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Job Description Sr. Business Intelligence AnalystDivision Overview:We are the Marketing Analytics and Data Integration (MADI) team, part of the Data & Insights Group (DIG) Business Intelligence team. DIG is a key connector among the Streaming verticals. The group consists of subject matter experts that prototype, build, and scale data infrastructure and products; assess, aggregate, and analyze data; and shape qualitative and quantitative-based narratives and insights, providing stakeholders with decision support, performance clarity and business-driving recommendations.The MADI team provides actionable, data-driven solutions to solve marketing challenges. We work closely with Media Strategy and Media Activation teams to drive our growth and retention.Role Details:This Sr. Analyst position is to cover a role providing media measurement and analytics for streaming marketing campaigns. This role will design and implement measurement frameworks, deliver insights and analyses, drive project planning, and foster strong partnerships with stakeholders. You’ll be responsible for guiding technical analyses, including researching, reporting, and presenting findings that shape business decisions and deliver actionable insights.Success in this role will require strong analytical skills, the ability to interpret data in context, and the capability to explain marketing performance, industry trends, and cross-platform usage. The ideal candidate brings curiosity, precision, excellent communication skills, and a passion for media.From January 2026, the role is expected to be on-site full time.Responsibilities: Your Day-to-Day: • Foster data-informed decision making throughout the streaming marketing organization, • Deliver analyses to inform marketing decision making using Cross-Platform and Clean Room analytics platforms, • Gather data requirements from marketing activation and strategy to design automated data pipelines or build new tables into Google BigQuery data warehouse for reliable and scalable reporting across business uses., • Partner with data engineers to ensure design, development, and solution builds are tested and validated for signal resilience., • Clearly provide statuses and project timelines with operational and technical teams as needed., • Collaborate with team members to ensure dimensions and metrics in data pipelines are compliant with business workflows powering our reporting., • Support development of auditing tools of existing data sets to check for anomalies and irregularities; leverage tools to escalate data inconsistencies using SQL and Google Cloud Service suite features., • Partner with data engineers to optimize speed performance of BigQuery tables in supporting dashboards and reports., • Build dashboards (using Tableau, Python and other BI tools) that illustrate how key performance indicators (KPIs) and metrics are changing over time. Provide “color” and insights from the findings and make recommendations to the business., • Build data workflows for our marketing data that ensures consistent data integrity., • Stay current with emerging trends in data science, AI, and marketing analytics and apply them to business challenges, • Perform other related duties including ad hoc reporting and projects as assigned by DirectorRequirements: You Have:, • BA/BS. 2+ years experience in digital marketing and analytics, web analytics, online media industry., • Proficient in SQL with a thorough understanding of data and systems' infrastructures; experience extracting, cleaning, and transforming data within databases using SQL, • Experience or coursework in media measurement including cross platform, web, native, app, video measurement technology and standards, • Proficient with analytical tools and languages supporting data analysis, reporting, and visualization - Excel, Microsoft Office, Google Collaborative Apps (Docs, Sheets, Slides), Tableau, R, Python, • Strong detail-orientation with a penchant for data accuracy and good grammar You might also have:, • Strong mathematics, statistics background, • Strong solutions-oriented and critical thinking mindset, • Experience using Google Cloud Platform (BigQuery), • Experience translating requirements into actionable instructions and documentation, • Experience in working independently to meet deliverables with some oversight, • Experience using project management tools like those from Atlassian (JIRA, Confluence)Compensation:, • $76.00 to $82.37/hr. (W2)Job req# PMOUNTJP00000977

Job Description Senior Backend Engineer WHY THIS ROLE EXISTS Our client is building AI technology to make healthcare accessible and free for everyone. They are seeking backend engineers to develop scalable infrastructure that supports billions of AI driven consultations while ensuring medical safety and HIPAA compliance. This role is central to delivering reliable and secure systems at massive scale. WHAT YOU WILL BUILD Healthcare API Infrastructure • Design and maintain high performance APIs using Python and cloud services to handle millions of requests each month, • Develop RESTful APIs that support AI healthcare tools and internal platform workflows, • Process sensitive patient data in real time while maintaining strict HIPAA compliance, • Implement secure health record exchange with EHR systems, national health networks, and QHINs, • Integrate with telehealth providers, analytics platforms, and third-party healthcare APIs, • Process large volumes of sensitive data with encryption and compliance safeguards, • Optimize databases for high-volume, complex healthcare queries, • Implement secure caching and session management using Redis, • Develop error handling, failover, and disaster recovery systems for mission critical services, • Coordinate backend workflows for AI tools and clinical decision making, • Develop Python-based deterministic systems alongside AI agents to ensure clinical accuracy, • Build APIs supporting model inference, data preprocessing, and result handling HOW THE CLIENT OPERATES • Engineering led environment with minimal process overhead, • Flat structure with direct collaboration with company leadership, • End to end ownership from concept to production, • AI assisted development tools encouraged Background • Computer science degree or equivalent hands on experience, • Engineering, math, or related technical degrees welcomed, • Track record of operating at a high engineering standard, • Founder level ownership mindset or early stage startup experience preferred, • Six or more years of backend engineering experience, • Strong experience with Python and frameworks such as FastAPI or Flask, • Cloud services experience and high volume API handling, • Proficiency with relational databases and performance optimization, • Third-party API integration and webhook management, • Microservices architecture and distributed system patterns, • Security best practices for sensitive data and API design, • CI/CD pipelines, containerization, and deployment automation, • Experience in healthcare, fintech, or other regulated industries, • Knowledge of healthcare data standards such as HL7, FHIR, and HIPAA compliance, • Experience with high-scale real time data processing, • Familiarity with AI and ML system integration and model serving, • Event-driven architectures, message queues, and async processing, • Exposure to healthcare workflows, EHR systems, or telehealth platforms, • Seed or Series A startup experience Competitive compensation and meaningful equity Opportunity to build infrastructure impacting millions of patients globally Direct collaboration with company leadership and healthcare experts Access to modern backend and AI technologies Benefits reimbursement

Job DescriptionCareer Renew is recruiting for one of its clients a Staff Backend Engineer - AI - this is an onsite role in NYC. Salary range: 200-250K USD yearly plus benefits plus equity. We build autonomous manufacturing systems powered by AI and robotics to solve America's manufacturing workforce crisis. We're creating the intelligence layer that lets machines run autonomously so manufacturers can scale production without scaling headcount. You'll join a small in-person team in NYC with deep experience from defense tech and AI who've already shipped products to DoD customers. This is your chance to build the future of American manufacturing at the intersection of ML robotics and distributed systems. As Staff ML Backend Engineer you'll own the entire data pipeline for robotics sensor data and build foundational ML infrastructure. You'll make key technical decisions around storage processing and analytics while functioning as a research engineer to keep ML team iteration cycles fast. This Staff Backend Engineer will build the foundational infrastructure for our machine learning pipelines, focusing on creating robust, scalable backend systems for advanced robotics. The role involves owning the data collection and storage pipeline for robotics sensor data, making key technical decisions, and functioning as a research engineer for the ML team to accelerate their iteration cycles. This is a generalist software engineering role focused on the backend, particularly on building production systems for large-scale data and data pipelines, rather than internal tooling. Tech stack Python, Rust, C++, Distributed Systems, Data Pipelines, PyTorch, TensorFlow, Time-series Databases, GPU Requirements: 7+ years of experience in backend engineering building production data pipelines in Python, Rust, or C++ (Mandatory) Built production data pipelines for large-scale sensor/video data. (Mandatory) Experience with distributed systems handling low-latency, high-throughput data flows (Mandatory) Experience in latency-sensitive environments (e.g. trading systems, real-time industrial/robotics systems) (Nice-to-have) BS/MS in Computer Science or a related technical field. (Mandatory) Strong proficiency in Python, Rust, or C++ for backend / systems development (Mandatory) Experience with time-series or streaming data systems (e.g. sensor data pipelines, event streams) (Mandatory) Familiarity with ML infrastructure or supporting ML pipelines in production (not just model training) (Nice-to-have)

Job Description Hi, we're Oscar. We're hiring a Senior Manager, Data Science to join our Data Team. Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves—one that behaves like a doctor in the family. About the role: We are a team of data scientists and analysts who bridge and business to deliver measurable results and transformative impact. You will lead a team dedicated to quantifying, analyzing, and accelerating growth and engagement. You will partner with Sales, Marketing, and Strategic Finance to model our growth funnels, create predictive models that forecast churn, and align macro market dynamics with Oscar's strategic roadmap. You will report into the Director, Data Science. Work Location: This position is based in our New York City office, requiring a hybrid work schedule with 3 days of in-office work per week. Thursdays are a required in-office day for team meetings and events, while your other two office days are flexible to suit your schedule. #LI-Hybrid Pay Transparency: The base pay for this role is: $180,504 - $236,911.50 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants and annual performance bonuses. Responsibilities: • Translates business goals into plans and tactics for the team, • Works with more senior leaders to establish longer term strategies and roadmaps, • Participates in team-wide technical and operations management responsibilities, • Leads and manages a small team of data scientists and/or analysts, • Interacts and collaborates closely with data and business management across functional areas, • Leads the research, development, and maintenance of data pipelines, statistical/ML models, and/or advanced analyses, • Compliance with all applicable laws and regulations, • Other duties as assigned Requirements: • 6+ years of industry or other quantitative technical fields (which may include academia), • 4+ years of work experience working with SQL, R, and/or Python to query, manipulate and analyze data, • 4+ years experience building data models, using more advanced analytics methods, statistical modeling, and/or data processing, • Advanced degree in a quantitative or technical field, • Experience in the healthcare, finance and/or insurance industries This is an authentic Oscar Health job opportunity. Learn more about how you can safeguard yourself from recruitment fraud here. At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care -- an experience made whole by our unique backgrounds and perspectives. Pay Transparency: Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience. Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements. Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial intelligence for candidates and detail how we use AI to support our recruiting efforts. Reasonable Accommodation: Oscar applicants are considered solely based on their qualifications, without regard to applicant's disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team () to make the need for an accommodation known. California Residents: For information about our collection, use, and disclosure of applicants' personal information as well as applicants' rights over their personal information, please see our Privacy Policy.

Job Description Apply now: Lead Analytics and AI Engineer, location is Remote. The start date is ASAP for this permanent position. Job Title: Lead Analytics and AI Engineer Location-Type: Remote (EST hours; optional access to NYC office) Start Date Is: ASAP Duration: Permanent Compensation Range: $130,000 – $150,000 base salary bonus Benefits: Medical, dental, vision, 401k, PTO Not eligible for visa sponsorship Job Description: Lead the design and delivery of analytics and AI solutions by turning business needs into scalable data pipelines, models, and production-ready technical solutions. Day-to-Day Responsibilities: * Partner with business stakeholders to gather requirements and translate problems into AI and analytics solutions * Design and build scalable data pipelines, ETL/ELT workflows, and data platform components * Write hands-on code in Python and SQL to develop pipelines, models, and supporting solutions * Build and optimize solutions in Databricks for analytics, reporting, and AI use cases * Create documentation and technical requirements for offshore development teams * Guide offshore execution and ensure solutions are delivered accurately and efficiently * Improve data quality, performance, monitoring, and reliability across pipelines and platforms * Support analytics, business intelligence, reporting, and AI initiatives with scalable data architecture Requirements: Must-Haves: * 6–10 years of experience in data engineering, analytics engineering, or related roles * Strong hands-on Python and SQL skills * Experience building and maintaining ETL/ELT pipelines and data workflows * Strong background in data engineering, data pipelines, and data warehousing * Databricks experience * Experience designing and delivering data and AI solutions * Ability to translate business needs into technical solutions * Strong communication skills and comfort in a client-facing environment * Bachelor's degree in Computer Science, Engineering, Information Systems, or related field Nice-to-Haves: * AWS experience * Experience with AI/ML tools or AI solution development * Experience with workflow orchestration tools such as Airflow * Experience with API-based ingestion and modern cloud data platforms * Experience supporting near real-time analytics or reporting environments

Job Description We are looking for a Data Scientist to analyze large amounts of raw information to find patterns that will help improve our company. We will rely on you to build data products to extract valuable business insights. In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research. Your goal will be to help our company analyze trends to make better decisions. Responsibilities • Identify valuable data sources and automate collection processes, • Undertake to preprocess of structured and unstructured data, • Analyze large amounts of information to discover trends and patterns, • Build predictive models and machine-learning algorithms, • Combine models through ensemble modelling, • Present information using data visualization techniques, • Propose solutions and strategies to business challenges, • Collaborate with engineering and product development teams Requirements • Proven experience as a Data Scientist or Data Analyst, • Experience in data mining, • Understanding of machine-learning and operations research, • Knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset, • Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop), • Analytical mind and business acumen, • Strong math skills (e.g. statistics, algebra), • Problem-solving aptitude, • Excellent communication and presentation skills, • BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or other quantitative field is preferred

Job Description Garner's mission is to transform the healthcare economy, delivering high-quality and affordable care for all. We are fundamentally reimagining how healthcare works in the U.S. by partnering with employers to redesign healthcare benefits using clear incentives and powerful, data-driven insights. Our approach guides employees to higher-quality, lower-cost care, creating a system that works better for everyone. Patients achieve better health outcomes, employers spend healthcare dollars more effectively, and physicians are rewarded for delivering exceptional care rather than performing more procedures. Garner is one of the fastest-growing healthcare technology companies in the country. Our products are trusted by the most sophisticated employers and providers in the industry, and we are building a team of talented, mission-driven individuals who are motivated to make a meaningful impact on healthcare at scale. About the role: We are seeking an exceptional Data Engineer II to join our Engineering team, with a high sense of ownership who is excited about our mission, eager to learn and teach others, and can deliver across the tech stack. The ideal candidate should have experience with a modern data stack and implementations of data pipelines using Python and SQL in AWS. Where you will work: This role will be based in our New York City office. You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday. What you will do: • Build, optimize, and maintain data pipelines that power our business, • Define and build out abstracted reusable data sets to be used for Business Intelligence, Marketing, and Data Science Research, • Design, build, and evangelize a federated data validation framework to be used to monitor potential data inconsistencies, • 2+ years of software/data engineering experience (distributed data processing, data warehousing, data governance, Big Data, data variance, data privacy, and data quality)., • Expertise in SQL and Python, • Expertise in building scalable data pipelines, query optimization, data modeling, and defining reusable datasets, • Experience working with orchestration tools (especially Airflow), databases (especially PostgreSQL), data warehouses (especially Snowflake), • Familiarity with SQL tuning, medallion/event-driven architectures, and telemetry., • Familiarity with healthcare or insurance, • Familiarity with data security and HIPPA compliance Postgres/SQL, Snowflake, Python, AWS, Terraform, Argo, Airflow, Spark, DuckDB, Iceberg, Airbyte, DBT, ElasticSearch (aka OpenSearch), OpenTelemetry, Looker This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare. Please note: we are unable to sponsor or take over sponsorship of an employment visa at this time. Compensation Transparency: The target salary range for this position is $125,000-$165,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k) with company match, flexible spending accounts, Teladoc Health and more. Fraud and Security Notice: Please be aware of recent job scam attempts. Our recruiters use getgarner.com and garnerhealth.com email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement here and to . Equal Employment Opportunity: Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at .

