partner with cross-functional leaders to define and track key marketplace metrics, including access (e.g., time-to-appointment), utilization, and network health., • Define and standardize clinical and coaching outcome metrics (e.g., PHQ, GAD, PSS) and ensure they are reliably captured and reported., • Lead the development of end-to-end measurement frameworks for care journeys, ensuring high data quality and instrumentation completeness., • Apply causal inference and statistical modeling to evaluate engagement, and long-term member outcomes., • Partner with stakeholders to translate outcome insights into product, clinical, and operational improvements., • Build and scale data products, forecasting pipelines, and decision-support tools that enable self-service insights and automation., • Collaborate with Data Engineering and BI to define robust data models, metric definitions, and reporting layers., • Translate complex models into intuitive dashboards and tools for business and operational stakeholders., • Act as a thought leader in forecasting, experimentation, and decision science, raising the bar for analytical rigor across the organization and partner on the ROI dashboards., • Drive new uses of AI in analytics and forecasting., • Mentor and develop data scientists and analysts, strengthening capabilities in communication, stakeholder influence, and technical execution., • Communicate complex findings clearly to executive and non-technical audiences, driving alignment and action as member of the Care marketplace leadership team. What you will bring: Required Skills: • 8+ years of well-rounded analytics and data science experience, ideally with exposure to Digital Health, high-growth SaaS, and/or Mental Health industries in rapid growth environments., • 6+ years of experience successfully partnering directly with executive leadership and product leaders, showcasing the ability to align analytics, data science with strategic goals., • Proven experience building and deploying forecasting models, optimization solutions and decision frameworks in complex, real-world environments., • Strong expertise in statistical modeling, causal inference, and experimentation., • 6+ years of experience owning and managing data products while driving their strategic utilization to create business impact., • 4+ years of progressive experience in healthcare analytics (preferred)., • 7+ years of expertise in big data technologies (e.g., Redshift, S3, Databricks, Datalakes, Spark)., • Advanced skills in SQL and Python, with Looker, Tableau, Amplitude,Statsig for event-based deep dives and advanced analytics also preferred., • Bachelor's or master's degree in computer science, statistics, mathematics, or a related quantitative field. Location: We are currently hiring this role remotely unless SF based. Candidates must permanently reside in the US full-time. For candidates with a primary residence in the greater SF area, this role will follow our hybrid model. You’ll work 3 days per week from our office, allowing for impactful in-office collaboration and connection, while enjoying the flexibility of remote work for the rest of the week. Your recruiter will share more details about our hybrid model. Pay & Benefits: The anticipated new hire base salary range for this full-time position is $162,000-$258,750 + 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: https://www.headspace.com/applicant-notice

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.

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

Fusemachines is a leading AI strategy, talent, and education services provider. Founded by Sameer Maskey Ph.D., Adjunct Associate Professor at Columbia University, Fusemachines has a core mission of democratizing AI. With a presence in 4 countries (Nepal, the United States, Canada, and the Dominican Republic) and more than 450 full-time employees, Fusemachines seeks to bring its global expertise in AI to transform companies around the world. A Lead Data Scientist is responsible for designing and implementing data-driven solutions to complex business problems. The role requires extensive experience in data analysis, agentic AI, statistical modeling, machine learning, and data visualization, as well as the ability to lead a team of data scientists and collaborate with cross-functional teams. • Team Leadership: Lead a team of data scientists to develop innovative solutions to complex business problems. Mentor and develop the skills of junior data scientists and provide feedback and guidance to help them improve their work., • Collaboration: Collaborate with cross-functional teams, including business stakeholders, product managers, software engineers, and data engineers to develop and implement data-driven solutions., • Strategic Assessment: Assess the business needs of clients and identify areas where AI can be used to improve processes, reduce costs, or increase revenue., • Solution Design: Design and implement statistical models, machine learning algorithms, predictive analytics models, and agentic systems to solve business problems., • Communication: Communicate technical insights and recommendations to non-technical stakeholders in a clear and concise manner., • Continuous Learning: Stay up-to-date with the latest developments in data science, machine learning, and artificial intelligence, and apply new technologies and techniques to solve business problems., • Pipeline Management: Responsible for developing, implementing, and managing end-to-end machine learning pipelines. This will involve building, deploying, and maintaining machine learning models, as well as ensuring data quality and system stability., • Education: Bachelor's, Master's, PhD, or advanced training in applied mathematics, engineering, computer science, or a similar related field., • Experience: 6+ years of total experience in Data Science, Machine Learning & Generative AI., • Cloud Computing: 4+ years of hands-on experience with AWS, including deep expertise in deploying models and managing compute environments., • IBM WatsonX: 2+ years of hands-on experience with IBM WatsonX, • Agentic AI Tools: Experience with LangGraph, Google ADK or similar., • Agentic Architectures : Experience with advanced RAG & multi-agent systems., • Programming: Strong programming skills in languages such as Python, R, C++, and SQL., • Frameworks: Hands-on experience with ML frameworks, such as PyTorch or TensorFlow., • Leadership: Experience leading data science teams and managing multiple projects simultaneously.Soft Skills: Strong problem-solving skills, attention to detail, and excellent communication skills (both written and verbal).

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.

Facet is a fully remote financial technology company with a mission to empower people to live more enriched lives by delivering a new standard of financial advice that elevates expectations across consumers and the industry. We believe that objective, personalized financial advice that integrates into every facet of life is essential to living well. People’s financial lives are dynamic and ever-evolving, so we cover everything money touches–from starting a business to buying real estate to your investments and much more. Facet believes financial advice should be delivered with a fresh, human-plus-tech approach, that includes a CFP® professional–the highest certification possible. As a Lead Data Scientist at Facet, you will push the limits of our analytics and predictive capabilities through research, experimentation, and data modeling techniques. You will join the Data Science & Analytics team within Facet tasked with modeling, understanding, and automating various aspects of our growth, margin, and retention initiatives in addition to product features. You will work with your teammates and stakeholders on both displaying the truth of the past, while doing your best to predict the unknown. You should be comfortable with communication, visualization, automation, software engineering, and reproducibility. This role is intended to wear many hats, but with a skew towards advanced & predictive analytics. You will also be involved with some reporting, data modeling, and visualization requirements. The perfect candidate loves being both a great analyst and scientist, and hungers to improve at both. Day-To-Day Responsibilities: As a Lead Data Scientist with a focus on both reporting and predictive modeling, your day-to-day responsibilities will include a mix of tasks related to data analysis, visualization, and predictive model development. Your core duties will consist of: • Exposing Insights: As a Data Scientist, your goal is not to just display data, but turn it into information. You will produce analysis reports and diagnostic models to try and discover hidden relationships and patterns between our data and metrics of interest., • Evaluate & Produce Quality: Good code is reviewed code. You will be involved in ensuring your and your teammates’ code is free from errors, bias, and is easy to understand., • Data Engineering: We are a newer team at a growing company, and you’ll need to do a lot of your own data engineering. Gather, clean, and preprocess data from various sources, ensuring accuracy and consistency. Perform feature engineering to generate new variables or transform existing ones to improve the quality and usefulness of the dataset. Tie all these tasks together in a pipeline and deploy on cloud based infrastructure., • Predictive Modeling: Develop, validate, and deploy predictive models using machine learning algorithms and statistical techniques, such as regression, classification, clustering, time series forecasting, and optimization., • Generative Modeling: Use a combination of open source and paid technologies to produce abstractions & novel features for other applications., • Continuous Improvement: Data Science is a quickly moving field and you’ll need to keep up to date. You will need to keep abreast of the latest developments in data science, machine learning, and reporting technologies, while incorporating them into your work when appropriate. Participate in knowledge-sharing sessions to contribute to the growth and development of others. Basic Qualifications: • 6+ years of experience in a data science or machine learning role, • Experience with business efficiency metrics, such as: Customer Acquisition Cost (CAC), Revenue Acquisition Cost (RAC), Retention, Margin, Annual Recurring Revenue (ARR), Lifetime Value (LTV), and Engagement., • Experience with at least one dashboarding tool, such as: Tableau, Power BI, Looker, Google Data Studio, Streamlit, Dash, etc…, • Proficiency with Python, • Proficiency with SQL, • Knowledge of machine learning algorithms and statistical techniques for predictive modeling, such as: Regression, Classification, Clustering, Time Series Analysis, and Optimization, • Proficiency with end-to-end pipelines, • Expert knowledge in model evaluation metrics, • Experience pulling data from various third party systems and APIs, • Proficiency with version control, • Proven ability to work both independently and as part of a team, • Proficiency with visualization in python, • Familiar with best practices in secure data handling and customer data privacy Preferred Qualifications: • Prior experience in the financial planning industry, • Prior experience in the consumer technology industry, • Prior experience using containers to produce repeatable and shareable code, • Prior experience with Natural Language Processing, • Prior experience with cloud deployment, • Prior experience with Neural Networks and/or LLMs, • $170,000 - $200,000 base salary + bonus determined by the experience, knowledge, skills, and abilities of the applicant - Please note, our salary ranges are based on current market data. Should you feel strongly that we are not in line, we highly recommend you to reach out and let us know. We are always looking to improve on building the best place for employees., • Equity, • Flexible PTO, • All the benefits: medical, dental, and vision insurance, 401(k) with employer match, short and long term disability coverage (paid by Facet), life insurance options and paid parental leave, • Certification reimbursement program, • Work from anywhere in the US

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.