Job DescriptionCompany Description Vichara is a Financial Services focused products and services firm headquartered in NY and building systems for some of the largest i-banks and hedge funds in the world. Job Description The individual will work closely with the Risk Management organization, Front Office, and global technology teams. The VP shall understand how risk metrics are produced, validated, and consumed, and be able to analyze, and troubleshoot risk reporting issues. This role requires strong SQL, Python, and data engineering skills, along with familiarity with market and credit risk concepts across bonds, derivatives, structured products, and loan portfolios. This is a senior individual contributor position with high ownership. Primary Responsibilities • Serve as the senior technical partner to Market Risk and Credit Risk teams, focusing on data and platform solutions, • Perform hands-on development in SQL and Python to support risk data pipelines, analytics, reconciliations, and reporting workflows., • Support daily, weekly, and monthly risk reporting cycles, ensuring accuracy, completeness, and timely delivery., • Validate and troubleshoot risk reporting issues using market data, pricing inputs, and risk factor mappings., • Collaborate with onshore and offshore teams to enhance data quality, lineage, and reporting controls., • Drive improvements in automation, data validation, transparency, and modernization of risk processes.Qualifications Required Qualifications and Experience • Minimal 5+ years of hands-on technology experience supporting Market Risk, Credit Risk, or trading/risk data environments., • Strong SQL skills (Snowflake, SQL Server, or equivalent) for analytics, modeling, and performance optimization., • Python experience for data processing, analytics, and automation., • Experience integrating market data, pricing data, and risk factor inputs into analytical or reporting systems., • Hands-on experience building or supporting ETL pipelines, reconciliations, data validation checks, and reporting workflows., • Familiarity with risk metrics such as DV01, stress testing, scenario analysis, and credit exposure concepts., • Excellent communication skills, with ability to partner with Risk Management, Front Office, and other engineer teams., • Experience with risk platforms, pricing engines, or market data systems., • Familiarity with structured credit or whole loan analytics., • Experience working with cloud platforms such as Azure or Snowflake., • Understanding of credit and market risk regulatory frameworks., • Strong curiosity and willingness to dive deeply into data, calculation methodologies, and risk processes. Additional Information

Job Description We are sharing a specialised part-time consulting opportunity for professionals experienced in data engineering, analytics engineering, ETL/ELT workflows, pipeline orchestration, data quality testing, warehouse design, and structured technical documentation processes. This role supports current and upcoming remote consulting opportunities focused on structured data pipeline review, analytics engineering workflow analysis, orchestration assessment, data quality validation, warehouse documentation, and high-quality project execution. Selected professionals will apply their data engineering expertise to review realistic pipeline scenarios, evaluate technical requirements, prepare structured written outputs, and support accurate, evidence-based data workflow tasks. Key Responsibilities Professionals in this role may contribute to: Pipeline Development & ETL/ELT Review • Review data engineering scenarios involving ETL/ELT pipelines, dbt models, incremental logic, watermark behavior, transformations, and output tables, • Evaluate pipeline outputs against defined data contracts, expected table structures, source materials, and transformation requirements, • Support structured review of SQL models, dbt projects, pipeline documentation, transformation logic, and data processing workflows, • Review orchestration scenarios involving Airflow, Dagster, Prefect, scheduled jobs, DAG dependencies, retries, and workflow execution, • Evaluate data quality tests against known pass/fail cases, validation rules, test suites, and documented expectations, • Support structured review of data quality checks, pipeline test cases, orchestration documentation, and monitoring workflows, • Review warehouse design scenarios involving schemas, data models, performance targets, query-time budgets, partitioning, clustering, and storage design, • Evaluate schema designs against defined contracts, downstream requirements, performance expectations, and documented constraints, • Support structured review of data contracts, schema documentation, warehouse models, and analytics engineering artifacts Strong candidates may have: • 3+ years of experience in data engineering, analytics engineering, data platform engineering, BI engineering, warehouse engineering, or related technical roles, • Experience with one or more areas such as dbt model development, ETL/ELT pipelines, orchestration, data quality testing, warehouse design, schema documentation, incremental models, or data contracts, • Familiarity with tools and platforms such as dbt, Airflow, Dagster, Prefect, Snowflake, BigQuery, Redshift, Databricks, Spark, SQL, Python, or similar data engineering systems, • Comfort reading and preparing data engineering artifacts such as dbt models, DAGs, schema docs, data contracts, test suites, pipeline documentation, and warehouse diagrams, • Strong written communication skills and ability to explain data engineering reasoning clearly, • Bachelor's or master's degree in computer science, data engineering, information systems, software engineering, statistics, mathematics, or a related technical field is helpful, • Experience with dbt model development, data contracts, incremental models, data lineage, orchestration frameworks, or modern data stack workflows, • Familiarity with Snowflake, BigQuery, Redshift, Databricks, Spark, SQL optimization, Python-based pipelines, or cloud data platforms, • Experience preparing or reviewing DAGs, schema documentation, data quality tests, transformation logic, warehouse models, or pipeline runbooks, • Familiarity with CI/CD for data pipelines, data observability, testing frameworks, or performance tuning, • Apply data engineering and analytics engineering expertise to structured remote project work, • Contribute to high-quality pipeline review, data quality assessment, orchestration analysis, and warehouse documentation workflows, • Work on flexible, project-based assignments aligned with your professional background, • Use your data engineering judgment in a focused, detail-oriented consulting environment, • Independent contractor role, • Fully remote with flexible scheduling, • Part-time commitment depending on project availability, • Competitive rates between $95–$135 per hour depending on expertise, • Weekly payments via Stripe or Wise, • Projects may be extended, shortened, or adjusted depending on scope and performance This opportunity is available through 24-MAG LLC. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams. By submitting this application, you acknowledge that your information may be processed by 24-MAG LLC for recruitment and opportunity matching in accordance with our Privacy Policy:

Job Description Kunai builds full-stack technology solutions for banks, credit and payment networks, infrastructure providers, and their customers. Together, we are changing the world's relationship with financial services. At Kunai, we help our clients modernize, capitalize on emerging trends, and evolve their business for the coming decades by remaining tech-agnostic and human-centered. We are leveraging cutting-edge technology to deliver superior data-driven solutions. We value innovation, collaboration, and excellence, and we are seeking a skilled Data Engineer to join our dynamic team to optimize and innovate our data infrastructure within the Snowflake ecosystem. Position Summary: As a Data Engineer, you will design, implement, and manage scalable, high-performance data solutions tailored to the needs of the financial services environment. You will be instrumental in migrating traditional relational data domains to a modern cloud data platform using Snowflake, ensuring data integrity, optimizing workflows, and integrating data governance and science tools. Your expertise will enable us to maintain a robust, cost-effective, and secure data environment. Key Responsibilities: • Design, develop, and manage scalable data storage and processing solutions within the Snowflake environment optimized for financial data workloads., • Lead the migration of existing data domains and flows from relational data stores to Snowflake, ensuring seamless transitions with minimal disruption., • Identify, analyze, and optimize new and existing data workflows to improve performance and reliability., • Implement and enforce data integrity best practices to ensure accuracy, consistency, and security of data assets., • Collaborate with data governance and data science teams to integrate relevant tools and frameworks within the Snowflake ecosystem following organizational standards., • Support development and maintenance of data models and ETL/ELT processes to guarantee high-quality data ingestion into the cloud data store., • Work closely with cross-functional teams to design and implement effective data workflows, transformations, and pipelines aligned with business goals., • Assist in the ongoing maintenance and optimization of Snowflake environments focusing on performance tuning and cost reduction strategies., • Contribute to the development of proof of concepts, detailed documentation, and best practice guides governing data management and Snowflake usage., • Participate actively in code reviews, providing constructive feedback aimed at improving code quality and team collaboration., • Design and develop data ingestion pipelines using Talend or Informatica, applying industry best practices for security and efficiency., • Develop and maintain efficient SQL queries and Python scripts to analyze large datasets and automate end-to-end data workflows on scheduled intervals., • Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or a related technical field., • Proven experience (3+ years preferred) as a Data Engineer or similar role in Financial Services or a similarly regulated, data-intensive industry., • Strong expertise with Snowflake architecture, features, and best practices in cloud data warehousing and processing., • Hands-on experience migrating data workflows from traditional relational databases to Snowflake or other cloud-native platforms., • Proficiency in building and optimizing ETL/ELT pipelines using tools such as Talend and/or Informatica., • Solid SQL and Python programming skills for data ingestion, transformation, and automation workflows., • Familiarity with data governance principles and integration of governance/data science tools within data ecosystems., • Experience designing REST API integrations, specifically Snowflake REST API, to enable data distribution layers., • Knowledge of data modeling, relational and dimensional data design concepts, and data warehousing methodologies., • Ability to work onsite in Manhattan, NY, and collaborate effectively in a fast-paced, cross-functional team environment., • Experience with PowerBI or similar data analytics platforms, • Experience with financial datasets, compliance standards, and security protocols., • Familiarity with containerization (Docker/Kubernetes) and orchestration tools for data pipelines., • Knowledge of cloud platforms beyond Snowflake, such as AWS, Azure, or GCP. Our success over the past 20 years is rooted in our exceptional team, which thrives in a culture of collaboration, creativity, and continuous learning. We are proud to offer our employees a range of benefits, including competitive compensation, professional development opportunities, and flexible work arrangements, all designed to help them thrive. As we continue to expand, we remain committed to cultivating an environment where people feel valued, have a voice, and are given the tools to grow—both personally and professionally—while pushing the boundaries of innovation in the fintech industry. Minimum Degree Required: • Bachelor's Degree, in lieu of a degree, demonstrating in addition to the minimum years of experience required for the role, three years of specialized training and/or progressively responsible work experience in technology for each missing year of college is required

Job DescriptionDescription: At Biz2Credit, we are looking for individuals who are ready to join a dynamic and innovative fintech company on a mission to change the lending landscape for small businesses. Our values of Collaboration, Responsibility, Empowerment, Disruption, Innovation, and Trust guide everything we do, and our purpose of helping small businesses succeed drives us forward. As a company, we believe that with the right tools and support, small business owners can achieve their dreams, and we're here to make that happen. That's why we're dedicated to developing cutting-edge solutions, like our Biz2X platform, a fully configurable SaaS solution that leverages artificial intelligence and machine learning to make lending more efficient, effective, and accessible. But we're more than just another FinTech company. We're a team of individuals who bring their unique personalities, backgrounds, and experiences to work every day. We believe that diversity makes us stronger, and that's why we value a culture that is inclusive and supportive. We're looking for people who are excited about the opportunity to make a difference, who want to work in an environment that is both challenging and fun, and who are eager to bring their whole selves to work. So, if you're someone who is eager to join a company that is making a real impact, who values a positive and inclusive workplace culture, and who is ready to be a part of a team that is changing the lending landscape, we want to hear from you. Come join us and be a part of something truly special at Biz2Credit. Biz2Credit is launching a new small-business credit card, and we are hiring a Director of Credit Card Risk Strategy to build and scale the risk engine that powers the product. This role sits within the Risk organization and focuses on designing and executing the fraud and credit strategies required to safely grow a new card portfolio. You will own fraud and credit risk strategy across the full lifecycle, partner with Data Science on model development, work with product and engineering to implement rules and logic, and collaborate with vendors who support fraud detection, identity verification, and credit decisioning. This is a hands-on, analytics-driven role for someone who has built or scaled card risk systems before. Key Responsibilities Fraud Risk Strategy & Analytics • Develop and manage fraud strategies across the full credit card lifecycle: KYC, KYB, onboarding, transaction monitoring, disputes, and chargebacks, • Build and optimize fraud rules, signals, and decisioning logic, • Partner with Data Science to develop or enhance fraud models, • Monitor fraud KPIs, emerging patterns, and loss trends to adjust strategy, • Own credit line assignment, credit line increases (CLI), credit line decreases (CLD), and ongoing credit monitoring, • Develop and refine credit risk segmentation, cutoffs, and exposure strategies, • Partner with Data Science online assignment models and credit risk models, • Build dashboards and analytics to track credit performance, delinquencies, and portfolio trends, • Contribute to building the fraud and credit risk foundation for a new credit card program, • Support scaling of the portfolio through iterative strategy, analytics, and model improvements, • Work closely with product, engineering, operations, and external vendors to launch and scale long-duration programs, • Translate risk strategy into technical requirements for implementation, • Partner with compliance teams as needed; deep expertise not required, but familiarity with Reg Z, Reg B, FCRA, and UDAAP is helpfulRequirements:, • 5–10+ years of experience in credit card fraud risk, credit risk, risk analytics, or risk modeling, • Hands-on experience with fraud lifecycle management: KYC, KYB, onboarding, transaction monitoring, disputes, chargebacks, • Experience with credit line strategy: limit assignment, CLI, CLD, and credit monitoring, • Strong analytics background; proficiency in SQL required, Python preferred, • Experience working with fraud and/or credit risk vendors and platforms (e.g., decision engines, fraud tools, KYC/KYB providers), • Experience building or scaling risk strategies for a credit card program, • Ability to work cross-functionally with product, engineering, data science, and vendors, • Someone who has built or scaled a credit card risk engine, • A fraud + credit strategist who is equally comfortable with rules, analytics, and models, • A hands-on operator who can design a strategy and dig into SQL, • Someone who enjoys cross-functional execution and long-term program building, • A risk expert who wants to shape the foundation of a new card product

Job Description We are looking for a Machine Learning Engineer to help us create artificial intelligence products. Machine Learning Engineer responsibilities include creating machine learning models and retraining systems. To do this job successfully, you need exceptional skills in statistics and programming. If you also have knowledge of data science and software engineering, we’d like to meet you. Your ultimate goal will be to shape and build efficient self-learning applications. Responsibilities • Study and transform data science prototypes, • Design machine learning systems, • Research and implement appropriate ML algorithms and tools, • Develop machine learning applications according to requirements, • Select appropriate datasets and data representation methods, • Run machine learning tests and experiments, • Perform statistical analysis and fine-tuning using test results, • Train and retrain systems when necessary, • Extend existing ML libraries and frameworks, • Keep abreast of developments in the field Requirements • Proven experience as a Machine Learning Engineer or similar role, • Understanding of data structures, data modelling and software architecture, • Deep knowledge of math, probability, statistics and algorithms, • Ability to write robust code in Python, Java and R, • Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn), • Excellent communication skills, • Ability to work in a team, • Outstanding analytical and problem-solving skills, • BSc in Computer Science, Mathematics or similar field; Master’s degree is a plus

Job DescriptionWho we are The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn't coming; it's here, and we need builders, innovators and problem solvers to help us create it. Who you are Metropolis is seeking an Financial Systems Administrator to join our team. You will manage, maintain, and optimize our Oracle Cloud EPM (EPBCS) ecosystem while serving as the strategic bridge between our Financial Planning & Analysis (FP&A) organization and our centralized Data Engineering teams. In our high-velocity, 5,000-location enterprise, financial accuracy is inextricably linked to operational data. You will not only handle traditional EPM administration but also partner directly with data and operational teams to define technical requirements for integrating non-financial KPIs—such as location churn, new facility onboardings, occupancy rates, and transaction counts—directly from our data warehouse into our financial forecasting models. The ideal candidate brings a strong grasp of EPM architecture, SQL data structures, and the communication skills required to translate complex operational metrics into actionable financial drivers. What you'll do • Oversee the end-to-end administration, configuration, and continuous optimization of the Oracle Cloud EPM suite (EPBCS), • Design, build, and troubleshoot Essbase ASO/BSO cubes to support large-scale operational scenario planning, • Act as the primary technical translator between Finance and centralized Data/IT teams; partner with Data Engineering to define technical requirements, ensuring that data models in our data warehouse (e.g., Snowflake) are properly structured for seamless EPM ingestion, • Collaborate with data teams to ingest high-volume non-financial KPIs (e.g., transaction counts, location churn) into EPM planning cubes, • Troubleshoot integration workflows and perform root-cause analysis on data discrepancies using SQL and Python, • Replace static calculation scripts with dynamic, context-aware logic to optimize system performance across thousands of sparse locations, • Utilize EPM Automate alongside Python or batch scripting for complex job scheduling, • Manage the volatile lifecycle of 5,000+ operational locations; ensure location additions, divestitures, hierarchical changes and associated access permissions, synchronize flawlessly across ERP, CRM, and EPM environments, • Develop and maintain high-impact visualization dashboards (Tableau, Looker, Hex) with intuitive narratives to facilitate executive decision-making; provide user support, training, and documentation for supported applicationsWhat we're looking for, • 7+ years of Oracle EPM (EPBCS/Planning) System Administration and development experience in a high-growth, multi-location enterprise, • Bachelor's degree in Computer Science, Finance, Economics, Accounting, Information Systems, or a related field, • Strong knowledge of data integration tools (EPM Integration Agent, Data Management, EPM Automate) and deep understanding of dependencies between functional components of Oracle EPM, • Proficiency in SQL and Python with a proven track record of automating financial processes, • Must understand modern cloud data structures well enough to perform "handholding" and meaningful collaboration with Data Engineers, • Exceptional ability to bridge the gap between technical data architecture and functional financial insights, • Strong experience partnering with Senior Leadership and the ability to translate "big picture" financial concepts into tactical execution plans for IT, • Ability to work independently or with a low-ego, highly collaborative, cross-functional team in a fast-paced, deadline-driven environment, • Experience leveraging AI tools to transform static workflows into responsive, high-output processesWhile not required, these are a plus: When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $120,000.00 USD to $130,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis' total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-AW1 #LI-Onsite Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate's application relative to the required job qualifications and responsibilities listed in the job posting. As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records. Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.

Job DescriptionAbout Goodie AI: Goodie helps leading brands win AI search. As billions of people use ChatGPT, Perplexity, Gemini, and other AI systems to discover products and make buying decisions, brands need a way to understand and influence how they’re represented. Goodie gives teams a full AI control plane: real-time visibility into how AI models speak about their brand and products, how competitors show up, and an optimization engine to improve visibility and performance. This category didn’t exist two years ago - we were early, and we’re defining it. We’re backed by strong investors, trusted by category-leading customers, and scaling fast. We’re hiring curious, ambitious builders to help shape the future of AI search. We are looking for: We're seeking an exceptional Senior Software Engineer to join our rapidly growing AI Lab. You will play a critical role in driving and accelerating the development of cutting-edge AI use cases, working closely with our Product Lead, Designers and Machine Learning Engineers to design and build scalable, industry-leading AI solutions. You'll do: * Lead the development of our AI platform, focusing on scalability, speed, and user experience. * Architect and develop front-end solutions using React to create smooth, engaging, and intentional user experiences. * Implement back-end infrastructure with a focus on speed, scalability, security, and seamless integration with various platforms via robust API connections. * Utilize DevOps practices to manage the deployment pipeline, ensuring efficient, reliable, and secure software delivery. * Collaborate with UX/UI Designers to translate web designs into functional, intuitive user interfaces. * Work closely with Data Scientists to ensure accurate data collection, analysis, and application within the platform. * Participate in the entire application lifecycle, from coding to debugging and testing, with an emphasis on quality and performance. * Maintain and optimize the performance of existing applications. * Stay up-to-date with emerging technologies and explore potential integrations to enhance our operations. You have: * 5+ years of full-stack development experience with a proven track record of building high usage B2B software applications. * Proficiency in React for front-end development, with a strong understanding of how to build responsive, high-performance web applications. * Experience with server-side languages such as Python, Node.js, or Java. * Strong understanding of DevOps practices and experience in software deployment, including CI/CD pipelines, containerization (e.g., Docker), and cloud infrastructure (AWS, Google Cloud, or Azure). * Solid knowledge of database management systems (e.g., MySQL, PostgreSQL, MongoDB). * Experience with RESTful APIs, API integration, and data exchange formats (JSON, XML). * Familiarity with software development best practices, including version control (Git), testing, and continuous integration/deployment (CI/CD). * Excellent problem-solving skills and the ability to debug complex systems. * Strong leadership and communication skills, with the ability to collaborate effectively with cross-functional teams. * Passion for ad tech and a desire to work in a fast-paced, innovative startup environment. * BS in Computer Science, Engineering, or a relevant field. EEO & Compensation Transparency: Goodie AI is committed to pay transparency and equity among all employees and provides employees an environment where pay transparency and dialogue on compensation are allowed. Goodie AI complies with federal, state, and local laws on compensation, pay transparency, and pay equity. We take factors including geographic location, education, training, skillset, market rates, certifications, and more into consideration when constructing pay ranges for new and existing roles within our organization. The compensation range for this position is $130,000-$160,000. At Goodie AI, we understand that diversity in the workplace is vital to a company’s success and growth. We strive to make sure that our team members are included and have a sense of belonging that makes us a great company to work with and a great company to work for. To that end, Goodie AI is committed to Equal Opportunity Employment and complies with all Equal Opportunity Employment laws. We will consider all qualified applicants without regard to race, religion, color, national origin, sex, gender identity, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will work to make reasonable accommodations available in the job application and interview process, to perform essential duties of the job function, and to retrieve other benefits and privileges of employment with our organization. BEWARE OF FRAUD! Please be aware of potentially fraudulent job postings or suspicious activity by persons that are posing as Goodie AI team members, recruiters, and HR employees. Our team will contact you regarding job opportunities from email addresses ending in @nogood.io or @higoodie.com. Additionally, we do utilize our ATS- Ashby- to help us schedule initial screening calls. Job seeking is hard- we’re sorry that scammers have added this element to your search for something new. Stay vigilant out there!