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit _. Location: US remote-friendly or any office location - SF, LA, CHI, NY The Data Science Team at Reddit is growing and we are looking for experienced Data Scientists to partner with our cross-functional partners (Product, Engineering, Designer, Marketing, Business Development etc.) to help us build and improve the systems that continuously drive our user and revenue growth. As a Senior Data Scientist on the team, you will have the opportunity to play a significant role in driving the success of key product areas at Reddit (Consumer, Ads, Safety etc.). You will lead and contribute to defining the product strategy through measurement and metrics design, experimentation and causal analyses, supporting product decisions via deep data analyses, and research. This person will be an industry technical leader with a solid technical background, strong business acumen, and excellent cross-functional stakeholders management skills. You will go through a general Data Scientists hiring process and get matched to the product area that best fits your background and interest. Responsibilities: • Develop action-oriented insights to drive the product strategy through observational causal analysis and experiment meta-analysis, and clearly communicate results to stakeholders up to the C-suite to take action based on the recommendations, • Uplevel experimentation practices on the team through guiding design, execution, and deep dive analyses to maximize learnings from A/B tests, • Create new ETLs, tables, dashboards, and other self-serve tools to enable other data scientists and cross-functional partners to find and interact with data seamlessly, • Design, evaluate, and/or measure team-level KPIs to enable quarterly goal setting and demonstrate team impact, • Regularly engage with stakeholders to gather feedback and share progress on work at all stages to ensure alignment between DS and other teams on business goals and outcomes, • Mentor more junior data scientists and business partners in data science best practices and methods to increase data literacy and improve decision making Required Qualifications: • Advanced degree (Masters or Ph.D.) in a quantitative field such as: Statistics, Mathematics, Physics, Economics, or Operations Research, • For M.S. holders: 5+ years of industry experience in applied science or data science roles, • For Ph.D. holders: 4+ years of industry experience in applied science or data science roles, • Expertise in querying relational databases (SQL) and programming languages (e.g., R / Python), • Deep understanding of online experimentation (A/B testing), causal inference, and statistical techniques, • Comfortable in innovative and fast-paced environments, and a bias toward action, • Strong technical communication / data storytelling skills and demonstrated ability to discuss complex topics with technical and non-technical audiences alike, • Able to tackle ambiguous and undefined problems by creating an action plan, getting feedback, and iterating Benefits: • Comprehensive Healthcare Benefits and Income Replacement Programs, • 401k with Employer Match, • Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support, • Family Planning Support, • Gender-Affirming Care, • Mental Health & Coaching Benefits, • Flexible Vacation & Paid Volunteer Time Off, • Generous Paid Parental Leave #LI-Remote #LI-NH1 Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit _. To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $190,800 - $267,100 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our _. Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

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. We are seeking a Data Scientist II with strong experience in computer vision and deep learning to join our document verification team. This role is intended for an experienced individual contributor who can work independently on production ML models, own well-scoped modeling initiatives, and contribute to technical decision-making—while partnering closely with senior data scientists and engineers. You will help build and improve ML systems that analyze identity and document images at scale and play an active role in evolving our modeling approaches and infrastructure. Develop, maintain, and improve machine learning models for document verification use cases such as document classification, image quality assessment, field extraction, and fraud detection. Independently implement and evaluate deep learning architectures, including CNNs and transformer-based vision or multimodal models.. Own well-defined components of end-to-end ML pipelines, including data preparation, model training, evaluation, and deployment to production. Perform in-depth error analysis, model diagnostics, and performance optimization, and propose data- or model-driven improvements. Contribute to technical design discussions, code reviews, and modeling best practices across the team. Write production-quality, maintainable code and contribute to shared ML tooling and infrastructure. Collaborate with engineering and product partners to ensure models meet product, performance, and reliability requirements. Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field, or equivalent experience, with 5 years or equivalent of professional experience in machine learning or data science. MS or Ph.D is a plus. Strong proficiency in Python and hands-on experience with ML frameworks such as PyTorch or TensorFlow. Solid experience applying deep learning models (especially CNNs) in real-world computer vision systems, with working knowledge of transformer-based approaches. Strong understanding of model evaluation, experimentation, and ML fundamentals, including overfitting, regularization, and transfer learning. Experience with version control (Git), experiment tracking, and reproducible ML workflows. Ability to communicate technical ideas clearly and work effectively in a cross-functional team. Please note, we are unable to provide employer support for H1, F1, or OPT visas 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! | | |

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

is the leading go-to-market solution for revenue teams, trusted by over 500,000 companies and millions of users globally, from rapidly growing startups to some of the world's largest enterprises. Founded in 2015, the company is one of the fastest growing companies in SaaS, raising approximately $250 million to date and valued at $1.6 billion. provides sales and marketing teams with easy access to verified contact data for over 210 million B2B contacts and 35 million companies worldwide, along with tools to engage and convert these contacts in one unified platform. By helping revenue professionals find the most accurate contact information and automating the outreach process, _ turns prospects into customers. Apollo raised a series D in 2023 and is backed by top-tier investors, including Sequoia Capital, Bain Capital Ventures, and more, and counts the former President and COO of Hubspot, JD Sherman, among its board members. Position Overview: We are seeking a highly analytical and impact-driven Senior Data Scientist to help shape our product strategy and decision-making through data. In this role, you will focus on optimizing existing products while also supporting early-stage product initiatives where relevant. You will work closely with cross-functional teams to drive product innovation and optimization through data-driven insights. This position requires a passion for transforming data into actionable insights and the ability to thrive in a fast-paced environment. What You’ll Do: • Translate business needs into data analysis and actionable insights to optimize product performance and user experience for both existing and new products., • Work closely with product managers, engineers, and other cross-functional stakeholders to identify critical product questions and provide data-driven solutions., • Develop and maintain a scalable, reliable, and accurate analytics infrastructure to support product decisions., • Establish and maintain best practices for data collection, analysis, and reporting., • Deliver actionable insights and recommendations focused on landing tangible product impact., • Help foster a culture of data-driven decision-making and continuous improvement within the product teams., • Ensure the integrity and accuracy of the data used for analysis and reporting., • While the primary focus is on existing products, support 0 to 1 product launches by identifying key metrics and analyzing early-stage product data when applicable. What You Bring: • Strong experience in product analytics or a similar data-focused role, with a proven ability to impact product strategy and decision-making through data., • Expertise in translating complex data into insights that are actionable for cross-functional teams., • Proficiency with data analytics tools and platforms (e.g., Looker, Amplitude) is a plus but not required. A focus on solving product challenges is more important than specific tool experience., • Experience in building and maintaining reliable analytics infrastructures., • Excellent communication skills, with the ability to clearly present data insights to both technical and non-technical stakeholders., • Experience with 0 to 1 product initiatives is a plus, though not required., • A high level of accountability, a passion for continuous learning, and the ability to thrive in a fast-paced, dynamic environment. Qualifications: • Degree in Analytics, Applied Mathematics, Economics, Statistics, or related analytical field of study, or an equivalent combination of training and experience., • Deep experience in working with exploratory analysis projects related to cohorting, time series analysis, and funnel analysis/optimization is required., • Expert-level proficiency in influencing product strategy with SQL, A/B testing, machine learning, statistical analysis, and related tools like R, Python, SAS, etc., is required., • Previous or current experience supporting SaaS (Product-Led Growth) companies with uncovering gaps and recalibrating activation metrics (e.g., aha/habit moments) is a huge plus., • Experience with Product Analytics tools to track end-to-end journeys/funnels (e.g., Amplitude, Heap, Mixpanel) and analyzing events within those products is essential., • Proven ability to thrive in a fast-paced, dynamic startup environment with a high level of adaptability and a strong product sense, ensuring insights align with customer needs and product goals. The listed Pay Range reflects the total cash compensation inclusive of annual base salary and annual bonus as applicable. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonus target and annual base salary for the role. This salary range may be inclusive of several career levels at Apollo and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and location. Applicants interested in this role who are not located in the US may request the annual salary range for their location during the interview process. Additional benefits for this role may include: equity; company bonus or sales commissions/bonuses; 401(k) plan; at least 10 paid holidays per year, flex PTO, and parental leave; employee assistance program and wellbeing benefits; global travel coverage; life/AD&D/STD/LTD insurance; FSA/HSA and medical, dental, and vision benefits. Tier 1 Pay Range (San Francisco, New York City, Seattle) $160,000 - $200,000 USD Tier 2 Pay Range (All other US Locations) $140,000 - $176,000 USD Apollo.io is an AI-native company built on a culture of continuous improvement. We’re on the front lines of driving productivity for our customers—and we expect the same mindset from our team. If you're energized by finding smarter, faster ways to get things done using AI and automation, you'll thrive here. At Apollo, we’re driven by a shared mission: to help our customers unlock their full revenue potential. That’s why we take extreme ownership of our work, move with focus and urgency, and learn voraciously to stay ahead. We invest deeply in your growth, ensuring you have the resources, support, and autonomy to own your role and make a real impact. Collaboration is at our core—we’re all for one, meaning you’ll have a team across departments ready to help you succeed. We encourage bold ideas and courageous action, giving you the freedom to experiment, take smart risks, and drive big wins. If you’re looking for a place where your work matters, where you can push boundaries, and where your career can thrive—Apollo is the place for you. Learn more _

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.

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.

Candidate Responsibilities As a Lead Data Scientist/Analyst, you will use analytics and visualization methods to solve problems for Client internal customers. You will engage in projects of high complexity with direct business impact. Typical Day Position will be remote until Client reopens. This role is primarily focused on driving Client Dealer and Enterprise data quality improvements. In this role you will directly engage in performing data analysis and reporting on data quality, while at the same time providing technical leadership to a medium size team of data analysts/scientists. This role will contribute to the definition and implementation of quality metrics, identification of data quality rules and evaluation of their impact, and root cause analysis of data quality problems. Top candidates will have prior experience in a business intelligence role and technical leadership, be proficient in SQL and Python, have experience with dashboard design, AWS and Snowflake. • Design, develop, and maintain Dealer and Enterprise quality dashboards and reports • Lead high profile complex projects spanning across multiple data sets and systems • Use analytics methods to make recommendations to Designers, Product Owners and Managers • Apply knowledge and skills to solve the most complex analytics and quality problems • Work on multiple projects concurrently Education Requirements: • Bachelor’s degree in a quantitative discipline such as data science, data analytics, computer science, engineering, statistics, mathematics, finance or other related degree required • MS degree in a quantitative discipline such as data science, data analytics, computer science, engineering, statistics, mathematics, finance or other related degree preferred Technical Skills • 7+ years of experience in data analytics/data science position • 3+ years of experience with Python and SQL • 1+ years of experience with designing & developing dashboards in Tableau, MS Power BI, Kibana or similar software TOP CANDIDATES WILL ALSO HAVE: • Proven experience with Snowflake • Experience with AWS (SageMaker, Athena, S3, RDS, DynamoDB) • Proficiency with gathering information systematically, visualizing data and developing reproducible reports • Thorough knowledge of statistical concepts (distributions, hypothesis testing, confidence intervals) and experience applying to real-world applications Soft Skills • Exceptional verbal and written communication skills and ability to engage effectively at all levels of the organization, to both technical and non-technical audiences. • Excellent organizational skills and an aptitude for complex analytical and detailed work; ability to prioritize among multiple concurrent projects in order to meet deadlines in a timely manner • Ability to consider a broad range of issues or factors, grasp complexities and perceive relationships among problems or issues, and use accurate logic in analysis • Ability to work both independently or collaboratively in a complex, rapidly changing, and culturally diverse environment.