Job Description At Philo, we're a group of technology and product people who set out to build the future of television, marrying the best in modern technology with the most compelling medium ever invented — in short, we're building the TV experience that we've always wanted for ourselves. In practice this means leveraging cloud delivery, modern tech stacks, machine learning, and hand-crafted native app experiences on all of our platforms. We aim to deliver a rock solid experience on the streaming basics, while cooking up next generation multi-screen and multi-user playback experiences. Senior Backend Software Engineer (Video Engineering) Video is at the core of Philo and what customers engage with the most: watching their favorite shows. The Video Infrastructure team is crucial for delivering on this high expectation, and — together with the Ads team — for generating significant revenue through advertising. We own the systems that get every frame of Philo to every screen: live and video on demand transcoding, DRM and license servers, manifest generation that holds up under peak live events, and Server-Side Ad Insertion (SSAI). We support playback across all major streaming platforms, and partner closely with the Ads, Client, and Data teams to build out the end-to-end video player and ad experience. We increasingly apply machine learning to inspect both content and ads — surfacing quality issues, optimizing encodes, and improving the viewing experience in ways that weren't possible a few years ago. Philo's video streaming infrastructure is highly distributed, horizontally scalable, and harnesses the power of cloud computing to deliver video at exabyte scale. Our video pipeline, developed in-house, uses industry-leading commercial and open source components to transcode, package in real-time, and generate HLS and DASH manifests on a per-user, per-session basis. The team also builds and maintains highly available RESTful web services that dynamically scale to meet the ever-increasing demands of simultaneous video streams across our platform. We are seeking an enthusiastic Senior Software Engineer to help us build and optimize the next generation of our video ingest, transcode and delivery platform. This is a high impact role that influences every video stream that Philo serves. If you endeavor to see how your work directly impacts end-users this is the role for you. Responsibilities: • Design, implement, deploy and monitor the next generation of Philo's video streaming pipeline, using a combination of in-house technology and open source software., • Collaborate with content partners to engineer systems that deliver the best possible TV watching experience for Philo's users., • Build scalable and resilient data pipelines for ingesting video and analytics events using distributed computing and micro-services architecture principles., • Collaborate with internal stakeholders across video delivery, ad operations, and data science teams to ensure we are measuring and optimizing every aspect of our video delivery process and our users' viewing experience., • Drive continuous improvements to the reliability, performance, latency and security of Philo's video streaming platform., • Drive evaluation, selection, and development of video encoding technologies to optimize video quality and reduce CDN delivery costs., • Assist our client engineering teams in testing and improving video streaming QoE as we develop Philo apps for several new platforms.Qualifications:, • 8+ years of software development experience., • Proven track record of building highly efficient and highly available software using Golang, Java, C++ or similar programming languages., • Deep experience with concurrent programming., • Experience building concurrent HA and high throughput RESTful web services., • Experience operating in cloud computing environments using modern software deployment technologies (e.g. Docker, Kubernetes)., • Demonstrated ability to own and drive complex architectural/development tasks to completion by following Scrum/Agile methodologies., • Experience working with large amounts of data and making data-based decisions to prioritize projects, including familiarity with relational and non-relational databases and modern data warehousing and querying., • Experience and aptitude for collaborating and communicating with internal and external stakeholders in both business and technical roles., • Experience building or integrating audio and video codecs such as AAC, H.264/AVC, H.265/HEVC and AV1., • Experience with video quality assessment tools such as VMAF, SSIM, etc., • Experience with video streaming protocols such as MPEG-DASH, HLS, MPEG TS, fMP4, CMAF, Zixi, and SRT., • Experience with OTT video packaging and DRM. More about Philo At Philo, we're a company that puts people first—both our subscribers and our team. We empower our colleagues to do their best work while supporting one another in pursuing shared goals. We value pragmatism, pride in our work, and passion, with transparency and openness as fundamental parts of our culture. We're committed to diversity, equity, inclusion, and accessibility as we grow the Philo team and shape the future of TV. We believe that a diverse range of voices and perspectives enables us to innovate faster and create the best experiences for our subscribers. Philo is proud to be an Equal Opportunity Employer. We're committed to supporting every candidate and employee. If you need an accommodation at any stage of the process, please email and we'll work with you to meet your needs. Philo offers 70+ top-rated networks, including AMC, BET, CMT, Comedy Central, Discovery Channel, Food Network, Hallmark Channel, HGTV, HISTORY, Investigation Discovery, Lifetime, MTV, Nickelodeon, OWN, VH1, We TV, and more. It also includes all the groundbreaking originals and blockbuster movies available with AMC+ and access to HBO Max Basic With Ads and discovery+. Our service also includes 100+ free channels and premium add-ons like STARZ and MGM+. Our extensive library boasts over 85,000 titles, and our unlimited DVR allows users to save their favorite shows and movies for up to a year, skipping ads for a seamless viewing experience. Stream on up to three devices simultaneously, whether on your phone, tablet, laptop, or TV using Roku, Apple TV, Fire TV, Samsung TV, Android TV, Vizio TV, or Chromecast. Philo is headquartered in San Francisco, with offices in New York City and Cambridge, MA. Our leadership team includes alums from HBO, Tubi, and Meraki, and is backed by NEA and industry partners like Warner Brothers Discovery, Viacom, AMC, and A&E. Join us at Philo and be part of a team that's shaping the future of TV! Projected Start Date: ASAP Status: Full-time Location: San Francisco, CA, Brooklyn, NY, Cambridge, MA, or fully remote within the U.S. Compensation: Includes annual salary, company stock options, and health benefits. Salary is determined by experience and location: • San Francisco, New York City: $180K - $235K, • Boston, DC Metro, Los Angeles, Seattle: $170K - $225K, • Denver, Atlanta, Austin, Las Vegas, Sacramento, Chicago: $160K - $215K, • Full health, dental and vision coverage for you and your family, • 401(k) plan with employer contributions (we match 100% of deferrals up to 3% of pay and 50% of the next 2% of pay), • Flexible working hours, • Up to 20 weeks of fully paid parental leave, • Unlimited paid time off for vacation and sick leave, • $2,000 annual vacation bonus (we pay you to take a two week vacation), • $5,250 annually for professional development and educational assistance, • $1,250 annual home office + TV stipend during first year of employment ($250 annually thereafter), • $500/month ($6,000/year) bonus for employees who commit to working at least 3 days per week in our offices, plus generous commuter benefits ($315/month towards transit, rideshare, bike rental, or parking at our HQ office in San Francisco), • Free Gympass subscription — an all-in-one corporate benefit that gives employees the largest selection of gyms, studios, classes, training and wellness apps, • Dog-friendly office Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Job DescriptionDescriptionBlue Mantis is looking to hire a Network Systems Administrator to support multiple customers based in the NYC area. The ideal candidate will be proficient in supporting various systems and applications, including server and cloud environments, and should also have experience with networking. This team supports a wide array of technologies to meet the needs of our customers’ large enterprise network environments. Key Responsibilities * • Server Administration: Manage and maintain Windows, Linux, and Unix environments to ensure optimal performance., • Cloud Operations: Administer cloud platforms including AWS, Azure, and O365 for enterprise workloads and containerization., • Virtualization: Manage, configure, and troubleshoot VMware-based environments to ensure optimal performance, scalability, and availability of virtualized infrastructure., • System Monitoring: Leverage platforms such as SolarWinds and DataDog to ensure network reliability and performance., • Incident Management: Lead network-related incident resolution, ensuring SLAs are met and escalating issues when necessary., • Security Best Practices: Implement and support secure networking solutions, ensuring robust protection in on-premise and cloud environments., • Documentation: Create and maintain detailed network documentation, including topology maps and procedures for troubleshooting. Skills, Knowledge and ExpertiseRequired Skills • Strong experience Cisco Nexus/Arista/Meraki Switches, Cisco Wireless Controllers, Windows, Linux, and Unix environments using the ServiceNOW ticketing system., • Hands-on experience with cloud platforms (AWS, Azure, O365, VMware) and virtualization/containerization technologies, Infoblox, DNS, and remediation of vulnerabilities., • Backup and DR Support: Experience supporting and troubleshooting backup and disaster recovery solutions such as Rubrik and Zerto, ensuring data protection and system resilience., • Hands-on experience with firewalls, routing protocols, and network monitoring tools like SolarWinds., • Familiarity with automation tools and scripting, • Network troubleshooting in data center environments. (Cisco, Palo Alto, Meraki, Arista), • Proficiency in scripting languages (Python, PowerShell, Bash) for automating server and cloud operations., • Familiarity with cloud-based networking solutions in AWS, Azure, or O365 environments., • Knowledge of infrastructure capacity planning and performance tuning., • Knowledge of Kubernetes, Docker, and container orchestration for managing distributed applications., • Familiarity with security best practices, SIEM platforms, and endpoint protection., • Experience with advanced video streaming technologies and CDNs., • Familiarity with infrastructure performance tuning and capacity planning.Qualifications, • Provide game day support on major holidays when games are played., • Education: Bachelor’s degree in Computer Science, Information Technology, or equivalent hands-on experience., • Certifications: CCNA, CCNP (or equivalent) ITIL and technical certifications in, servers and/ or cloud (preferred)., • Experience: Demonstrated expertise in a complex, multisite environment.Please note: This range is based on our market pay structures. However, individual salaries and hourly pay rates are determined by a variety of factors including, but not limited to business considerations, local market conditions, and internal equity, as well as candidate qualifications, such as skills, education, and experience. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. Reasonable accommodations will be made to enable employees with disabilities to perform the essential functions of the job. This job description is intended to describe the general nature of work being performed by employees in this job. It is not intended to be a complete list of all responsibilities, duties, and skills required. Agencies/3 Parties may not solicit to any employee of Blue Mantis. Any candidate information received from any Agency/3 Party will be considered a gift and property of Blue Mantis, unless the Agency/3 Party is an Authorized Vendor of Blue Mantis with an up-to-date Blue Mantis Contract in hand signed by Blue Mantis Talent Acquisition. No payment will be made to any Agency/3 Party who is not an Authorized Vendor, nor has specific approval in writing from Blue Mantis Talent Acquisition to engage in recruitment efforts for Blue Mantis. At this time, we have no interest in onboarding any new staffing partners.

Job Description 2026 REFORM SUMMER INTERN JOB DESCRIPTION Job Title: Summer Intern Team: Community Engagement Location: New York City Employment Type: Part-Time FLSA Classification: Non-Exempt Start Date: June 22, 2026 Hiring Manager: Managing Director, Community Engagement Organization Overview REFORM, founded in the wake of the #FreeMeek movement, is committed to transforming probation and parole throughout the United States by changing laws, systems, and culture. The organization is working to replace America’s criminal justice system with a restorative approach that is fair, accountable, and invested in rehabilitation. Our goal is for people to reenter society with dignity, create meaningful pathways to work, and equip them with the tools to succeed all while making families and communities safer and stronger. REFORM Alliance operates as both a 501(c)(3) and 501(c)(4) organization, allowing us to drive meaningful criminal justice reform through a combination of charitable initiatives and advocacy efforts. About the Internship REFORM is seeking candidates for our 2026 summer internship program. The ideal candidate is passionate about criminal justice reform, a self-starter, and eager to learn in a team environment. People who have been directly impacted by or involved with the criminal justice system are encouraged to apply. The internship is a dynamic opportunity for interns to contribute meaningfully to our organizational objectives while gaining experience and mentorship in a collaborative and engaging environment. This is an hourly position. Interns will be compensated at an hourly rate for up to 20 hours per week and will gain hands-on experience through project-based work designed to build knowledge, practical skills, and professional development. Interns will also have exposure to organizational leadership and key initiatives, with focused opportunities to deepen their experience in either policy, marketing & communications, or community engagement. The internship will run from June 22 through August 14. Interns will work (in office) Monday through Thursday, 9:30 a.m. to 3:00 p.m., with a 30-minute lunch break (20 hours per week). Each intern will participate in weekly one-on-one meetings and have structured opportunities to engage with staff in a formal capacity. The program will culminate in a capstone presentation on the final day, during which interns will present to staff and summarize their projects, key learnings, and accomplishments. REFORM is seeking a total of six (6) interns: most likely three (3) in Policy, two (2) in Marketing & Communications, and one (1) in Community Engagement. Interns will be assigned to specific, project-based work within their respective focus areas. Below are examples of the type of work that the interns may be engaged in: A Policy Intern for REFORM Alliance, will have an opportunity to work on a variety of exciting projects that will help the intern develop strong policy skills, expose the intern to leaders in our field, and help further REFORM’s mission and organizational priorities. • Assess jurisdictions for alignment with the Work Matters policy framework – Building on the 50-state survey of occupational licensure systems, begin compiling a more holistic assessment of state alignment with the rest of the Work Matters policy framework., • Deep dive into financial burdens for supervision – Research monetary penalties (fees, etc.) and develop potential alternatives., • Research recent legislative supervision victories – Research and compile a database of significant legislative victories in the past 1-2 years to gain a greater understanding of the coalitions and institutional supports behind policy campaigns and the legislative process., • Supporting our County Initiatives Program – Research possible counties that would be supportive of REFORM’s work and partnership. Additionally, provide support to policy implementation in current partner jurisdictions through research and memoranda., • Data Science/Analysis – Write scripts to help automate updates for REFORM’s data dashboards, inclusive of our state work. Create a mapping of (and possibly scrapers for) state or county-level probation/parole reports. (Note: Internship candidates interested in this bucket of work should explicitly note this in their application and be prepared to demonstrate their experience supporting this level of work.) A Marketing & Communications Intern for REFORM Alliance, will have an opportunity to work on a variety of exciting projects that will help the intern develop strong marketing and communications skills, expose the intern to leaders in our field, and help further our mission and organizational priorities. Below are several project opportunities for interns who join the Marketing & Communications team for the summer: • Supporting national marketing campaigns – Assist with planning and executing campaigns across social media, email, and web platforms. Contribute to campaign coordination and help bring ideas to life by supporting day-to-day marketing and communications activities., • Content creation and storytelling – Develop content that tells compelling stories and connects with audiences across digital channels. Support the production of social media posts, graphics, emails, and other communications materials that translate complex policy issues into clear, engaging messages., • Digital marketing and analytics – Learn how digital tools such as email platforms, websites, and analytics systems work together to support campaigns. Track performance metrics (likes, clicks, and opens) and help identify opportunities to improve content and audience engagement., • Content production support (video & photo) – Assist with basic video production, editing, and photography for social and campaign content. Support behind-the-scenes content creation, help prep shoots, and learn how visual storytelling comes together from concept to final product., • Cross-team collaboration and communications – Work closely with policy, creative, and leadership teams to support messaging and communications strategies. Gain exposure to how communications efforts align with legislative priorities and organizational goals. A Community Engagement Intern for REFORM Alliance will have an opportunity to work across multiple projects that support our movement-building and grassroots engagement efforts. This role is ideal for someone interested in advocacy and community organizing and eager to learn how organizations build and sustain strong relationships with directly impacted individuals, advocates, and various stakeholders. Below are several project opportunities for interns who join the Community Engagement team for the summer: • Correspondence – Support the correspondence program by helping respond to communications from incarcerated individuals and their families. Assist with organizing, tracking, and managing outreach to ensure timely and thoughtful engagement with people seeking information and support., • Youth and campus engagement strategy – Develop and apply insights into how Gen Z engages with social impact issues to help build momentum on college campuses. Strengthen outreach strategies, identify opportunities for student engagement, and contribute ideas for campaigns, events, or partnerships that encourage young people to get involved in public safety efforts., • Strong written and verbal communication skills, • Demonstrated organizational and time-management skills, • Ability to work both independently and collaboratively in team settings, • Attention to detail and commitment to accuracy, • Proficiency in standard office software (e.g., Microsoft Office, Google Workspace), • Strong interpersonal skills and ability to build relationships with diverse stakeholders, • Commitment to the mission and values of the organization Policy Internship • Demonstrated coursework in topics concerning or intersecting with criminal justice policy (e.g., Political Science, Public Policy, Law, or a related field), • Experience working or volunteering with criminal justice advocacy organizations, reentry services for justice-impacted individuals, public policy, or government relations, • Knowledge of federal and state legislative processes, and familiarity with statutory code language, • Experience conducting research and analyzing data, • For Data Science internship, specifically:, • Currently pursuing a degree in Data Science, Statistics, Computer Science, Public Policy, Sociology, or a related field, • Proficiency in R strongly preferred; Python, SQL, or other data tools also welcomed, • Experience with data visualization libraries (e.g., ggplot2, Shiny, Matplotlib, Tableau, or similar), • Familiarity with statistical analysis and working with large or messy real-world datasets Marketing Communications Internship • Comfortable using Google Workspace (Docs, Slides, Sheets), • Familiar with social media platforms (Instagram, TikTok, LinkedIn, etc.), • Basic experience with Canva or similar design tools, • Interest in writing, storytelling, or content creation, • Strong communication skills (clear writing and speaking), • Organized and able to manage multiple tasks and deadlines, • Willingness to learn, take feedback, and try new things, • Able to work independently and as part of a team, • Curious about marketing, media, and how content connects with people Community Engagement Internship • Experience with community organizing, advocacy, or campus engagement, • Experience working or volunteering with justice-impacted communities, • Highly organized with the ability to manage correspondence, track outreach, and maintain accurate records, • Creativity and curiosity in identifying new ways to engage young people, particularly college students and Gen Z audiences, • Ability to think strategically about outreach, participation, and relationship-building, • Authorized to work in the U.S., • REFORM does not offer employment visa sponsorship, • Phone Screen with the Director, People & Culture & Managing Director, Community Engagement, • Interview with Department-Specific People Manager & Managing Director, Community Engagement COMPENSATION The salary for this hourly internship will be $17.50 per hour with a maximum of 20 hours per week (Monday-Thursday). These roles are not eligible for REFORM’s benefits programs. At REFORM Alliance, we strive to move hearts and minds to create a more humane criminal justice system. This requires a company culture that values employee individuality and community development. We are committed to fostering an environment that is inclusive, empowering, and globally minded. Reform Alliance is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, creed, religion, national origin, sex, sexual orientation, gender identity and expression, age, disability, veteran status, or any other protected factor. We encourage talented individuals of all backgrounds to apply Powered by JazzHR jqwihSdKfr

Job Description Good Apple is an independent agency driving an average +30% efficiency while making lives 100% easier. Built on the belief that big agency bureaucracy isn't necessary to drive scalable results, Good Apple operates as that group of friends you love to collaborate with whether you are an employee, agency, publisher, or client partner. As an Apple, you have a unique opportunity to truly create the destiny and pathway that fuels you each day and drives you to deliver the best results for yourself as well as your clients. As a Data Analyst, you will act as a strategic partner to your clients and media team, solving complex problems through metrics and analysis. Our Data Analysts have a curious, logical mindset with an interest in advertising and digital marketing analytics, working internally across disciplines to deliver the most impactful integrated media solution for our clients. Key Responsibilities: • Collaborate with internal teams to translate business needs into measurement plans and their implementations via website/ad-server tracking setups and data flows, • Democratize data and insights through data integration and the use of visualization tools, • Work with media teams to create marketing plans and ensure measurement requirements are built into the media structure, • Turn business requirements into metrics and implement tracking solutions to measure those metrics, • Learn what makes an effective media plan so you can be the voice of the data for the media teams and clients to guide media planning and optimization, • Build dashboards and supporting SQL database setups for weekly, monthly, and quarterly reports and analyses for clients, • Provide ad-hoc data science-driven regression analyses that discover the connections not discernible from a dashboard or spreadsheet, • Create clean, effective, and actionable presentations for clients and internal teams, • Excellent analytical skills and the ability to plainly communicate results to clients and internal teams, • Lead and contribute to processes (technical or business) improvements for reporting and analysis, • Bachelor's Degree with 3.0 or higher GPA or equivalent work experience, • 0-2 years of marketing or analytics experience, • Creative problem-solving skills and clear communication of results to a non-technical audience, • Excellent communication skills to both internal teams and clients – presenting to clients is an expectation, • Fast learner, comfortable using advanced SQL, experience working with data pipelines, understanding data architecture, • Experience working with 3rd party media tools such as Google Campaign Manager, data visualization tools (Looker, Tableau), Cloud DBs (Snowflake, Redshift), Pipeline tools (Rivery, Fivetran), and AI platforms (Data Robot, Dataiku), • Familiarity with tag managers, tagging implementation, website architecture, and CMS platforms is a plus, • Meticulous attention to detail, • Background in a logic-based field or experience in a logic-focused role is ideal, • Experience with Amazon Web Services is a plus Z8TdorkT0r

Job DescriptionAbout PayJoy PayJoy, a Public Benefit Corporation, is a mission-first credit provider dedicated to helping under-served customers in emerging markets to achieve financial stability and success. Our patented technology for secured credit provides an on-ramp for new customers to enter the credit system. Through PayJoy’s point-of-sale financing and card offerings, customers gain access to a modern quality of life. PayJoy’s credit also allows our customers to seize opportunities as micro-entrepreneurs, and acts as insurance for tough times. Through our cutting-edge machine learning, data science, and anti-fraud AI, we have served over 18 million customers as of 2025 while achieving solid profitability for sustainable growth. This role PayJoy is seeking a motivated Capital Markets Manager to join our Capital Markets team. The Capital Markets Manager will assist with equity and debt raises, developing banking and debt investor relationships, building and maintaining financial models and developing strategic analysis, preparing marketing materials, managing rating agency and investor due diligence, as well as contributing to high-impact strategic projects. The ideal candidate must have strong financial analysis experience, be highly motivated, comfortable with ambiguity, capable of taking initiative, and driving results while effectively partnering with various stakeholders across the organization. Experience with consumer finance, structured, and capital markets is strongly preferred. Role will be located in New York, and in office at least 3 days a week. Responsibilities * Build analytical models to evaluate product, country and capital structure decisions including cost of capital, advance rates and liquidity planning for review with senior leadership. * Coordinate with FP&A teams and build and update the company forecast model for investors, gain a deep understanding of the key drivers and conduct analysis as needed * Support and contribute to PayJoy’s funding strategy of the existing loan book in LatAm and expansion into new markets in Africa and Asia. * Assist with preparedness for new funding sources - including corporate debt, securitizations, forward flow arrangements, local country financing structures. Support structuring workstreams and coordinate with rating agencies, trustees, legal counsel, and other external deal parties as needed. * Monitor and manage performance of existing credit facilities, including covenant compliance, borrowing base reporting, and lender communications. * Assist in acquiring new funding partners, transaction execution, and relationship management * Conduct ongoing market research and competitive analysis on funding trends, spreads, and market conditions relevant to PayJoy's financing strategy. * Prepare marketing materials and other presentations and reports as required to run the business, including for equity and debt raises. Support investor relations - investor engagement, manage data rooms and periodic updates with risk teams. * Contribute on projects such as M&A, country expansion planning, new product launches, capital raises, and similar. * Simplify and improve processes, drive standardization and automation, and build scalable solutions to facilitate PayJoy’s future growth * Synthesize and distill key financial and business insights to senior stakeholders and leadership - identify key financial metrics, analyze results, assess risk and communicate risks & opportunities Requirements * Bachelor’s degree in Finance, Accounting, Economics, or related field. * Strong knowledge of accounting principles, capital markets, and financial planning * 3-5 years experience in capital markets, investment banking, consulting, corporate finance, FP&A or related fields. * Strong financial modeling; ability to build and maintain complex, dynamic models independently, including investor models, cash flow waterfalls, and scenario/sensitivity analyses. * Experience with structured finance products (ABS, whole loan sales, forward flow, warehouse facilities, HY bonds) is a plus. * Exposure to rating agency processes and credit structuring is a plus. * Experience in fintech, banking, or regulated industries is a plus * Knowledge of consumer lending products and fintech landscape is a plus * Team player who is able to collaborate across multiple groups internally, work on a variety of projects simultaneously and across multiple geographies. * Strong analytical aptitude and keen attention to detail * Excellent written and verbal communication skills in English, with the ability to communicate complex concepts effectively. * Creative, passionate about problem solving and solution orientation. * Fluent in Microsoft Office, SQL skills a plus. Python or other scripting/automation experience is a plus. * Spanish is a plus Benefits • 100% Company-funded health insurance for employee and immediate family, • Company-funded employee life and disability insurance, • $2,000 annual Co-working Travel perk, • $2,000 annual Professional Development perk, • $340 Monthly Commuter benefit, • 401k contribution of 3% of salary (up to IRS limits), • Headphone benefit, home office equipment allowance and wellness perks, • Catered lunches

Job Description About Synaptrix Labs Inc. Synaptrix is on a mission to revolutionize brain-computer interfaces through non-invasive approaches. We believe that the power to diagnose and treat neurological conditions safely, and to expand human potential, will become a reality with the right fusion of deep learning, signal processing, and computational neuroscience. We're seeking passionate, creative, and technically driven interns to join our team across multiple disciplines: Software Engineering, Hardware Engineering, Machine Learning Research, Industrial Design, and UI/UX Design. If you're excited about building the future of brain-computer interfaces and want to work at the intersection of neuroscience, AI, and human experience, we want to hear from you. Responsibilities: Depending on your background and interests, you may: • Contribute to development of real-time software systems for neural signal processing and data visualization., • Build and prototype non-invasive EEG-based BCI hardware, from electrode arrays to embedded microcontroller systems., • Design, train, and evaluate machine learning models for EEG/EMG decoding, denoising, and signal enhancement., • Develop intuitive interfaces and user experiences for individuals with mobility or communication impairments., • Collaborate with the design team to prototype wearable and ergonomic form factors for next-generation neurotech devices., • Support data collection and analysis in research sessions, assisting with experimental setup and instrumentation., • Participate in cross-functional design reviews and brainstorming sessions that bring together neuroscience, AI, and engineering., • Currently pursuing a Bachelor's or Master's degree in Computer Science, Electrical Engineering, Biomedical Engineering, Neuroscience, Mechanical/Industrial Design, or a related field., • Demonstrated experience with one or more of the following:, • Software: Python, C++, or JavaScript, • Machine Learning: PyTorch, TensorFlow, or JAX, • Hardware: Arduino, PCB design, or embedded systems, • Design: Figma, Fusion 360, SolidWorks, or similar tools, • Strong problem-solving ability and curiosity about neuroscience, AI, or human-machine interfaces., • Excellent communication and teamwork skills; thrives in a fast-paced, interdisciplinary environment., • Prior experience with EEG/EMG systems, biosignal acquisition, or data analysis., • Familiarity with deep learning for time-series or multimodal data., • Experience designing assistive devices, wearables, or medical technology., • Portfolio, GitHub, or research projects demonstrating creative technical work. At Synaptrix Labs, we celebrate curiosity, open collaboration, and scientific rigor. Our interdisciplinary team spans neuroscience, AI, and clinical research, and we are united by the belief that non-invasive BCI is the key to unlocking a new era in healthcare, accessibility, and human augmentation. As an intern, you'll work directly alongside engineers, researchers, and designers who are defining the next generation of brain-computer interfaces. You'll be encouraged to explore bold ideas, experiment freely, and take ownership of meaningful projects from day one. What We Offer: • Hands-on experience in one of the world's most exciting emerging fields: brain-computer interfaces, • Opportunity to contribute to technology that directly improves lives, • Mentorship from scientists, engineers, and founders building real neurotechnology products, • Dynamic NYC workspace blending lab, workshop, and creative studio environments, • Potential for full-time conversion after graduation

Job DescriptionAbout SmartAsset: SmartAsset is an online destination for consumer-focused financial information and advice, whose mission is helping people make smart financial decisions, reaching over an estimated 59 million people each month (as of January 2025) through our educational content and personalized calculators and tools. To extend our mission, we also operate SmartAsset Advisor Marketing Platform (AMP), which helps connect consumers with fiduciary financial advisors.SmartAsset has earned recognition on the Inc. 5000 (#2574 in 2023) and Deloitte Technology Fast 500™ (#250 in 2022) lists. Currently, SmartAsset ranks on Y Combinator's list of Top 100 Companies. A successful $110 million Series D funding round in 2021 valued the company at over $1 billion. *Other than application and licensing fees, SmartAsset did not provide compensation for the aforementioned awards. About the team: The Machine Learning Engineering team designs, builds, and integrates the core platform that unlocks cutting-edge capabilities for financial advisors, including features driven by generative AI. Our engineers are relentlessly evolving this platform, empowering groundbreaking applications and features that truly help financial professionals better connect with their clients and grow their businesses. About the Job: We are seeking a highly motivated and experienced Machine Learning Engineer to join our growing team. In this role, you will be instrumental in crafting and scaling foundational backend systems across predictive systems and generative AI. You will work across the entire software development lifecycle, from architectural design to deployment and ongoing operations, contributing significantly to our core infrastructure and data strategies, and working hand-in-hand with cross-functional partners like LLM Engineers, Product Owners, and Data Scientists to bring our vision to life. Responsibilities: • Design, develop, and maintain high-performance, scalable, and secure backend services, primarily using Python and frameworks like FastAPI, • Translate ambiguous business and technical requirements into concrete software designs and actionable tasks for cross-functional teams, • Work with OLTP databases, including schema design, migration strategies, and performance optimization, • Integrate SmartAsset services with internal and external APIs, including third-party platforms and existing AWS infrastructure, • Ensure secure ingress and egress of data within our private network environments, • Contribute to the design and implementation of our CI/CD pipelines to ensure continual improvements to our cycle time, • Manage and optimize AWS services, including IAM roles and policies, • Gain a deep understanding of how our Python applications integrate with our Kubernetes (EKS) and future ECS-based infrastructure, • Operate and maintain production applications at scale, ensuring high availability, performance, and reliability, • Design and implement data collection pipelines specifically for Large Language Models (LLMs), • Contributed to shared data architecture and data governance practices to ensure the persistence of structured data suitable for analytics and model training, • Explore, integrate, and tune various LLM-related technologies, such as Retrieval Augmented Generation (RAG) systems, and addressing potential scaling challenges, • Investigate and implement agentic technologies, such as tool calling frameworks (e.g., AutoGen), to enhance LLM capabilities, • Proven experience as a ML Engineer with a strong focus on Python development, • Experience with cloud platforms, specifically AWS, including IAM, EKS/ECS, and other core services, • Strong expertise with OLTP/relational databases such as Aurora, Postgres, MySQL etc, • Experience with DevOps toolsets such as Terraform, Open-Telemetry, etc. will be a big plus, • Strong experience in developing and maintaining large-scale, production-grade applications, • Experience in writing clean, maintainable, and testable code following best practices and industry standards, • Experience building integrations with internal and external service providers, • At least 5 years of relevant working experience., • Excellent communication skills, both written and verbal, • Experience with machine learning and deep learning frameworks such as TensorFlow, PyTorch, etc., • Experience with LLMs, RAG, embedding vector databases, or agentic technologies., • Familiarity with productionizing apps built with prototyping frameworks such as Streamlit or Gradio, • Knowledge of data governance and structured data principles, • Prolonged periods of sitting at a desk and working on a computer, • Must be able to communicate via phone calls and/or video conferences (mainly for concierge and sales roles) Available Benefits and Perks:, • All roles at SmartAsset are currently and will remain remote - flexibility to work from anywhere in the Contiguous US., • Medical, Dental, Vision - multiple packages available based on your individualized needs, • Life/AD&D Insurance - basic coverage at 100% company paid, additional supplemental available, • Supplemental Short-term and Long-term Disability, • FSA: Medical and Dependant Care, • 401K, • Equity packages for each role, • Time Off: Vacation, Sick and Parental Leave, • EAP (Employee Assistance Program), • Financial Literacy Mentoring Program, • Pet Insurance California, Colorado, Connecticut, Maryland, Nevada, Rhode Island, Washington, and New York City residents $137,000 - $180,000 + RSUs + benefits. Salary at SmartAsset is determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location within the contiguous United States.