Spotify’s mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the opportunity to enjoy and be inspired by these creators. Everything we do is driven by our love for music, podcasting and audiobooks. Today, we are the world’s most popular audio streaming subscription service with a community of more than 678 million users. We are looking for an extraordinary Data Scientist to join the band and build core analytics to support our Music Partnerships teams, meaning the teams at Spotify who interface with artists, artist managers, songwriters, record labels and music publishers. • Perform analyses on large sets of data to extract actionable insights that will drive decisions, with a particular focus on artist and release performances, • Engineer novel data sets, features and reports that shed a new light on the dynamics of music listening, • Communicate data-driven insights and recommendations to non-technical audiences, through clear visualizations and data storytelling, • Craft high impact presentations for senior management on the Music Partnerships teams, • Evaluate Spotify’s value exchange with music partners and build compelling data visualization tools to move it forward, • Model statistical predictions to surface growing artists, genres and music trends, so as to inform resource allocation in and around Spotify’s Music organization, • You have a degree in a quantitative field, such as Computer Science/Engineering, Mathematics, Statistics, Economics; advanced degree is desirable, • 2+ years of relevant experience analyzing complex data with SQL, Python, and/or R, • You are passionate about music and popular culture in general. Previous experience in music is a preference. Other media, entertainment, or technology experience is also highly valued, • You are a natural communicator. You focus just as much on how you deliver your findings, as you do on the technical craft of uncovering new insights., • Experience building data visualizations and dashboards (e.g., Tableau or similar BI solution), • Modeling and statistical knowledge, such as forecasting, AB-testing, or feature engineering for machine learning is a plus, • A curiosity for, and investigative approach towards the ways in which AI reshapes data science and analysis is also valued., • Experience creating and scheduling datasets is highly valued. Knowledge of Google’s BigQuery, or DBT is a plus, • This role is based in New York, NY, • We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home. We ask that you come in 3 times per week.The United States base range for this position is $89,093-$127,262, plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, paid sick leave. These ranges may be modified in the future.

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

About Binance.US: Binance.US is America’s home to buy, trade, and earn digital assets. As a licensed and regulated U.S. crypto platform, we provide secure, reliable access to more than 190 of the world’s most popular cryptocurrencies, all with some of the lowest fees in the industry. We’re a remote-first team of innovators building the bridge between traditional finance and Web3, helping bring financial freedom within reach for all. To learn more, visit . All roles supporting are employed via BAM Management US Holdings Inc. or BAM Management Canada Holdings Inc. About This Role: As a Senior Product Data Scientist at, you will sit at the intersection of product strategy, experimentation, and data science. Your mission is to drive measurable improvements in user growth, engagement, retention, and revenue through rigorous analysis, experimentation, and data-informed product decisions. You will partner closely with Product Managers, Engineers, Designers, and Business leaders to understand user behavior across the full lifecycle, design and evaluate experiments, and translate insights into product changes that materially move core metrics such as conversion, ARPU, retention, and stickiness. This is a hands-on role for a data scientist who has repeatedly used A/B testing and product analytics to drive real business outcomes, not just analysis or reporting. Core Responsibilities: Own and drive end-to-end product analytics for key consumer-facing products and initiatives Conduct deep-dive analysis on user behavior, funnels, cohorts, and journeys to identify opportunities for growth, monetization, and improved user experience Design, execute, and analyze A/B and multivariate experiments to evaluate product, UX, pricing, and growth initiatives Partner with Product Managers to define clear hypotheses, success metrics, and guardrails for experiments and product launches Translate complex analytical findings into clear, actionable recommendations for technical and non-technical stakeholders Develop and maintain key product KPIs, dashboards, and monitoring metrics to track product performance and experiment results Ensure accurate event tracking and data instrumentation for new and existing product features Leverage AI-assisted tools and ML techniques (e.g., segmentation, propensity scoring) to take on more advanced analysis to support product decisions Support ad-hoc data requests from cross-functional teams across the company Support strategic deep dives that influence roadmap prioritization and business strategy Preferred Skills/Experience: 4+ years of experience in Data Science, Product Analytics, or a closely related role in a consumer-facing tech company Proven, hands-on experience designing and analyzing A/B tests that led to measurable improvements in metrics like revenue, ARPU, retention, etc. Strong understanding of experimental design, statistics, and causal inference, including common pitfalls and trade-offs in real-world experimentation Deep experience analyzing user funnels, cohorts, lifecycle metrics, and customer journeys Fluency in SQL and proficiency in Python or R Experience building compelling dashboards and data visualizations to communicate insights (experience with Tableau is a plus) Comfortable leveraging AI tools to extend analytical capabilities and independently tackle more complex analyses Strong business acumen with the ability to connect data insights to product strategy and commercial outcomes Excellent communication skills, with the ability to influence product decisions through data Experience working in a fast-paced, high-growth startup environment Ability to manage multiple initiatives simultaneously while maintaining analytical rigor and execution quality Prior experience in fintech, crypto, or marketplace products is a plus, but not required The starting pay range for this role is between CAD$150,000 - CAD$175,000 per year for all Canadian remote locations and between USD$170,000 - USD$195,000 per year for all U.S. remote locations. The actual base pay will vary, and is dependent upon many factors, such as transferable skill sets, work experience, business needs, and market demands. The base pay range is subject to change. Our Mission: At _, our mission is to create a more inclusive financial system through Web3 technologies. As a U.S. regulated crypto platform, we’re committed to earning trust through compliance and empowering people to do more with their money, bringing financial freedom within reach for all. Our Values: Our values shape how we work, make decisions, and support our users every day: Act with Integrity: We do what’s right, even when no one is watching. Be Collaborative: We work together with respect and transparency to achieve shared goals. Customers First: We listen to, advocate for, and prioritize our users in every decision we make. Do the Work: We take ownership, follow through, and deliver results that move the mission forward. Embrace Change: We stay adaptable and curious, thriving in a fast moving industry. Our Benefits: We believe in supporting our people with flexibility, balance, and opportunities to grow. One of the ways we demonstrate this commitment is through our benefit offerings. Time & Family: Unlimited PTO (for salaried FTE roles); 12 weeks fully paid Parental Bonding Leave. Well-Being: Mental wellness benefits; free 1:1 virtual visits with a licensed mental wellness professional; comprehensive competitive health benefits. Remote-First Culture: Fully remote, cameras-on culture with work-from-home equipment reimbursements available to new hires. Professional & Financial Growth: Annual professional development budget; free 1:1 virtual visits with a career coach; 401k plan with employer match. BAM Management US Holdings Inc. and BAM Management Canada Holdings Inc. are Equal Opportunity Employers and comply with all applicable federal, state, and local fair employment practice laws. Our mission is to give our customers access to a broad array of digital assets, and we thrive because of the diverse and inclusive team that we are building. We do not discriminate against qualified employees, applicants, or any other covered persons because of race, color, religion, creed, gender identity, sex, sexual preference, sexual identity, pregnancy, national origin, ancestry, citizenship, age, veteran status, physical disability, mental disability, medical condition, military status, or any other applicable legally protected characteristic. Depending on your location, data privacy laws may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available _. By submitting your application, you are agreeing to our use and processing of your data as required. We comply with Federal Transparency in Coverage regulations by providing a link to machine readable files related to the health plans offered to our employees. The machine-readable files are formatted to allow researchers, regulators, and application developers to more easily access and analyze data including negotiated service rates, and out-of-network allowed amounts between health plans and healthcare providers.

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

Omada Health is on a mission to inspire and engage people in lifelong health, one step at a time. Job overview: Omada Health is looking for a Staff Forecast Data Scientist to lead the technical development and automation of our enrollment forecasting capability. This role will build and scale forecasting models for our existing book of business, helping transform a historically manual, assumption-heavy process into a robust, production-oriented forecasting engine that improves forecast quality, consistency, and speed. Working closely with Commercial Operations, Finance, Data Engineering, and Applied Statistics, this person will design, deploy, and monitor forecasting solutions that support critical planning and decision-making across the business. The ideal candidate combines strong technical depth in time-series and predictive modeling with the ability to operate in ambiguous business contexts, translate commercial questions into scalable analytical solutions, and provide technical leadership in how forecasting is built at Omada. Your Impact: • Design, build, and automate Omada’s core enrollment forecasting engine for the existing book of business, significantly reducing manual effort and increasing forecast reliability and reproducibility., • Translate commercial planning questions into scalable forecasting solutions, partnering closely with Commercial Operations, Sales, Marketing, and Finance to ensure the models reflect real-world dynamics and are usable in day-to-day decision making., • Establish and own best practices for model development, backtesting, performance monitoring, and alerting for enrollment forecasts, helping Omada move from one-off analyses to a robust, production-grade forecasting capability., • Improve forecast accuracy and responsiveness over time by continuously experimenting with new data sources, features, and modeling techniques, and systematically incorporating learnings from forecast performance., • Act as the primary technical leader for forecasting within the Data organization, providing guidance on tooling, coding standards, and architecture, and mentoring other data scientists who contribute to forecasting projects., • Free Commercial Operations leadership to focus on product-line strategy and new go-to-market motions by taking ownership of the technical implementation of base forecasting, while collaborating closely on the assumption framework and narrative. About you: • 8+ years of experience in data science or applied statistics roles, with at least 3 years focused on forecasting, time series modeling, or revenue/enrollment prediction in a SaaS, healthcare, or similar recurring-revenue business., • Deep hands-on proficiency in Python (e.g., pandas, numpy, scikit-learn, statsmodels, Prophet or similar libraries) and SQL, with a track record of taking models from discovery through deployment and ongoing monitoring., • Strong grounding in statistical and machine learning methods for forecasting (e.g. hierarchical or panel forecasting, gradient boosting, generalized linear models), and a practical sense for when simple models outperform complex ones., • Experience designing and maintaining production data science systems in partnership with data engineering and platform teams, including versioning, backtesting, performance monitoring, and alerting., • Comfort working with messy, real-world commercial data (CRM, marketing, product/event, and financial data) and building robust pipelines and features that can support recurring forecast runs., • Demonstrated ability to translate ambiguous business questions into well-scoped technical problems, communicate tradeoffs clearly to non-technical stakeholders, and incorporate feedback into model and metric design., • Proven experience influencing cross-functional partners (e.g., Commercial Operations, Sales, Marketing, Finance) using data-driven insights, including framing uncertainty, risk, and scenario ranges in an executive-friendly way., • High degree of ownership and bias toward action: willing to dive into data, prototypes, and code while also stepping back to design scalable systems and long-term improvements to forecasting capabilities., • Comfortable working in a fast‑changing environment where GTM motions, products, and partner needs evolve quickly, and where you help drive clarity through structure, process, and analytics. Bonus Points for: • Experience implementing or upgrading forecasting tools, analytical workflows, or data models in a high‑growth, evolving, or public‑company environment., • Background in healthcare, digital health, health plans/PBMs, or other complex, regulated industries with multi‑stakeholder sales cycles., • Prior work supporting capacity planning or operational forecasting alongside care delivery, supply chain, or customer support teams., • Familiarity with Salesforce data models and RevOps processes (pipeline management, incentive compensation, territory / quota design)., • Passion for leveraging data, analytics, and emerging technologies (e.g., advanced BI, AI‑driven forecasting) to improve healthcare and outcomes for people living with chronic conditions. Benefits: • Competitive salary with generous annual cash bonus, • Equity grants, • Remote first work from home culture, • Flexible Time Off to help you rest, recharge, and connect with loved ones, • Generous parental leave, • Health, dental, and vision insurance (and above market employer contributions), • 401k retirement savings plan, • Lifestyle Spending Account (LSA), • Mental Health Support Solutions, • ...and more! It takes a village to change health care. As we build together toward our mission, we strive to embody the following values in our day-to-day work. We hope these hold meaning for you as well as you consider Omada! • Cultivate Trust. We listen closely and we operate with kindness. We provide respectful and candid feedback to each other., • Seek Context. We ask to understand and we build connections. We do our research up front to move faster down the road., • Act Boldly. We innovate daily to solve problems, improve processes, and find new opportunities for our members and customers., • Deliver Results. We reward impact above output. We set a high bar, we’re not afraid to fail, and we take pride in our work., • Succeed Together. We prioritize Omada’s progress above team or individual. We have fun as we get stuff done, and we celebrate together., • Remember Why We’re Here. We push through the challenges of changing health care because we know the destination is worth it. About Omada Health: Omada Health (Nasdaq: OMDA) is reverse engineering the way healthcare is delivered in America, putting the space between doctor visits–where health is won or lost–at the center of care. Today's healthcare system poorly serves chronic conditions that require ongoing support outside of the exam room, like obesity, diabetes, hypertension, cholesterol, and musculoskeletal conditions. Omada’s virtual-first model combines human-led care teams, connected devices, and AI-enabled technology to deliver personalized care at scale, including support for GLP-1 therapy. Omada has served more than two million members since launch across 2,000+ employers, health plans, pharmacy benefit managers, and health systems. Learn more at omadahealth.com. Omada is thrilled to share that we’ve been certified as a Great Place to Work! Please _ for more information. We carefully hire the best talent we can find, which means actively seeking diversity of beliefs, backgrounds, education, and ways of thinking. We strive to build an inclusive culture where differences are celebrated and leveraged to inform better design and business decisions. Omada is proud to be an equal opportunity workplace and affirmative action employer. We are committed to equal opportunity regardless of race, color, religion, sex, gender identity, national origin, ancestry, citizenship, age, physical or mental disability, legally protected medical condition, family care status, military or veteran status, marital status, domestic partner status, sexual orientation, or any other basis protected by local, state, or federal laws. Below is a summary of salary ranges for this role in the following geographies: California, New York State and Washington State Base Compensation Ranges: $202,400 - $253,000, Colorado Base Compensation Ranges: $193,600 - $242,000. Other states may vary. This role is also eligible for participation in annual cash bonus and equity grants. *The actual offer, including the compensation package, is determined based on multiple factors, such as the candidate's skills and experience, and other business considerations. Please _for more information on our Candidate Privacy Notice.