Job DescriptionOn-site Position Who You Are You are an innovative and detail-oriented Full-Stack Engineer with a passion for building reliable, secure, and scalable applications. You thrive in complex enterprise environments, enjoy collaborating with diverse teams, and are committed to continuous learning and technical excellence. You’re someone who finds energy in problem-solving, optimizing cloud architectures, and delivering high-quality software that directly impacts millions of users. You take ownership of your work, enjoy mentoring others, and value process discipline — especially in environments that demand precision, performance, and compliance. If you want to grow with a mission-driven company, contribute to world-class projects with global clients like JP Morgan Chase, and help elevate Latin American tech talent to its fullest potential, this is the role for you. Who We Are MAS means “more” in Spanish — and that’s what we stand for. We believe in providing more opportunities, more inclusion, and more impact. Founded by a Latina engineer from Medellín and based in Tampa, Florida, MAS Global Consulting is a 100% Hispanic and woman-owned company, recognized as a Great Place to Work and one of the Fastest-Growing Companies in the US. We connect top Latin American talent with North American clients to build digital, data, and cloud solutions. Our teams are currently helping world-leading organizations like JP Morgan Chase, Johnson Controls, and Dell to modernize platforms, deliver innovation, and scale digital transformation. How You Will Make Impact As a Full-Stack Java Developer, you will design, build, and optimize microservices and customer-facing applications that process massive volumes of secure transactions daily. You will work directly with Chase engineers under a time-and-materials engagement, embedded in agile delivery teams. Your contributions will drive real impact by improving system performance, enhancing observability, and enabling data-driven financial solutions at scale. Key Responsibilities • Design and develop RESTful APIs and microservices using Java (11+), Spring Boot, and Spring Cloud frameworks., • Implement event-driven architectures with Kafka (producers, consumers, schema management, and streaming)., • Deploy and manage services on AWS ECS/Fargate, using Terraform or CloudFormation for Infrastructure-as-Code and Spinnaker for CI/CD automation., • Integrate and maintain data flows with Cassandra, AWS S3, or Spark-based pipelines., • Collaborate with frontend teams using React or Angular to deliver seamless, full-stack solutions., • Leverage Python for automation, data validation, or integration scripting (nice-to-have)., • Ensure quality through Test-Driven Development, automated testing, and continuous integration practices., • Partner with DevOps and QA teams to enhance resilience, scalability, and performance across distributed systems., • Participate in sprint planning, design reviews, and retrospectives while following Agile/Scrum practices., • Champion best practices in security, code quality, and documentation, ensuring compliance with Chase’s standards.You Have:, • BS/BA degree or equivalent experience in Computer Science, Engineering, or related field., • 7+ years of experience building enterprise-grade applications using Java / Spring Boot., • Proven experience developing and deploying microservices on AWS Cloud (ECS, Fargate, Lambda)., • Solid understanding of Kafka, Docker/Kubernetes, and distributed system design., • Hands-on experience with CI/CD pipelines (Spinnaker, Jenkins, or GitHub Actions)., • Experience with frontend frameworks like React or Angular for full-stack delivery., • Familiarity with Cassandra, SQL/NoSQL databases, and data streaming concepts., • Working knowledge of Python3 for automation or data processing (nice-to-have)., • Exposure to observability tools like Datadog, Splunk, or Dynatrace for monitoring and troubleshooting., • Experience working in Agile environments and collaborating in cross-functional teams., • Excellent communication skills — able to explain technical concepts to both engineers and product stakeholders.Bonus Skills (Nice to Have):, • Knowledge of Apache Spark, Flink, or data engineering concepts., • Familiarity with financial services, regulated environments, or compliance-heavy systems., • Experience integrating AI/ML-powered recommendation systems or event-driven personalization logic., • Awareness of performance testing, NFR validation, and resilience patterns (DLQ, retries, fallback).Benefits, • Health: Medical, dental, and vision coverage., • Time Away: Vacation, holidays, wellness days, and parental leave., • Financial: 401(k), basic life, and AD&D insurance. Powered by JazzHR eo3X22hHCS

Job DescriptionRadical AI, Inc. is an artificial intelligence company that is accelerating scientific research & development. We are at the forefront of innovation in the field of materials R&D, a critical driver for advancing our most cutting-edge industries and shaping the future. Breaking away from the traditionally slow and costly R&D process, Radical AI leverages artificial intelligence and machine learning to pioneer generative materials science. This innovative field blends AI, engineering, and materials science, revolutionizing how materials are created and discovered. Radical AI's approach speeds up R&D and addresses global challenges, setting new benchmarks in technology and sustainability. The opportunityAs an ML Engineer at Radical AI, you will be responsible for developing machine learning systems, data pipelines, and large-scale training infrastructure. You will orchestrate entire machine learning lifecycles, but also data ingestion, enrichment, model exporting and serving, and much more. Your work will directly impact the development of an end-to-end AI-driven approach to materials discovery and development. Positions are available at various levels of seniority: Senior, Staff, and Principal.Mission • Develop, train, and deploy machine learning models to solve complex problems in materials science and lab automation., • Experiment with cutting-edge ML algorithms and techniques to improve performance and scalability., • Collaborate with researchers on the pre- and post-training stages of model development., • Conduct production-level deployments of our machine learning models and infrastructure., • Continually evaluate model performance and maintain production integrity., • Ensure reproducibility and traceability of models by leveraging version control systems and orchestration tools., • Contribute to research initiatives and participate in knowledge-sharing across teams., • Document workflows, experiments, and deployment procedures for future reference., • Tackle challenging problems with new and different ideas, creativity and contrarian thinking., • Mentor and guide junior team members and interns, promoting an environment of continuous learning and innovation.About you, • Ph.D., M.S., or B.S. in Computer Science, AI, Machine Learning, Applied Maths, Engineering or a closely related field, or equivalent practical experience., • Proven record of accomplishment in building machine learning systems, working with large generative and/or language models, • An excellent understanding of machine learning infrastructure and systems fundamentals., • Strong background in algorithms, data structures, and software engineering principles., • Working knowledge of various generative AI architectures, including transformers, diffusion models, CNFs, and flow matching., • Proficiency in Python and relevant ML libraries (e.g., PyTorch), as well as tools for deploying ML models (e.g., MLflow, K8s, Docker)., • Passion for staying current with the latest trends in AI/ML technologies., • Excellent collaboration and communication skills, capable of articulating complex technical ideas clearly and effectively.Pluses, • Familiarity with distributed computing frameworks such as Ray, Spark, etc., • Strong fundamental knowledge and practical experience using Linux systems, including working with large-scale computing clusters., • Hands-on experience with MLOps tools (e.g., Kubeflow, Seldon, CI/CD pipelines for ML)., • Familiarity with serverless architecture and cost optimization for ML workflows., • Strong publication record in top-tier AI/ML conferences or journals.What we offer, • A competitive compensation package also includes the best in benefits:, • Medical, dental, and vision insurance for you and your family, • Mental health and wellness support, • Unlimited PTO and 14+ company holidays per year, • 401K, • Work closely with a team on the cutting edge of AI research. Disclosure Radical AI is committed to equal employment opportunity regardless of race, color, ancestry, national origin, religion, sex, age, sexual orientation, gender identity and expression, marital status, disability, or veteran status.

Job Description About Voyant Photonics Voyant Photonics, based in the heart of New York City, is transforming machine perception with a new class of LiDAR devices that are compact enough to fit in the palm of your hand and powerful enough to measure range, velocity, and reflectivity with unparalleled accuracy. By leveraging cutting-edge silicon photonic chips smaller than your fingertip, we deliver sensors that are not only revolutionary in performance but also affordable enough to integrate into any system. Our technology disrupts the status quo of bulky, expensive, and power-hungry LiDAR systems, making high-precision sensing accessible for widespread adoption in robotics, autonomous vehicles, drones, industrial automation, and beyond. With Voyant, the next generation of machines can see, understand, and navigate the world like never before. Discover how we’re redefining what’s possible by making real products out of cutting edge research in silicon photonics. The Opportunity We are seeking a Senior Engineer with a strong background in Embedded Systems to join our engineering team. In this critical role, you will be instrumental in designing, developing, and optimizing the embedded software interfaces that power our advanced FMCW LiDAR. You will work across the entire product lifecycle, from architecture to implementation, testing, and deployment. If you are passionate about building robust, real-time embedded systems for groundbreaking LiDAR technology and thrive in a collaborative, fast-paced environment, we encourage you to apply. Key Responsibilities * Design, develop, and optimize embedded software and firmware for real-time operation of LiDAR systems * Collaborate closely with hardware engineers, optical engineers, and signal processing experts to define system requirements, integrate hardware and software components seamlessly, and ensure optimal system performance * Develop and implement APIs for both prototypes and products for embedded imaging sensors * Implement 3D data visualization for lidar data from our sensors * Optimize embedded code for performance, memory usage, and power consumption * Contribute to system-level architecture discussions, identifying key trade-offs and proposing innovative solutions. * Design and implement efficient monitoring and control algorithms Required Qualifications * Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field. * Strong proficiency in C/C++ for embedded systems development. * Experience with performant data serialization protocols * Experience with live visualization of complex data sets * Proficiency with version control systems (e.g., Git). Preferred Qualifications * Experience with protocols for inter-component communication (e.g., Ethernet, SPI, UART) * Familiarity with various microcontroller architectures (e.g., ARM Cortex-M/R/A, DSPs) and System-on-Chips (SoCs). * Experience with FPGA/CPLD development (VHDL/Verilog) and hardware description languages is a strong plus. * Experience implementing DSP algorithms in embedded C++ Linux environments * Experience with PCL or ROS2 * Experience with Python for scripting, testing, and data analysis. * Knowledge of sensor fusion techniques. Benefits package * Competitive salary and meaningful equity package * Comprehensive health benefits (Medical, Dental, Vision) * Unlimited PTO and paid company holidays * Team events and company meetups * Hybrid or remote work environment with monthly travel for remote employees. * Complimentary lunch provided daily at our NYC office Equal Opportunity Employer Voyant Photonics is an equal opportunity employer committed to building a diverse and inclusive workplace. We welcome applicants from all backgrounds and do not discriminate based on race, color, religion, gender, gender identity or expression, sexual orientation, pregnancy, marital or partnership status, age, national origin, citizenship, veteran or military status, disability, medical condition, genetic information, caregiver status, or any other characteristic protected by law.

Job Description The Product Engineer, Global Credit Technology is a hands-on engineering role focused on building and scaling business-critical applications for Carlyle’s Global Credit platform. This role partners closely with investment professionals and business stakeholders to design, develop, and deliver high-quality software solutions that improve credit workflows, analytics, and decision-making. This engineer owns features end-to-end across backend services, frontend applications, and applied AI capabilities where appropriate. The ideal candidate combines strong technical execution with sound product judgment, is comfortable working in ambiguous problem spaces, and thrives in a business-embedded engineering model. Requirements: • 8 years of overall relevant software engineering experience, showing longevity within roles, • Bachelors Degree in Computer Science, • Experience with a strong focus on application development coding i either Python or React as primary language, • Experience developing or integrating AI-enabled applications, including familiarity with LLMs and orchestration frameworks (LangChain, LlamaIndex) or working on own AI personal projects, but must be able to share production ready based AI functionality capabilities, • Prior experience or exposure to the alternative asset management or financial services industry, preferred, • Experience working with and coordinating offshore development teams, • This resource will be working closely with the Credit business users and offshore development teams - strong problem-solving and communication skills are a must, • Ownership driven with a proven background in delivering end-to-end solutions Company DescriptionAtlas Search is an executive recruiting firm dedicated to placing accounting, finance, middle office, information technology, human resources, and office / accounting support professionals. Our clients range from Fortune 500 to start-ups and we service all industries ranging from Financial Services to Media & Entertainment. We were founded on the principle of relationships; our firm has been built on partnering with candidates and clients with a focus on their long-term interests. We provide Technology professionals like yourself on a permanent basis for our clients across all industries. Specialties include: Software Engineers, Web Developers, iOS/Android Engineers, Data Analysts, Business Intelligence, Data Engineers, Data Scientists, Help Desk/Desktop Support, Systems Administrators/Engineers, Network Administrators/Engineers, Cloud/DevOps Engineers, Application Support, Business Analysts, Project Managers, IT Managers, CTOs, etc.Atlas Search is an executive recruiting firm dedicated to placing accounting, finance, middle office, information technology, human resources, and office / accounting support professionals. Our clients range from Fortune 500 to start-ups and we service all industries ranging from Financial Services to Media & Entertainment. We were founded on the principle of relationships; our firm has been built on partnering with candidates and clients with a focus on their long-term interests. We provide Technology professionals like yourself on a permanent basis for our clients across all industries. Specialties include: Software Engineers, Web Developers, iOS/Android Engineers, Data Analysts, Business Intelligence, Data Engineers, Data Scientists, Help Desk/Desktop Support, Systems Administrators/Engineers, Network Administrators/Engineers, Cloud/DevOps Engineers, Application Support, Business Analysts, Project Managers, IT Managers, CTOs, etc.