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 a highly experienced Senior Data Scientist with deep expertise in demand forecasting and time-series modeling. The ideal candidate will have strong applied experience building, deploying, and scaling forecasting solutions in production environments, particularly within CPG, FMCG, retail, or similar industries. Key Responsibilities • Design, develop, and deploy time-series forecasting models including ARIMA, SARIMA, and ETS, • Build machine-learning-based forecasting models using GBM, Random Forest, XGBoost, and LightGBM, • Develop hierarchical and multi-level forecasting solutions across products, regions, and channels, • Perform large-scale data extraction, transformation, and analysis using SQL, • Implement and operationalize models in cloud environments (Azure preferred), • Collaborate with business stakeholders to translate demand planning requirements into scalable analytics solutions, • 10+ years of experience in applied data science or advanced analytics, • 5+ years of hands-on experience in demand planning, demand forecasting, or sales forecasting, • Strong domain experience in CPG, FMCG, retail, or similar industries, • Advanced proficiency in Python (pandas, NumPy, scikit-learn, statsmodels), • Strong SQL skills for large-scale data processing, • Proven experience deploying models in cloud environments (Azure preferred) 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.

Scribd, Inc. is on a mission to advance human understanding. Our four products — Scribd®, Slideshare®, Everand™, and Fable — help billions of people across the globe move beyond access and into insight, application, and expertise. We support a culture where our employees can be real and be bold; where we debate and commit as we embrace plot twists; and where every employee is empowered to take action as we prioritize the customer. We believe the best work happens when individual flexibility is balanced with meaningful community connection. Scribd Flex empowers employees to choose the workstyle and location that support their best performance, while committing to intentional in-person moments that strengthen collaboration and culture. Occasional in-person attendance is required for all Scribd, Inc. employees, regardless of location. So what are we looking for in new team members? At Scribd, Inc., we hire for “GRIT.” Traditionally defined as the intersection of passion and perseverance toward long-term goals, GRIT reflects the mindset we expect from every employee. For us, it also serves as a practical framework for how we work: setting and achieving Goals, delivering Results within your role, contributing Innovative ideas and solutions, and strengthening the broader Team through collaboration and attitude. This posting reflects an approved, open position within the organization. About the team The Applied Research team is a group of data scientists and content specialists who are experts in leveraging machine learning, natural language processing and generative AI models to develop solutions which deliver value to our users and business. We act as a key driver for innovation, whether it’s in product surface experimentation, metadata generation or model development. Along with Product and Engineering partners, we design solutions and collaborate in cross-functional squads to maximize business impact. Our areas of impact include content enrichment, representation learning, recommendations, search, translation and many others, applied to diverse media across text, image, and audio. We operate at a scale of hundreds of millions of documents, millions of users and billions of user interactions. Role Overview We are seeking a Data Scientist II with experience developing and deploying machine learning models. You will help design and implement high impact AI and ML systems. We work in cross-functional teams collaborating with Machine Learning Engineers, Data Engineers and Product. We are seeking a curious and collaborative individual with an eye for simplicity, end-end visibility and impact and that is excited about building models using massive amounts of data, using language models and deploying models. Responsibilities Focus on a variety of content classification use cases, leveraging everything from traditional NLP to sophisticated LLMs and generative models Investigate methods of solving our most challenging problems at Scribd, at scale Collaborate with other Data Scientists, Machine Learning Engineers and ML Data Engineers on cross-functional projects Leverage any algorithm at your disposal: from classical Scikit-learn and NumPy models to custom Neural Networks in PyTorch to third party LLM APIs Process massive amounts of data with Python, SQL and Spark Align with stakeholders through written and verbal communications methods on the approaches and results of projects, while writing detailed, accurate and concise project documentation Requirements 3+ years of post qualification experience developing machine learning models, working with systems at scale and deploying to production environments. Proficiency in Python. Hands-on experience building ML pipelines and working with distributed data processing frameworks like Apache Spark, Databricks, or similar. Intermediate level in at least three of these fields: classification algorithms, natural language processing, search, information retrieval, named entity recognition, deep learning, generative models. Intermediate level or greater experience with SQL or PySpark. Bachelors or Masters in relevant quantitative discipline including but not limited to Statistics, Computer Science, Data Science, Artificial Intelligence or another field with a strong quantitative focus. At Scribd, your base pay is one part of your total compensation package and is determined within a range. Our pay ranges are based on the local cost of labor benchmarks for each specific role, level, and geographic location. San Francisco is our highest geographic market in the United States. In the state of California, the reasonably expected salary range is between $118,000 [minimum salary in our lowest geographic market within California] to $184,000 [maximum salary in our highest geographic market within California]. In the United States, outside of California, the reasonably expected salary range is between $97,000 [minimum salary in our lowest US geographic market outside of California] to $175,000 [maximum salary in our highest US geographic market outside of California]. In Canada, the reasonably expected salary range is between $123,000 CAD[minimum salary in our lowest geographic market] to $164,000 CAD[maximum salary in our highest geographic market]. We carefully consider a wide range of factors when determining compensation, including but not limited to experience; job-related skill sets; relevant education or training; and other business and organizational needs. The salary range listed is for the level at which this job has been scoped. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for a competitive equity ownership, and a comprehensive and generous benefits package. Are you currently based in a location where Scribd, Inc. can employ you? Employees must have their primary residence in or near one of the following cities. This includes surrounding metro areas or locations within a typical commuting distance: United States: Atlanta | Austin | Boston | Dallas | Denver | Chicago | Houston | Jacksonville | Los Angeles | Miami | New York City | Phoenix | Portland | Sacramento | Salt Lake City | San Diego | San Francisco | Seattle | Washington D.C. Canada: Ottawa | Toronto | Vancouver Mexico: Mexico City Benefits at Scribd, Inc. Scribd Flex (flexible work model) Comprehensive health, dental, and vision coverage Mental health support and disability coverage Generous paid time off, including vacation, sick time, holidays, winter break, volunteer time, and sabbaticals Paid parental leave and family support benefits Retirement matching and employee equity Learning and development programs and professional growth opportunities Wellness and home office stipends Complimentary access to the Scribd, Inc. suite of products Enterprise access to leading AI tools Get to Know Scribd, Inc. _ _ We want our interview process to be accessible to everyone. You can inform us of any reasonable adjustments we can make to better accommodate your needs by emailing accommodations@scribd.com about the need for adjustments at any point in the interview process. Scribd, Inc. is committed to equal employment opportunity regardless of race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law. We encourage people of all backgrounds to apply, and believe that a diversity of perspectives and experiences create a foundation for the best ideas. Come join us in building something meaningful.

At NerdWallet, we’re on a mission to bring clarity to all of life’s financial decisions and every great mission needs a team of exceptional Nerds. We’ve built an inclusive, flexible, and candid culture where you’re empowered to grow, take smart risks, and be unapologetically yourself (cape optional). Whether remote or in-office, we support how you thrive best. We invest in your well-being, development, and ability to make an impact because when one Nerd levels up, we all do. Staff Data Scientist leads machine learning and decisioning systems powering personalization, lifetime value (LTV) prediction, and real-time commercial optimization across our marketplaces. This role is responsible for designing and scaling causal measurement and personalization systems that determine how we serve users while balancing customer value, partner economics, and long-term trust. As a senior individual contributor, you will drive high-impact modeling initiatives and shape the technical direction of data science across the organization. You are a technical expert and strategic partner who operates with significant autonomy and influence. As a Staff Data Scientist, you set the standard for scientific rigor, mentor senior ICs, and guide cross-functional teams without formal authority. You partner closely with Product, Engineering, Marketing, and Finance to align data science investments with business strategy, while shaping long-term vision for AI-driven personalization and marketplace optimization. This role reports to the VP, Data & Analytics. Lead the design and implementation of causal inference frameworks (e.g., uplift modeling, DML, IVs, DiD, synthetic control) to measure true incremental impact across personalization, marketing, and lifecycle interventions Establish and standardize methodologies for incrementality, experimentation, and measurement across channels and product surfaces Build and scale LTV models (user-level and cohort-based), including churn-adjusted and horizon-specific approaches, for real-time decisioning Develop and deploy personalization models that influence ranking, offer selection, content sequencing, and monetization strategies at the moment of user intent Ship production-grade machine learning models that directly drive revenue outcomes, including marketplace optimization, partner routing, and budget allocation Translate predictive outputs (e.g., conversion propensity, incremental CPA, expected LTV) into decision-ready signals for real-time systems Partner with Data Engineering and Platform teams to define data instrumentation, feature stores (batch and streaming), and model monitoring frameworks (drift, bias, stability) Influence architectural decisions across modern data and ML platforms (e.g., Snowflake, Databricks, Spark, real-time inference systems) Provide technical leadership across teams by setting best practices for experimentation, modeling, code quality, and reproducibility Mentor and develop senior and mid-level data scientists, raising the overall technical bar across the organization Communicate complex analytical insights and trade-offs to executive stakeholders, translating findings into actionable business strategies Shape long-term strategy for personalization, experimentation, and AI-driven growth at NerdWallet 8+ years of experience in applied machine learning, causal inference, experimentation, or related quantitative fields Deep expertise in causal inference methodologies (e.g., uplift modeling, doubly robust learners, instrumental variables, difference-in-differences, synthetic control, Bayesian time series) Proven experience building and operationalizing LTV models for real-time or near-real-time applications Strong software engineering and production ML experience, including Python (pandas, numpy, scikit-learn, LightGBM/XGBoost) and PySpark, Advanced SQL Experience with distributed systems and modern data platforms (e.g., Snowflake, Databricks, Spark, AWS/GCP/Azure), Version control and ML lifecycle tools (e.g., Git, MLflow) Hands-on experience with experimentation frameworks, A/B testing, and statistical diagnostics (e.g., power analysis, bias detection) Demonstrated success deploying models that materially impact revenue, efficiency, or user experience Exceptional communication skills with the ability to influence Product, Marketing, Finance, and executive stakeholders Strong strategic thinking and ability to operate in ambiguous, high-impact problem spaces Preferred Qualifications: Experience with marketplace optimization, ranking systems, or auction-based environments Familiarity with contextual bandits, reinforcement learning, or sequential decision-making systems Knowledge of streaming data architectures (e.g., Kafka, Kinesis), orchestration tools (e.g., Airflow, DBT), and feature stores (e.g., Tecton, Feast) Domain experience in fintech, marketplaces, growth, or performance marketing This role will be remote (based in the U.S.). We believe great work can be done anywhere. No matter where you are based, NerdWallet offers benefits and perks to support the physical, financial, and emotional well being of you and your family. Work Hard, Stay Balanced (Life’s a series of balancing acts, eh?) Industry-leading medical, dental, and vision health care plans for employees and their dependents Rejuvenation Policy – Flexible Vacation Time Off + 11 holidays + holiday company shutdown New Parent Leave for employees with a newborn child or a child placed with them for adoption or foster care Mental health support Paid sabbatical after 5 years for Nerds to recharge, gain knowledge, and pursue their interests Health and Dependent Care FSA and HSA Plan with monthly NerdWallet contribution Monthly Wellness Stipend, Cell Phone Stipend, and Wifi Stipend (Only remote Nerds are eligible for the Wifi Stipend) Work from home equipment stipend and co-working space subsidy (Only remote Nerds are eligible for these stipends) Have Some Fun! (Nerds are fun, too) Nerd-led group initiatives – Employee Resource Groups for Parents, Diversity, and Inclusion, Women, LGBTQIA, and other communities Hackathons and team events across all teams and departments Company-wide events like NerdLove (employee appreciation) and our annual Charity Auction Our Nerds love to make an impact by paying it forward – Take 8 hours of volunteer time off per quarter and donate to your favorite causes with a company match Plan for your future (And when you retire on your island, remember the little people) 401K with 4% company match Be the first to test and benefit from our new financial products and tools Financial wellness, guidance, and unlimited access to a Certified Financial Planner (CFP) through Northstar Disability and Life Insurance with employer-paid premiums If you are based in California, we encourage you to read this important information for California residents linked_. NerdWallet is committed to pursuing and hiring a diverse workforce and is proud to be an equal opportunity employer. We prohibit discrimination and harassment on the basis of any characteristic protected by applicable federal, state, or local law, so all qualified applicants will receive consideration for employment. NerdWallet will consider qualified applicants with a criminal history pursuant to the California Fair Chance Act and the San Francisco Fair Chance Act, which requires this, as well as the Los Angeles Fair Chance Act, which requires this. NerdWallet participates in the Department of Homeland Security U.S. Citizenship and Immigration Services E-Verify program for all US locations. For more information, please see: E-Verify Participation Poster_) Right to Work Poster / #LI-Remote

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit _. Reddit is continuing to grow our teams with the best talent. This role is_ within the United States. If you happen to live close to one of our physical office locations (San Francisco, Los Angeles, New York City & Chicago) our doors are open for you to come into the office as often as you'd like. Reddit is poised to innovate and grow like never before, and user safety is a critical accelerant of that growth. The Safety org is Reddit’s central Trust & Safety organization whose mission is to protect good users from bad experiences by stopping harmful content and behaviors across the site. We are looking for a Staff Data Scientist to join our Safety Insights Data Science team. In this role, you will partner closely with Safety Product, Engineering, and Machine Learning teams along with fellow Safety data scientists, to shape strategy, product development, define and evolve safety metrics, and drive analytics for some of the most important decisions in the Safety org. You will lead efforts to shape the measurement strategy for user safety, establish frameworks to quantify and monitor safety experiences, and evaluate the impact of interventions designed to protect Reddit’s communities. You will identify and prioritize opportunities for innovation, using rigorous analyses to size the potential impact of new initiatives and help the organization focus on the highest ROI areas to improve the safety experience at scale. Your work will guide decision-making and shape the strategic direction of Reddit’s safety efforts, ensuring that user safety remains a cornerstone of Reddit’s growth. The Safety org is one of Reddit’s largest divisions. Safety Insights works horizontally across it to provide scientific insight for product development, scaled abuse detection and mitigation, threat intelligence, and safety operations. We think big to innovate, unravel hard problems that cut across safety domains, and guide product development to protect our users from bad experiences while supporting Reddit’s long-term health and growth. Reddit has a remote-friendly work environment. If you live near one of our physical offices, our doors are open for you to come in as often as you’d like. Don’t live near an office? You can apply to work remotely from anywhere in the United States. Responsibilities: • Lead the measurement strategy for user safety by defining metrics, frameworks, and dashboards that quantify and monitor safety experiences across Reddit., • Use data and science-backed methods to inform the strategic direction of Safety product development and to rigorously assess the impact of product launches and policy or enforcement changes., • Design and execute experiments and quasi-experimental / inferential causal analyses (e.g., difference-in-differences, synthetic controls, matching) to estimate the impact and ROI of safety initiatives, and use these results for opportunity sizing and prioritization., • Own the design, development, and maintenance of scalable models and prototypes leveraging statistical, machine learning, or GenAI methodologies to improve Reddit safety., • Tactically support product development and go-to-market, from problem framing and exploratory analysis through to experimentation, launch evaluation, and post-launch monitoring., • Stay current on advances in ML, LLMs, and related methods, and evaluate where they can meaningfully improve abuse detection, risk identification, and enforcement workflows., • Translate complex analyses into clear narratives and recommendations for stakeholders, acting as a data storyteller who can influence decisions at all levels of the Safety and Moderation orgs., • Mentor and up-level junior Data Scientists and Analysts in technical approaches for detecting and mitigating abuse, fostering a culture of rigor and curiosity. Required Qualifications: • Relevant experiences in Data Science, Applied Science, or Economist roles, preferably for safety, enforcement engineering, fraud etc., • Ph.D. or M.S. degree in Statistics, Economics, Computer Science, Applied Mathematics or other quantitative fields (If M.S., a minimum of 8+ years of industry data science experience required; If PhD degree, a minimum of 4+ years of industry data science experience required), • Fluent with statistical analysis, programming languages (e.g., Python) and SQL., • Comfortable in innovative and fast-paced environments, and an innate ability to bias toward action, • Strong technical communication and demonstrated ability to discuss complex topics with technical and non-technical audiences alike, • Able to tackle ambiguously defined problems and deconstruct them into precisely scopable components that can be meaningfully addressed with data Benefits: • Comprehensive Healthcare Benefits and Income Replacement Programs, • 401k with Employer Match, • Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support, • Family Planning Support, • Gender-Affirming Care, • Mental Health & Coaching Benefits, • Flexible Vacation & Paid Volunteer Time Off, • Generous Paid Parental Leave #LI-SP1 Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit _. To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $217,000 - $303,900 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our _. Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