Job DescriptionRadical AI, Inc. is an artificial intelligence company that is accelerating scientific research & development. We are at the forefront of innovation in the field of materials R&D, a critical driver for advancing our most cutting-edge industries and shaping the future. Breaking away from the traditionally slow and costly R&D process, Radical AI leverages artificial intelligence and machine learning to pioneer generative materials science. This innovative field blends AI, engineering, and materials science, revolutionizing how materials are created and discovered. Radical AI's approach speeds up R&D and addresses global challenges, setting new benchmarks in technology and sustainability. The opportunityAs an AI Researcher specializing in generative models for materials discovery at Radical AI, you will help the development of the first commercial foundation model for materials science. Your role involves pioneering the application of generative models in the field of materials science, in particular by leveraging flow matching, diffusion, and LLMs. You will develop novel models and training techniques tailored for atomistic data in materials science. Your responsibilities include designing and conducting large-scale experiments to validate the most promising approaches in generative modeling. Collaborating closely with our engineering and computational materials science teams, you will play a crucial role in transitioning state-of-the-art models from research to production. Your expertise will contribute to the broader research community through publications in top-tier AI/ML venues like NeurIPS, ICML, and ICLR, alongside active participation in conferences and workshops. This role offers the unique opportunity to mentor and guide junior members of our technical team and research interns, fostering a culture of growth and innovation. Positions are available at various levels of seniority: Senior, Staff, and Principal.Mission • Lead and develop our generative foundation models in materials discovery., • Work in collaboration with various teams, in particular the quantum chemistry team, the atomistic simulation team, the engineering team, and the experimental team., • Conduct large-scale experiments to validate and refine promising approaches, collaborating closely with engineers to implement these models in production., • Develop rigorous benchmarks to validate and test the performance of our models., • Contribute to the AI and materials science research community through publications and active engagement in top-tier AI/ML venues like NeurIPS, ICML, ICLR, and our company blog, alongside active participation in conferences and workshops., • Tackle challenging problems with new and different ideas, creativity and contrarian thinking., • Mentor and guide junior team members and interns, promoting an environment of continuous learning and innovation.About you, • Ph.D., M.S., or B.S. in Computer Science, AI, Machine Learning, Applied Maths, or a closely related field, with a strong focus on deep learning and generative models., • At least 3 years of research experience in AI, with a proven track record in generative modeling, particularly in fields adjacent to materials science., • Working knowledge of various generative AI architectures, including transformers, diffusion models, CNFs, and flow matching., • Demonstrated experience in designing and running large-scale experiments in AI and machine learning., • Passionate about leveraging ML for science related problems and a commitment to doing world-class research., • Proficiency in Python and relevant ML libraries (e.g., PyTorch)., • Strong publication record in top-tier AI/ML conferences or journals., • Excellent collaboration and communication skills, capable of articulating complex technical ideas clearly and effectively.Pluses, • Prior experience in transitioning AI research into production environments., • Active involvement in the AI research community, with contributions beyond publications, such as organizing workshops or giving talks at conferences.What we offer, • A competitive compensation package also includes the best in benefits:, • Medical, dental, and vision insurance for you and your family, • Mental health and wellness support, • Unlimited PTO and 14+ company holidays per year, • 401K, • Work closely with a team on the cutting edge of AI research. Disclosure Radical AI is committed to equal employment opportunity regardless of race, color, ancestry, national origin, religion, sex, age, sexual orientation, gender identity and expression, marital status, disability, or veteran status.

Job DescriptionBrooklyn Investment Group is an SEC-registered Investment Adviser that leverages the technology of its parent company, Brooklyn Artificial Intelligence Research. This technology is combined with institutional-grade portfolio optimization and automated tax-loss harvesting to power personalized portfolios for our clients, including financial advisory firms and asset managers. Over the past five years, Brooklyn Artificial Intelligence Research has developed one of the most powerful engines for customizing investment portfolios and more than $5 billion has been traded on its portfolios to date. Our growing team of 20+ quant investors, machine learning researchers, and software engineers comes from top universities and financial institutions such as Goldman Sachs, Citadel and Bridgewater Associates. Opportunity If you’re interested in the growing intersection of finance and technology, this opportunity offers a unique value proposition. At Brooklyn, we are firm believers in the transformative potential of technology to revolutionize portfolio management and trade execution. We are dedicated to architecting one of the most cutting-edge portfolio management platforms in the industry. As a Portfolio Management Engineer, you will play a crucial role as the primary liaison for our clients, operational partners, and custodians. Your core responsibilities will involve developing tech-forward tools to optimize portfolio management, trade execution, and reconciliation processes. You'll collaborate closely with teams across quant, engineering, research, and trading to ensure seamless workflows and innovation.Responsibilities • Ongoing Portfolio Management: Act as a bridge between portfolio management and trading teams, serving as the primary point of contact for operational partners and custodians, lending to smooth coordination and execution of trades., • Platform Enhancements: Take part in the implementation of enhancements to the portfolio management platform, utilizing stakeholder feedback and industry benchmarks to enhance functionality, reliability, and scalability, all while maintaining a top-notch user experience., • Collaborative Coordination: Coordinate closely with portfolio construction teams to ensure alignment between client objectives and investment strategies, facilitating a seamless experience for clients throughout the investment lifecycle., • Client Service: Serve as a primary point of contact for clients regarding portfolio management, trading, and reporting, offering timely updates and addressing any inquiries or concerns to maintain a high level of client satisfaction.Skills & Experience Core, • Professional Experience: Two or more years of professional work experience in equities portfolio management or investment operations., • Education Background: Bachelor's or Master’s degree from a leading institution in a quantitative discipline, such as mathematics, natural sciences, engineering, computer science, or economics., • Proficiency in Python: Demonstrate an advanced level of skill in Python programming. Follow industry best practices in software development, ensuring code is clean, modular, and efficient., • Professional Attributes: Desire to work in a fast-paced environment with meticulous attention to detail, striving to stay at the forefront of innovation in investment management.

Job Description CVector’s mission is to bring real time economic optimization and AI prediction to every energy and manufacturing plant. Industrial facilities make decisions every minute that determine cost, reliability, and margin, but the signals that matter live in different worlds: live asset constraints and process reality on one side, feedstock prices, product prices, demand, and market dynamics on the other. We fuse those worlds into one decision layer that continuously forecasts what is coming, simulates what could happen, and optimizes what to do next, so plants can run closer to their true economic potential every day. This position works from our New York City office four days per week. CVector has customers across the United States and operates real-world systems in demanding industrial environments. Role Overview As a Full Stack Software Engineer, you will improve and expand CVector's web applications, back-end data-flow, and industrial gateways. Your work will deliver robust, intuitive user experiences, including real-time data visualization, adaptable to diverse environments such as power generation stations and chemical plants. This role requires a passion for shipping high-quality, user-centered products. You should possess a startup mentality, meaning the ability to rapidly acquire new skills and comfortably contribute across the entire software stack. You will collaborate closely with the engineering team and have opportunities to take initiative and leadership in various projects. Responsibilities As a Full Stack Software Engineer, you will drive CVector's SaaS product forward by fulfilling the following responsibilities: • Collaborate with the engineering team to design, implement, and deploy features and bug fixes across the full software stack, • Develop real-time data visualization tools and dashboard builder, • Ensure high quality through the development and maintenance of automated unit, integration, and end-to-end tests, • Participate in an on-call rotation to support system reliability, • Actively pursue opportunities for professional growth and skill enhancement Our software stack includes Python, Typescript, React, Supabase, MQTT, Figma, Arco Design, TigerData, PostgreSQL, hosted on AWS and managed with GitHub. You will use and develop expertise with these technologies. The successful candidate for Full Stack Software Engineer will possess the following traits and qualifications: • Relevant engineering degree(s) or equivalent professional experience demonstrating a strong foundation in computer science, • Experience developing software with Python and/or Typescript, • Familiarity with modern web frameworks, databases, cloud infrastructure, and real-time data visualization libraries, • Strong communication and collaboration skills CVector provides team members with: • A competitive compensation package with meaningful equity upside, • A robust selection of health, dental, and vision insurance options, • Optional Health Flexible Spending Account (FSA), • Unlimited PTO with a three week minimum per year, plus additional sick days, • Top of the line work equipment and IT setup, including high performance laptops and a modern developer stack, • Unlimited access to the latest AI agent systems and productivity tools to help you move faster and build better, • Visa support for candidates currently based in the US, including employer sponsored visa applications where applicable The anticipated base salary range for this role is $105,000 to $115,000.

Job DescriptionDescription: Hybrid 4 in New York, NY Our client is seeking a senior full-stack developer at the SVP level to design and build core equities engineering services that power real-time trading workflows. The role focuses on backend Java, Spring Boot, distributed systems, and messaging with Kafka or MQ to drive scalability, latency, and resiliency. You will modernize legacy components into cloud-native microservices, integrate AI-assisted development practices, and mentor developers while delivering mission-critical enhancements and support. Due to client requirements, applicants must be willing and able to work on a w2 basis. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance. Rate: $95.00 to $105.00/hr. w2 JN -052026-106972 Responsibilities: • Design and build trading and messaging channels interfacing with venues and exchanges using industry-standard protocols., • Operate mission-critical systems and deliver day-to-day enhancements across front office and operations., • Design and develop core Java components leveraging messaging systems such as Kafka and MQ., • Coordinate and execute internal system testing procedures., • Collaborate across platform teams within a platform operating model., • Deliver and maintain applications within the equities domain with a focus on reliability and performance., • Provide second-level production support and troubleshoot issues under pressure., • Mentor junior developers and contribute to engineering best practices., • Re-engineer and modernize the platform toward scalable microservices and cloud-based architectures., • 10+ years of software development with strong proficiency in Java, SQL, and Git., • 10+ years in business analysis and trading systems analysis or administration., • Strong experience with messaging and data protocols including Kafka and MQ; familiarity with FIX and FpML., • Proficiency with Spring, Spring Boot, and Spring Integration., • Proficiency in data standards and data modeling., • Comfort with cloud environments and DevOps practices including build, deploy, debug, and pipelines., • Familiarity with Windows and Linux environments., • Knowledge of equity products and instruments., • Familiarity with AI coding-assist tools such as GitHub Copilot, Cursor, Windsurf, or Claude Code., • Experience operating distributed, real-time systems with a focus on scalability, latency, performance, and availability., • Production support experience with strong troubleshooting and debugging skills., • Experience with application profiling and performance tuning., • Experience with order management systems and smart order routing (preferred)., • Experience managing trade data feeds and downstream integrations (preferred)., • Understanding of equities trade life cycles (preferred)., • Understanding of the regulatory landscape from a developer perspective (preferred)., • Familiarity with Angular and Python (preferred)., • Experience with in-memory caching such as Hazelcast, Redis, or GemFire (preferred)., • Experience with monitoring and observability tools such as Splunk (preferred)., • Cloud architecture and scalability design experience (preferred)., • Hands-on FIX protocol experience (preferred). W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality. If anyone reaches out to you about an open position connected with Eliassen Group, please ensure that you are working directly with us by confirming the following: · When you work with Eliassen Group, all email communication will come from an Eliassen.com address, never Gmail, Yahoo, etc. · Eliassen Group will never ask you for personal information (home address, bank account, or check routing number) until you have worked with someone clearly associated with Eliassen Group. If you have any indication of fraudulent activity, please contact . About Eliassen Group: Eliassen Group is a strategic consulting firm that helps organizations reach further and achieve more through our technology, business advisory, and life sciences solutions. For nearly 40 years, we have combined exceptional people, deep domain expertise, and intelligent capabilities to expand our clients’ capacity and accelerate meaningful outcomes. We are driven by a purpose to positively impact the lives of our employees, clients, consultants, and the communities we serve. Eliassen is committed to building a diverse and inclusive team from a variety of backgrounds, perspectives, and skills. We are an Equal Opportunity and Affirmative Action Employer and all employment decisions are based on merit, performance, and business needs. Eliassen does not discriminate on the basis of race, color, gender identity or expression, sexual preference or orientation, sex (including pregnancy, childbirth, and related medical conditions), marital status, creed, religion, physical or mental disability, genetic information, military or veteran status, age, ancestry, national origin, citizenship status, prohibited criminal record inquiries of applicants and employees, or any other category protected by federal, state, or local laws. Don’t miss out on our referral program! If we hire a candidate that you refer us to then you can be eligible for a $1,000 referral check!