We’re a startup with big ambitions: to make estate planning modern, visual, and intelligent. _ is the first AI-powered estate advisory platform, built by advisors, planners, and attorneys to transform how wealth is transferred across generations. Our technology unifies scenario modeling, client visualization, and document creation into one seamless, digital experience. Our team brings together diverse subject matter expertise across estate planning, wealth management, and scaling SaaS startups. We’re distributed across the U.S., with a mix of fully remote and hybrid roles, and we embrace flexibility while staying closely connected. At Vanilla, you’ll join curious builders and problem-solvers who thrive on speed, autonomy, and impact. Here, you won’t just join a company, you’ll help create it. If you’re excited to tackle hard problems, move quickly, and see your work shape both an industry and a growing startup, we’d love to meet you. Job Summary Vanilla is seeking a Senior Software Engineer - AI Applications with a strong background in software development, data science, machine learning, and artificial intelligence. You will be utilizing existing Large Language Models to build applied AI applications focused on producing high accuracy rates. Your software engineering skills will come into play here as you’ll take ownership in constructing services to ingest structured results. If you’re a proactive problem-solver who lives to disrupt archaic processes with cutting-edge technology, this is the job for you. As a Senior Software Engineer, you will work collaboratively with engineering and subject matter experts to find innovative and disruptive uses of AI to streamline (or replace) workflows. Responsibilities Machine learning and AI: You are passionate and knowledgeable about the current and future state of AI. You will be utilizing existing Large Language Models to build applied AI applications focused on producing high accuracy rates. Your software engineer skills will come into play here as you'll take ownership in constructing services to ingest results. You will work with product, and engineering teams and build models/services that can ingest data, extract key information and surface insights. You can drive technical vision and leverage open source technologies and cloud services to build an AI/ML platform. You can build tooling to support model training, evaluation, inference serving, monitoring and alerting. You want to use the latest ML frameworks and open source tools to develop new model training pipelines. Hands On Coding: You have direct experience with software engineering and are familiar with modern languages like Python, Javascript, Go, Rust You have experience building microservices and understand the tradeoffs of the approach. Data handling: You can identify, extract, transform, and load data from disparate sources into a centralized system. You are able to normalize, cleanse, and validate this data. Database management: You are able to design and implement schemas, optimize queries, and manage database performance. Project management: You must be an effective self-organizer: prioritize tasks, manage resources, and communicate effectively with non-technical stakeholders. Collaboration: We are one team. You must be able to collaborate with engineers, subject matter experts, product managers, and designers to ensure the success of projects. Qualifications Bachelor's degree in Computer Science, Engineering, a related field, or equivalent practical experience. 6+ years relevant work experience. Proficiency in, at least, one modern programming language such as Python or Javascript. Experience building commercial SaaS solutions. Experience integrating with backend services, and APIs. Experience with OpenAI, Anthropic, or similar for both chat and API interfaces. Deep understanding of machine learning and AI technologies, including the ability to design, train, and implement machine learning models and use natural language processing techniques for automation. Experience with tuning AI performance and scalability of AI infrastructure. Preferred experience with AI observability, monitoring, and signaling with tools such as LangChain or LangGraph. Experienced with LLM orchestration tooling and decision frameworks. Experience or exposure building agentic capabilities and workflows. Experience or exposure to evaluation testing frameworks. Exceptional candidates will have direct experience with RAG for tuning LLMs. Experience with API design and accessing data from external sources. Ability to effectively articulate technical challenges and solutions. Deal well with ambiguous/undefined problems; ability to think abstractly. Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations. Candidates must be legally authorized to work in the United States without the need for sponsorship now or in the future. Vanilla is unable to provide visa sponsorship at this time. You Might Be a Great Fit If: You have hands-on experience with AI and Large Language Models (LLMs). You’ve worked with OpenAI, GPT models, or other similar technologies and have integrated them into real-world applications. You are a critically thinking software engineer. You have built and maintained scalable microservices and understand the tradeoffs of this architecture. You can build AI-powered applications with high accuracy. You understand the challenges of AI implementation and know how to optimize models, fine-tune them, and create efficient pipelines for training, evaluation, and deployment. You are a problem-solver and innovator. You love tackling undefined, ambiguous problems and applying AI to disrupt outdated processes. You’re excited about revolutionizing estate planning with cutting-edge technology. You May Not Be a Great Fit If: You are primarily a data scientist or ML researcher, rather than a software engineer. While AI and machine learning are key components of this role, we need a strong application developer first. You should be comfortable building production-ready software, integrating AI models into applications, designing APIs, and working with databases. If your experience is mostly in research, data modeling, or experimentation without deploying AI-driven applications, this may not be the right fit. You prefer working in highly structured, slow-moving environments. At Vanilla, we move fast and iterate quickly. The salary range for this role is $160,000 to $190,000. Our compensation packages also include a performance based bonus and equity. Compensation is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Flexible paid time off policy and 10 company-wide paid holidays Parental leave, 4 weeks for all full-time employees and up to 12 weeks for birthing parents Medical, dental, and vision benefits coverage for employees and their families 401K eligibility after one month of employment Free estate planning documents Budget for learning & development and home office setup Paid parking or transit for hybrid and in office employees Vanilla Technologies Inc. (dba "Vanilla") 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. Vanilla participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.

About Binance.US: Binance.US is America’s home to buy, trade, and earn digital assets. As a licensed and regulated U.S. crypto platform, we provide secure, reliable access to more than 190 of the world’s most popular cryptocurrencies, all with some of the lowest fees in the industry. We’re a remote-first team of innovators building the bridge between traditional finance and Web3, helping bring financial freedom within reach for all. To learn more, visit . All roles supporting are employed via BAM Management US Holdings Inc. or BAM Management Canada Holdings Inc. About This Role: _, one of the most recognized brands in cryptocurrency, is looking for a Senior Growth Data Scientist to join our Data organization as a dedicated partner to the Marketing team. You'll sit within Data — with the rigor, tooling, and standards that come with it — while working day-to-day alongside performance, lifecycle, brand, and growth teams to shape and measure marketing strategy. This is a high-ownership individual-contributor role for someone who wants to build the analytical foundation a fast-growing marketing org needs, and to influence where and how we invest. As the function matures, there's a clear path for this role to grow a team underneath it. Core Responsibilities: Serve as the embedded data science partner to Marketing, bringing rigorous, data-driven decision-making to a team that today lacks dedicated analytical support. Stand up and own the marketing measurement foundation — event tracking architecture, unified attribution windows, and KPI frameworks across mobile (MMP) and web (GA) — so channels can be compared apples-to-apples. Build and maintain the core models that drive spend decisions: LTV, ROAS, CAC/payback, and retention; translate them into channel strategy and budget allocation recommendations. Design, run, and read out experiments and A/B tests across acquisition and the customer lifecycle, and set the experimentation standard for the marketing org. Analyze the full funnel (acquisition → activation → engagement → retention → monetization), surface the highest-impact growth opportunities, and size them. Build forecasting and opportunity-sizing models to inform planning and resource allocation. Develop self-serve dashboards and recurring reporting that give Marketing and leadership clear visibility into performance. Partner with Data Engineering and MMP/ad-platform teams to ensure data quality and measurement accuracy, and prioritize fixes. Translate analysis into clear, persuasive recommendations, and influence marketing investment decisions with stakeholders up to leadership. Preferred Skills/Experience: 5 years in marketing/growth analytics or data science, ideally at a consumer-facing tech, fintech, or startup, with a track record of driving measurable growth. Advanced SQL and comfort working with large-scale data in modern warehouse environments. Proficiency in Python or R for analysis and modeling. Strong grounding in marketing attribution, experimentation and statistics, funnel analysis, retention, ARPU, and LTV. Hands-on experience with mobile measurement platforms (AppsFlyer preferred): SDK/event setup and attribution modeling. Proficiency with BI/visualization tools (Tableau, Looker, or similar). Excellent communication and the ability to influence non-technical stakeholders — especially important since Marketing will look to this person for direction. A self-starter comfortable building from scratch in an ambiguous, fast-moving environment. Nice to have Crypto, fintech, or financial services experience. ML applied to marketing (propensity, churn, LTV prediction, audience segmentation). Experience building audience segments and activating warehouse data into ad platforms. Bachelor's in a quantitative field; Master's a plus. The starting pay range for this role is between CAD$150,000 - CAD$175,000 per year for all Canadian remote locations and between USD$170,000 - USD$195,00 per year for all U.S. remote locations. The actual base pay will vary, and is dependent upon many factors, such as transferable skill sets, work experience, business needs, and market demands. The base pay range is subject to change. Our Mission: At _, our mission is to create a more inclusive financial system through Web3 technologies. As a U.S. regulated crypto platform, we’re committed to earning trust through compliance and empowering people to do more with their money, bringing financial freedom within reach for all. Our Values: Our values shape how we work, make decisions, and support our users every day: Act with Integrity: We do what’s right, even when no one is watching. Be Collaborative: We work together with respect and transparency to achieve shared goals. Customers First: We listen to, advocate for, and prioritize our users in every decision we make. Do the Work: We take ownership, follow through, and deliver results that move the mission forward. Embrace Change: We stay adaptable and curious, thriving in a fast moving industry. Our Benefits: We believe in supporting our people with flexibility, balance, and opportunities to grow. One of the ways we demonstrate this commitment is through our benefit offerings. Time & Family: Unlimited PTO (for salaried FTE roles); 12 weeks fully paid Parental Bonding Leave. Well-Being: Mental wellness benefits; free 1:1 virtual visits with a licensed mental wellness professional; comprehensive competitive health benefits. Remote-First Culture: Fully remote, cameras-on culture with work-from-home equipment reimbursements available to new hires. Professional & Financial Growth: Annual professional development budget; free 1:1 virtual visits with a career coach; 401k plan with employer match. BAM Management US Holdings Inc. and BAM Management Canada Holdings Inc. are Equal Opportunity Employers and comply with all applicable federal, state, and local fair employment practice laws. Our mission is to give our customers access to a broad array of digital assets, and we thrive because of the diverse and inclusive team that we are building. We do not discriminate against qualified employees, applicants, or any other covered persons because of race, color, religion, creed, gender identity, sex, sexual preference, sexual identity, pregnancy, national origin, ancestry, citizenship, age, veteran status, physical disability, mental disability, medical condition, military status, or any other applicable legally protected characteristic. Depending on your location, data privacy laws may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available _. By submitting your application, you are agreeing to our use and processing of your data as required. We comply with Federal Transparency in Coverage regulations by providing a link to machine readable files related to the health plans offered to our employees. The machine-readable files are formatted to allow researchers, regulators, and application developers to more easily access and analyze data including negotiated service rates, and out-of-network allowed amounts between health plans and healthcare providers.

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.

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.

We are looking for senior leaders in data science roles who have experience within technology companies or tech-adjacent environments, value learning, growth, and community and who are passionate about developing and coaching people in their field. As a Mento coach, you will form 1:1 partnerships with our members to help them identify & track clear goals, become a better leader, communicate more effectively, problem-solve issues at work, and help them feel happy, fulfilled, and engaged at work and beyond. All Mento coaches, regardless of coaching experience, are required to participate in our ICF-certified coach training program to learn Mento’s coaching methodology prior to working with our members. Our coach training is an immersive, transformational training designed to help you grow as a coach, master the Mento Coaching Methodology, and gain access to proprietary tools that set our coaches apart. This program is ICF-certified, and participants who successfully graduate will earn Continuing Coach Education Units. If you’re ready to elevate your coaching skills, deepen your impact, and become part of a groundbreaking coaching team, we encourage you to apply and take the next step in your journey! Your routine responsibilities will include: Providing 1:1 coaching to Mento members through virtual sessions using the Mento Platform and Tools Participating in ongoing training sessions to improve coaching abilities and skills Communicating with members via your Mento email or via chat in the Mento App in between sessions Being an integral member of the Mento coaching community by sharing coaching tools and insights — helping enhance our coaching practices and fulfill our mission of empowering people to thrive in jobs that they love Acting with kindness, respect, and empathy as an ambassador of the Mento community You are… A director, vice president, or other senior data science leader with 20+ years of experience managing data science teams and coaching individuals (coaching certification is a plus but not required). Someone who wants to turn their people leadership skills into meaningful coaching skills. Passionate about helping people advance in the workplace to build fulfilling careers and lives. A person who is self aware, who has a high emotional IQ, and who cares about creating a safe space for others to risk being vulnerable. Excited about growing your coaching skills, and you bring a growth-mindset to the experience, regardless of how long you have been a coach. Comfortable working in a constantly-changing startup environment. Able to dedicate a minimum of 12+ hours per month to coaching at Mento for the next 24+ months. At Mento, we invite new coaches to join us on a rolling basis. The time frame on which we add new coaches is based on the particular needs of our clients and their teams. While we may not need to add a Data Scientist Coach today, we would still be very excited for you to get in touch with us now if this opportunity resonates with you. This is a contract position in which coaches are paid per hour. On top of a flat hourly rate, we offer select bonuses that incentivizes engagement with our membership and community growth on our platform You must have the capacity to give a minimum of three to five hours per week towards Mento regardless of other commitments and how they may change. You are able to work with Mento for a minimum of 24 months in order to build meaningful relationships with our members. This is a fully remote position. Candidates must be based in North America or Europe. Because this is a part-time growth opportunity, we are looking to hire experienced senior leaders who want to expand their coaching skills. Our Hiring Philosophy: All new Mento coaches are required to participate and graduate from our ICF certified coach training program: Mento Coaching 101. This training is rigorous, and our goal is that all participants are able to be matched with members soon after they complete it. We want to make sure that we are both setting our coaches up for success and respecting everyone’s time. Therefore, we hire based on incoming member demand. While we are constantly looking and interviewing for the best coaches to join our team, we will only send offers to candidates for whom we have an immediate need. Candidates who receive a YES from Mento after the interview process will either be sent an offer to join the next monthly Coaching 101 training or be added to our coach shortlist to join us when the demand is there. Inclusion Statement: We are proud to foster a workplace free from discrimination. Research shows that candidates from unrepresented backgrounds may not apply to jobs unless they meet 100% of the job requirements. We strongly believe that diversity of experience, perspectives, and background will lead to a better environment for our employees and a better product for our users. We encourage you to apply even if you do not meet all the requirements.

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.

At Bluesight, our mission is to create groundbreaking solutions that increase efficiency, safety and visibility for health systems, hospital pharmacy, and pharmaceutical manufacturers. We empower our customers to deliver the right medicine to the right patient at the right time, every time. We are a high growth healthcare information technology company with a start-up 'vibe' but over 3,000 customers using our proven solutions. Bluesight is looking for a Data Scientist II to join our central data team and help us drive the success of data science and analytics efforts across the organization. This role will work closely with external and internal stakeholders to deliver value through all stages of the RnD life cycle: identifying opportunities, building core infrastructure, running predictive models, analyzing impact, and highlighting improvement areas. This person will partner with cross-functional peers to strengthen Bluesight’s data culture and help us innovate within our suite of Medication Intelligence products. • Develop and productionize machine learning models for a range of healthcare products, including monitoring controlled substance handling and patient privacy, and inventory management, • Define and track KPIs to measure model performance and business impact, • Collaborate with product teams and customers to scope analytics projects and build prototypes. Translate ambiguous business problems into well defined, quantitative, and testable hypotheses., • Communicate technical findings to both technical and non-technical stakeholders, including customers. Present results and recommendations in customer-facing meetings., • Inform product roadmaps, evaluate technical feasibility, and assess project risks., • Quickly ramp up on new healthcare data sources as products evolve and adapt to new ML techniques and tools as needed for product requirements, • Raise the skill level of the entire analytics team by modeling strong research communication through team presentations and documentation. Drive collaboration through code reviews, experimental design feedback, and participation in model evaluation discussions., • Degree or equivalent years of experience in data science, statistics, computer science, or similar quantitative field, • Ability to develop and productionize code in Python to serve API endpoints (e.g. Flask, FastAPI), • A willingness to leverage genAI tools to assist with rapid experimentation, • Understanding of statistical models including distributions and transformations. Ability to create and evaluate supervised and unsupervised machine learning models (tree-based models, clustering) in a practical/applied context, • Hands-on experience with AWS cloud services including SageMaker, Athena, RDS, Glue, ECR, IAM, and CodeBuild, • Strong knowledge of Git workflows and version control best practices, • Understanding of SQL, • Prior track record of a customer-friendly approach in presenting information and analysis for non-technical audiences, • Excellent verbal and written communication skills with an ability to advocate technical solutions to engineering teams as well as business stakeholders, • Master’s degree or PhD in math and/or statistics centric field of study, • Experience on a data team of a similar size (<5), • Experience working with protected healthcare data (e.g. ADM, EHR) and pharmaceutical supply chain logistics (e.g. invoicing, cost optimization), • Experience with infrastructure as code using Terraform to manage cloud resources, • Experience with MLOps including deployment using MLFlow and containerization with Docker, CI/CD Pipelines, and monitoring $130,000 - $150,000 a yearThe standard base pay range for this role is $130,000 - $150,000 when annualized. In addition to a competitive base salary this position is also eligible for an amazing benefits package. Actual amounts and salary will vary depending on position offered, experience, performance, and location.This position is a remote position and open to applicants in the continental United States. Why Bluesight?Bluesight’s culture is built on innovation and teamwork. There’s room to grow and opportunities to take initiative. You will partner with sharp, motivated teammates looking to disrupt a massive industry—and have fun doing it. We truly believe that where you work and what you do matters. Join us as we revolutionize the hospital pharmacy landscape!-Competitive salary-Time off when you need it – unlimited vacation days!-Generous insurance coverage-401k program with a company match-Fun, collaborative culture! EOE AA M/F/VET/Disability All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, religion, color, national origin, sex, protected veteran status, disability, or any other basis protected by federal, state or local laws.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. 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.

Artificial Intelligence. Actual Impact. At Docebo, we’re using AI to change how people learn at work—and we mean actually change it. We’re an AI-powered learning platform that helps organizations create, deliver, and manage training all in one place. But our real mission goes deeper: we help teams move faster, work smarter, and focus on the work that truly matters. Our platform is built with intelligent, time-saving tools that personalize learning, eliminate busywork, and turn training from a checkbox into a superpower. The result? Better experiences for learners and real results for businesses. We’re shaping the future of learning with a team that isn’t afraid to challenge the status quo. If you're excited by the idea of using AI to make work-life better for real people–you’ll feel right at home here. And it’s not just what we build, it’s how we show up. At Docebo, our values aren’t just posters on the wall—they guide how we work every day. We call it the Docebo Heart: trust by default, assume positive intent, and create space for different perspectives to thrive. So… what are you waiting for? Join 900+ Docebians around the world and help us reinvent the way people learn, because learning never stops. Docebo NA Inc., seeks a Senior Data Scientist (SEO & AI) in Athens, GA, to drive end-to-end SEO strategy, covering technical, on-page, content, and conversion optimization. This is a remote opportunity open to candidates available to work in EST or CST timezones. Master's degree in Data Science, Computer Science, Business Analytics, or a related field (or foreign equivalent) 7+ years of experience driving SEO analytics and applying search-focused data science using platforms such as GA4, GSC, and Looker Studio to deliver performance insights and guide content strategy 5+ years of experience in technical SEO, including: schema optimization, site audit, and performance enhancement through structured data and crawl diagnostics 3+ years of experience managing and analyzing large-scale datasets (10M+ rows / 100GB+), including: Internal data sources (registrations, call transcripts, chat logs) External data sources (search trends, reviews, forums) Identification of actionable search and content insights 3+ years of experience utilizing Python, SQL, and NLP to develop AI-driven forecasting, ranking, and content optimization models supporting organic search strategies The position requires domestic travel to Georgia twice a year. Our Total Rewards Philosophy centers around three core areas to reward and care for our People: Rewarding Impact: We lead with competitive pay to reward the impact, skills and traits that fuel our success. Fostering Holistic Wellbeing: We care deeply about and invest in the whole person with programs that support our people’s physical, mental, and financial well-being. Empowering Our Talent Culture: We build a culture of trust and empowerment by designing our rewards and benefits with transparency, equity, and flexibility, enabling our people to do their best work and stay for the long haul. Financial Wellness: Own a piece of Docebo through our Employee Share Purchase Plan (ESPP) at a 15% discount, plus a competitive compensation package. Your Well-Being, Covered: You’ll get access to health benefits, so you can get the care you need when you need it. Rest, Relax, Repeat: Rest and recharge with paid vacation days, two company-wide Docebo Days, floating holidays for cultural celebrations, and your birthday off! Family First: We provide coverage offering you time with your little one(s) so you can soak up all those precious moments. Fun fact: we had 30 Docebian babies join the family in 2025! Connections That Count: Connect with global communities through our Employee Resource Groups (including PRIDE, DWA, BIDOC, and Green Ambassadors) and company-wide events that keep the fun rolling all year long. At Docebo, we create seamless, AI-powered learning experiences for over 3,000 customers worldwide. We have successfully achieved two IPOs (_), been recognized as a top SaaS e-learning solution, and are growing exponentially in the process. We're a global company, with office across North America, EMEA, APAC, and beyond. Our team is guided by six core values—Innovation, Simplicity, Accountability, Togetherness, Curiosity, and Impact—that shape everything we do. If this resonates with you, now is the perfect time to join one of the fastest-growing learning technology companies in the world. Docebo is an _. We are committed to diversity and inclusion in our workforce. All qualified applicants and employees will receive consideration for employment regardless of their race, colour, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, citizenship status, age, disability, genetic information, or any other category protected under applicable law. As a federal contractor, Docebo is committed to the principles of affirmative action and equal employment opportunity for protected veterans and individuals with disabilities. Docebo does not discriminate because of protected veteran status or on the basis of disability, and Docebo takes affirmative action to employ and advance in employment qualified protected veterans and individuals with disabilities. Any individuals requiring a reasonable accommodation or would like to voluntarily disclose a disability or protected veteran status to assist with their employment application should send an e-mail to recruiting_accommodations@docebo.com. The email should also include the position you’re interested in.

We're transforming the grocery industry At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers. Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table. Instacart is a Flex First team There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. _ Instacart’s Shopping Experience team is focused on making it effortless for people to discover, plan, and shop the food that fuels their lives. We’re building intuitive, trustworthy experiences that help customers find inspiration, make healthier choices, and get from idea to checkout with confidence. We’re looking for a Senior Product Manager to lead our Health product area. In this role, you will shape the vision, strategy, and roadmap for how Instacart helps customers discover and shop food that honors dietary needs and helps them achieve their health goals. You’ll partner closely with design, research, engineering, data science, and go-to-market teams to translate deep user empathy into delightful, impactful products. This is a highly visible, zero-to-one opportunity—ideal for someone who thrives in ambiguity, rolls up their sleeves to execute, and loves building startup-style products within the scale of Instacart. You’ll join a focused pod within Shopping Experience with 6 engineers, 1 data scientist, 1 designer, and 1 user researcher, and collaborate across a broader group of product managers in the organization. The features you ship will be used by millions of customers every week, giving you the chance to drive meaningful outcomes at scale. We’re a remote-friendly, fast-moving team that values clear communication, ownership, and collaborative problem solving to serve customers better every day. • Own the end-to-end product strategy and roadmap for Health within Shopping Experience, driving zero-to-one bets from discovery through scaled launch and iteration., • Partner with design and research to deeply understand customer needs across inspiration, dietary filters, and health-forward discovery; translate insights into simple, elegant product experiences., • Define success metrics and run a rigorous experimentation program (A/B tests, multivariate tests) to improve core outcomes such as engagement, conversion, and retention., • Work cross-functionally with engineering, data science, operations, partnerships, legal, and privacy to deliver responsibly built features at scale, balancing speed with quality and compliance considerations., • Build alignment across diverse stakeholders, communicate tradeoffs and decisions with clarity, and ruthlessly prioritize to maximize customer and business impact in a fast-paced environment. You combine customer obsession with data-driven decision making, communicate crisply across functions, and are energized by turning ambiguity into clear, measurable outcomes. • 6+ years of product management experience building consumer products, including ownership of end-to-end user experiences from discovery through launch and iteration., • Proven track record shipping zero-to-one products with measurable impact (for example: improved conversion, retention, or engagement) and scaling them to broad adoption., • Hands-on experience collaborating with product design and user research to convert insights into clear PRDs, prototypes, and shipped features., • Data fluency with experimentation and analytics (for example: defining success metrics, partnering on A/B tests, interpreting results; SQL proficiency or equivalent analytics tooling experience)., • Experience operating in highly cross-functional environments, influencing without authority, and aligning multiple stakeholder groups to a clear roadmap., • Bachelor’s degree in a relevant field (such as Computer Science, Engineering, Design, Business, or a related discipline) or equivalent practical experience., • Experience in health, nutrition, wellness, or other regulated consumer product spaces., • Background in e-commerce, marketplaces, personalization/recommendation systems, search, or content experiences., • Startup or “startup within a startup” experience leading products from zero-to-one in high-ambiguity, fast-moving environments., • Familiarity with third-party integrations relevant to health (for example: recipes, nutrition data, or health data platforms)., • Exceptional storytelling and communication skills, including the ability to drive alignment across executive and cross-functional audiences. #LI-Remote Instacart provides highly market-competitive compensation and benefits in each location where our employees work. This role is remote and the base pay range for a successful candidate is dependent on their permanent work location. Please review our Flex First remote work policy _. Offers may vary based on many factors, such as candidate experience and skills required for the role. Additionally, this role is eligible for a new hire equity grant as well as annual refresh grants. Please read more about our benefits offerings _. For US based candidates, the base pay ranges for a successful candidate are listed below. CA, NY, CT, NJ $221,000 - $233,000 USD WA $212,000 - $223,500 USD OR, DE, ME, MA, MD, NH, RI, VT, DC, PA, VA, CO, TX, IL, HI $203,000 - $214,000 USD All other states $184,000 - $194,000 USD

Reddit is a community of communities. It’s built on shared interests, passion, and trust and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 101M+ daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit _. Location: US remote-friendly or any office location - SF, LA, CHI, NY Reddit is poised to rapidly innovate and grow like no other time in its history. This is a unique opportunity to leave your mark on one of the most influential and trafficked corners of the internet. Consumer data science plays a key role in fulfilling Reddit’s mission of bringing community & belonging to the world through deep understanding of how we can better connect people to the best information and communities for them - the heart of Reddit’s product - from crypto to support groups, gaming to AMAs, travel tips to memes. As a Staff Data Scientist on the team, you will play an influential role in guiding product strategy through proactively identifying opportunities, conducting exploratory analyses and sharing insights, and driving learning through experimentation. Responsibilities: • Help build the long term product strategy by identifying opportunities to attract new users, increase engagement, and drive retention, • Influence strategic roadmaps through data-driven insights into user behaviors and needs, • Design metrics that help evaluate the health of the business and the success of our products, including any ETL development needed for consistent and robust analysis, • Drive experimentation from design through execution and analysis to maximize learnings and guide future investment decisions, • Build self-serve tools for product and engineering partners that answer common questions and/or increase data literacy in the organization, • Work cross functionally with product, engineering, and design teams to ensure insights make it to the product, • Scale your work to other parts of the data organization through mentoring more junior data scientists, improving processes, and providing perspective on the most important problems Required Qualifications: • Ph.D., M.S. or Bachelors degree in Statistics, Machine Learning, Economics, Computer Science, or other quantitative fields (If M.S. or Bachelors degree, a minimum of 6+ years of industry data science experience required; If PhD degree, a minimum of 4+ years of industry data science experience required), • Expert knowledge of SQL and relational databases, • Familiarity with statistical analysis and the preferred programming languages of the team (R / Python), • Demonstrated ability to influence and guide product strategy with data, • Demonstrated ability to take ambiguous problems and solve them in a structured, hypothesis-driven, data-supported way, • Familiarity with causal inference techniques and causal models, • Excellent communication and experience working with senior leaders / stakeholders, • Entrepreneurial, self-directed, and enthusiastic about solving problems, • Demonstrated ability to mentor other data scientists and share best practices to elevate the data science practice at Reddit, • Conform in innovative and fast-paced environments, and have a bias toward action., • Can discuss complex topics with technical and non-technical audiences Benefits: • Comprehensive Healthcare Benefits and Income Replacement Programs, • 401k Match, • Family Planning Support, • Gender-Affirming Care, • Mental Health & Coaching Benefits, • Flexible Vacation & Reddit Global Days off, • Generous paid Parental Leave, • Paid Volunteer time off #LI-Remote Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit _. To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base pay range for this position is:$217,000—$303,900 USD Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please contact us at _.

We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work on a scale across all devices and digital mediums, and our people exist everywhere in the world (17000 plus experts across 39 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That is where you come in! Role: Data Scientist Location: Remote, USA Duration: Fulltime Employee Job Overview: • Manufacturing 8–10 years in manufacturing (optional) with hands-on experience in shop floor operations, production planning, and systems including MES, SCADA, and ERP., • Proficient in industrial protocols (OPC-UA, MQTT, Modbus) with ability to bridge OT/IT systems for real-time data extraction., • Applied experience with OEE, Six Sigma, SPC, and lean methodologies to drive measurable gains in yield, uptime, and efficiency., • Data Engineering Skilled in building scalable cloud data pipelines for high-volume manufacturing and IoT data using Spark, Kafka, Airflow, and Delta Lake. Proficient in scikit-learn, TensorFlow, or PyTorch with experience moving models from prototype to production in industrial environments., • Strong communicator — able to translate complex model outputs into clear, actionable recommendations for operations and executive stakeholders., • Solid grounding in statistical methods — time series, regression, clustering, and hypothesis testing applied to manufacturing quality problems., • Experience designing A/B experiments and simulations to validate process changes and quantify business impact before full deployment. Must Have: • Minimum 6 years of experience as Data Scientist., • Strong SQL and Python proficiency with hands-on experience in medallion/lakehouse architectures on Databricks, Snowflake, AWS, or Azure., • Data Science Proven track record building and deploying ML models for predictive maintenance, anomaly detection, demand forecasting, and root cause analysis. Disclaimer: Nagarro is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will be afforded equal employment opportunities without discrimination based on race, creed, color, national origin, sex, age, disability, or marital status.

We’re building Reflow, a workforce and workflow intelligence platform that helps teams understand and improve how work gets done. We’re a U.S.-based tech company with a high bar for talent, ownership, and execution, and we’re intentional about building a strong, globally distributed team from the start. Problem: Our Head of Engineering is most focused on building and is looking for ongoing guidance on structuring and scaling their engineering team. We are looking for a fractional advisor for approximately 10-15 hours a week. Specifically, you'll: Co-own the interview process for our key engineering hires, including: DevOps Engineer (priority) Data Scientist (priority) Windows & Mac engineers Full-stack web engineers Design the technical portion of the interview process yourself, and either run the interviews or bring in trusted specialists to help us assess skills Advise our Head of Engineering on org design and team scaling strategies Beyond hiring, serve as a technical sounding board for our Head of Engineering ‍ You MUST have: Been a CTO for other early and growth-stage VC-backed tech startups Scaled engineering teams from roughly zero to 50+ engineers within the last few years A technical skillset that can confidently evaluate candidates across a range of roles from AI, DevOps, Data Science, Full-Stack, etc. Built engineering teams with a technically complex product Based in the USA only We offer competitive pay based on the market and where you’re located. The salary ranges in our job postings are intentionally wide because they need to cover both U.S. and international candidates. Our final offer will depend on things like your experience, skill set, and location.

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.

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. We are seeking a skilled and motivated Staff Data Scientist to join our Fraud & Risk Data Science team. As an advanced-level individual contributor, you will design, build, and optimize advanced DS/ML models that power our core fraud detection and risk management solutions. You will lead technical initiatives, mentor peers, and drive functional productivity and project success. You will work hands-on with advanced deep learning models, driving delivery of impactful solutions for fraud detection, risk management, and identity verification. This role requires deep technical expertise, strategic ownership, and a commitment to Socure’s leadership principles, including continuous learning, effective communication, and accountability. Design, develop, and implement advanced deep learning models, including transformers, CNNs/RNNs, and graph learning algorithms, to address complex fraud and risk challenges. Build and optimize models using a variety of input data types, including tabular data, natural language, point clouds, and images. Lead the end-to-end machine learning lifecycle: data exploration, feature engineering, model training, evaluation, deployment, and monitoring in production environments. Take ownership of project outcomes, data quality, and delivery timelines; proactively escalate issues and work collaboratively to resolve challenges. Mentor and share knowledge with peers and junior data scientists, fostering a culture of experimentation, rapid iteration, and continuous learning. Collaborate cross-functionally with Product, Engineering, and Risk teams to define data requirements and drive insights that guide strategic decisions. Conduct in-depth research to explore new data sources and develop novel algorithms that advance the state of the art in fraud detection. Present findings and recommendations to technical and executive stakeholders with clarity and influence. Stay current with advancements in AI and machine learning, applying innovative approaches to real-world problems. Model Socure’s embedded leadership competencies: continuous learning, effective communication, accountability, team development, decision making, and managing change. Master’s or PhD in Computer Science, Statistics, Applied Mathematics, Data Science, or a related field; or equivalent professional experience. 8+ years of experience in data science, machine learning, or related fields, ideally in a high-growth tech or fintech environment. Experience in fraud prevention, risk modeling, or identity verification. Years of hands-on experience developing and deploying deep learning models (such as transformers, CNNs/RNNs, and graph learning). Experience working with diverse data modalities, such as tabular data, text/language, point clouds, and images. Strong proficiency in Python, SQL, and major ML libraries/frameworks (e.g., PyTorch, TensorFlow, scikit-learn) Deep understanding of machine learning algorithms, model evaluation techniques, and data pipeline development. Experience with model deployment and monitoring in production environments (specific experience with real-time model inferencing is a plus) Experience with LLMs and Agentic AI framework/infrastructure (e.g., LangChain/LangGraph/Ray) is a plus. Demonstrated ability to proactively deliver complex outcomes, mentor others, and influence cross-functional decisions. Excellent communication skills with the ability to translate complex data problems into actionable business insights for both technical and non-technical audiences. Commitment to continuous learning, professional integrity, and high standards of business ethics. Please note: we are unable to provide sponsorship 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! | | |