Job Description CVector’s mission is to bring real time economic optimization and AI prediction to every energy and manufacturing plant. Industrial facilities make decisions every minute that determine cost, reliability, and margin, but the signals that matter live in different worlds: live asset constraints and process reality on one side, feedstock prices, product prices, demand, and market dynamics on the other. We fuse those worlds into one decision layer that continuously forecasts what is coming, simulates what could happen, and optimizes what to do next, so plants can run closer to their true economic potential every day. This position works from our New York City office four days per week. CVector has customers across the United States and operates real-world systems in demanding industrial environments. Role Overview As a Senior Full Stack Software Engineer, you will play a key role in designing, building, and evolving CVector’s core platform—including our web applications, back-end data pipelines, and industrial gateways. You will help deliver robust, intuitive user experiences centered around real-time data visualization and operational insight, deployed in demanding environments such as power generation facilities and chemical plants. This role requires strong technical judgment, a bias toward shipping high-quality software, and a product-oriented mindset. You should be comfortable working across the stack, learning new technologies quickly, and taking ownership of complex problems in a fast-moving startup environment. You will collaborate closely with other engineers and will have opportunities to lead technical initiatives and influence architecture and product direction. Responsibilities As a Senior Full Stack Software Engineer, you will: • Lead development of real-time data visualization platform to create beautiful data visualizations and integrate inspiring AI-driven insights, • Design, implement, and deploy features and bug fixes across the full software stack, from front-end UI to back-end services and data stores, • Collaborate with product and design to translate user needs into well-scoped, high-quality technical solutions, • Ensure system reliability and maintainability through automated unit, integration, and end-to-end testing, • Participate in an on-call rotation and help improve operational tooling and observability, • Contribute to technical decision-making, architecture discussions, and code reviews, • Mentor junior engineers and help raise the overall quality and velocity of the team Our current technology stack includes Python, TypeScript, React, Supabase, MQTT, Figma, Arco Design, TigerData, PostgreSQL, and AWS, with development workflows managed through GitHub. A strong candidate will bring: • A relevant engineering degree or equivalent professional experience demonstrating a solid foundation in computer science, • 5+ years experience developing production software using Python and/or TypeScript, • Experience building modern web applications with front-end frameworks (e.g., React) and back-end services, • Familiarity with cloud infrastructure, databases, and real-time or event-driven systems, • Experience with data visualization, dashboards, or complex UI state is a strong plus, • Strong communication skills and the ability to collaborate effectively in a remote-first team, • Comfort working in a startup environment with evolving requirements and high ownership CVector provides team members with: • A competitive compensation package with meaningful equity upside, • A robust selection of health, dental, and vision insurance options, • Optional Health Flexible Spending Account (FSA), • Unlimited PTO with a three week minimum per year, plus additional sick days, • Top of the line work equipment and IT setup, including high performance laptops and a modern developer stack, • Unlimited access to the latest AI agent systems and productivity tools to help you move faster and build better, • Visa support for candidates currently based in the US, including employer sponsored visa applications where applicable The anticipated base salary range for this role is $125,000 to $150,000.

Job Description Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner. We are looking for someone with a good blend of business consulting skills and a data analytics background. If you are passionate to work on unstructured business problems that can be solved using data, we would like to talk to you. RESPONSIBILITIES: • Work on the latest applications of data science to solve business problems in Pharma and Lifescience domain, • Work directly with client stakeholders to translate business problems into high-level analytics solution designs, • Knowledge of advanced analytics approaches and methodologies and best practices of leveraging data to drive informative decisions, • Proficiency in using advanced analytics to drive business value including ROI/value assessment, digital KPI tracking, campaign measurement, etc, • Experience in generating insights from reports and summarizing for brand teams, • You will be responsible for account management, client relationships, and account growth, • You will be responsible for scaling pilots / POCs to a long-term transformative program and delivering continuous business value, • Fluency with pharma data sources such as Veeva and IQVIA (Plantrak, LAAD, PE, etc) including RWD sources such as TriNetX, Flatiron, Optum, Komodo etc., • Experience working with all levels of management and consulting with key business stakeholders., • Present analytic solutions to business audiences highlighting robustness of the solution and how it could help generate business value, • Responsible for making presentations to senior management, communicating results to business teams, and develop plans to help operationalize analytics solution, • 10-16 years of professional work experience with at least 9 years in data analytics, • Deep understanding of pharma dataset, KPIs, and insight needs across different HQ and field personas across commercial, PSS, and market access, • Ability to engage with executive/VP level stakeholders from client’s team to translate business problems to high level analytics solution approach, • Strong knowledge of Life Science and Pharma domain, • Experience in specialty drug and rare diseases, • Strong project management and team management skills and ability to work with global teams, • Strong SQL skills and hands-on experience with analytic tools like R & Python & visualization tools like Power BI or Tableau, • Strong understanding of standard data sources—especially pharmacy, HUB, CRM, IQVIA, alignments, and related datasets—along with the nuances and quality controls required to ensure accuracy, • Experience in developing hypotheses and validating them through data analysis to identify and investigate trends, • Experience in building and maintaining reports, with a focus on optimizing effort through automation, • Experience in managing large accounts and active involvement in account growth. P&L ownership in the past would be an added advantage 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. 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.

Job DescriptionBeghou brings over three decades of experience helping life sciences companies optimize their commercialization through strategic insight, advanced analytics, and technology. From developing go-to-market strategies and building foundational data analytics infrastructures to leveraging artificial intelligence to improve customer insights and engagement, Beghou helps life sciences companies maximize performance across their portfolios. Beghou also deploys proprietary and third-party technology solutions to help companies forecast performance, design territories, manage customer data, organize, and report on medical and commercial data, and more. Headquartered in Evanston, Illinois, we have 10 global offices. Our mission is to bring together analytical minds and innovative technology to help life sciences companies navigate the complexity of health care and improve patient outcomes. This position leads client projects in the conception, execution, and delivery of Master Data Management (MDM) systems for the commercial efforts of pharmaceutical and life science firms. Additionally, this position leads client interactions regarding existing and future MDM projects and identifies areas for future growth. We'll Trust You To: • Oversees and develops MDM projects to ensure methodological soundness; consistently delivers quality client services and drives high-quality work products within expected timeframes and on budget., • Leads project teams in the design and development of MDM projects, including the design and configuration of internal MDM platform and creation of MDM specific deliverables., • Advises on strategy, team resources, and deadlines, and assumes data investigation and platform configuration tasks as necessary to support internal team and clients., • Works with project leadership to define project scope and development approach for each project, including conducting issue analysis and hypothesis development., • Synthesizes findings, develops recommendations, and communicates results to clients and internal teams., • Assumes project management responsibilities for MDM implementation on each project with minimal supervision, including managing client communication, leading meetings, drafting agendas, managing timelines and serving as a regular point of contact for clients., • Works independently or with a team to build out data processes., • Coordinates with diverse teams, including those globally., • Frequently utilizes coding to facilitate data processing and reporting., • Provides project leadership for team members regarding process improvements, planned approaches for client requests, or transition of new deliverables., • Monitors progress, manages risk and ensures key stakeholders are kept informed about progress and expected outcomes; manages project finances by maintaining financial summaries, drafts SOWs for new work, and manages client invoices., • Assists in supporting management, including promoting employee engagement, recruiting, training, and providing ongoing education, employee mentorship and coaching; contributes to internal initiatives as needed., • Fosters an innovative and inclusive team-oriented work environment., • Coaches and mentors junior team members on their professional development and serves as their Professional Development Manager., • Grows external client engagements, owning aspects of the relationship between the client and the firm. These essential functions are not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required. Duties, responsibilities, and activities may change or new ones may be assigned at any time with or without noticeYou'll need to have:, • Bachelor’s or advanced degree with at least 8 years of relevant professional experience., • Experience implementing or supporting HCP, HCO, and payer MDM or other centralized data management solutions in the US pharmaceuticals market, • MDM experience in Oncology therapeutic area preferred, • CDW experience in US Pharmaceuticals market preferred, • Proficiency using Microsoft Office products, such as PowerPoint and Word; advanced Excel skills required., • Coding skills in Python, R or SAS required, • Advanced analytical and problem-solving skills., • Excellent verbal and written communication skills., • Strong organizational and time management skills., • Effective project management and people management skills., • Ability to work effectively with others and adapt quickly. 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.

Job DescriptionDescriptionBe Part of the Team Behind the Game Are you ready to bring your network expertise to the global stage of one of the biggest professional sports leagues in the US? Blue Mantis is seeking a highly skilled and versatile, Swiss Army Knife Network Systems Engineer to support enterprise-class data centers and ensure seamless network operations. This role focuses on ensuring high availability and performance of network infrastructure while contributing to game-day success. The ideal candidate will be a proactive and adaptable professional with a passion for innovation, an ability to multitask and reprioritize in real-time and a commitment to delivering excellence in a fast-paced, mission-critical environment. This candidate will be proficient in supporting server and cloud environments but should also have experience with networking as this team will be supporting a wide array of technologies to support the company infrastructure and game day operations. If you thrive under pressure and excel at managing complex technical challenges, this is your opportunity to make an impact. Working for Blue Mantis at this customer, you’ll operate in a high-pressure, high-reward environment, directly impacting game-day success and ensuring a successful fan experience. Bring your technical prowess, leadership and passion for innovation to the league’s fast-paced and mission-critical IT environment. Work Schedule includes working Weekends and Holidays. Onsite Schedule: 1st Shift 7AM to 4PM Days Onsite: Friday/Saturday/Sunday/Monday/Tuesday Key Responsibilities * • Server Administration: Manage and maintain Windows, Linux, and Unix environments to ensure optimal performance., • Cloud Operations: Administer cloud platforms including AWS, Azure, and O365 for enterprise workloads and containerization., • Virtualization: Manage, configure, and troubleshoot VMware-based environments to ensure optimal performance, scalability, and availability of virtualized infrastructure., • System Monitoring: Leverage platforms such as SolarWinds and DataDog to ensure network reliability and performance., • Incident Management: Lead network-related incident resolution, ensuring SLAs are met and escalating issues when necessary., • Security Best Practices: Implement and support secure networking solutions, ensuring robust protection in on-premise and cloud environments., • Documentation: Create and maintain detailed network documentation, including topology maps and procedures for troubleshooting. Skills, Knowledge and ExpertiseRequired Skills • Strong experience Cisco Nexus/Arista/Meraki Switches, Cisco Wireless Controllers, Windows, Linux, and Unix environments using the ServiceNOW ticketing system., • Strong experience in NOC operations with expertise in Windows, Linux, and Unix environments using the ServiceNOW ticketing system., • Hands-on experience with cloud platforms (AWS, Azure, O365, VMware) and virtualization/containerization technologies., • Backup and DR Support: Experience supporting and troubleshooting backup and disaster recovery solutions such as Rubrik and Zerto, ensuring data protection and system resilience., • Hands-on experience with firewalls, routing protocols, and network monitoring tools like SolarWinds., • Familiarity with automation tools and scripting, • Excellent problem-solving skills with the ability to adapt to dynamic priorities.Preferred Skills, • Network troubleshooting in data center environments. (Cisco, Palo Alto, Meraki), • Proficiency in scripting languages (Python, PowerShell, Bash) for automating server and cloud operations., • Familiarity with cloud-based networking solutions in AWS, Azure, or O365 environments., • Knowledge of infrastructure capacity planning and performance tuning., • Knowledge of Kubernetes, Docker, and container orchestration for managing distributed applications., • Familiarity with security best practices, SIEM platforms, and endpoint protection., • Experience with advanced video streaming technologies and CDNs., • Familiarity with infrastructure performance tuning and capacity planning.Qualifications, • Provide game day support on major holidays when games are played., • Education: Bachelor’s degree in Computer Science, Information Technology, or equivalent hands-on experience., • Certifications: CCNA, CCNP (or equivalent) ITIL and technical certifications in, servers and/ or cloud (preferred)., • The unique opportunity to be part of the league’s technological foundation., • A challenging, high-energy workplace with direct impact on game-day success., • Hands-on experience with cutting-edge technologies in a mission-critical environment., • Opportunities for growth, learning, and professional development.Agencies/3 Parties may not solicit to any employee of Blue Mantis. Any candidate information received from any Agency/3 Party will be considered a gift and property of Blue Mantis, unless the Agency/3 Party is an Authorized Vendor of Blue Mantis with an up-to-date Blue Mantis Contract in hand signed by Blue Mantis Talent Acquisition. No payment will be made to any Agency/3 Party who is not an Authorized Vendor, nor has specific approval in writing from Blue Mantis Talent Acquisition to engage in recruitment efforts for Blue Mantis. At this time we have no interest in onboarding any new staffing partners.

Job DescriptionSamba is a media intelligence company. We know what the world is watching, reading, and thinking about — in real time, at scale, across every screen. Our data exists with the consent of over a billion people, organized into the most complete picture of consumer attention ever built. The biggest brands in the world use that picture to make smarter decisions. We think it’s the most interesting data asset on the planet, because it’s the most culturally relevant. Samba is building the future of cross-channel media measurement, and we are seeking our next rockstar Measurement Analyst to build with us! Samba is an AI-forward data, measurement, and technology company. Using billions of signals from smart TVs, data partners, and the open web, we connect what media people watch and consume with what they do online and the real world. We use this information to help the world’s leading brands make data-informed decisions in content planning, media planning, audience activation, content and ads measurement, and more. At Samba, Measurement Science is a service organization responsible for using Samba data, measurement, and insights to add value to our customers. The organization is aligned into four verticals: Measurement Partners, Insights, Strategic Initiatives, and Technical Measurement Operations. The Data Analyst role sits in the Technical Measurement Operations team, and provides support cross-functionally to all Measurement Science team members. The role reports to the VP Measurement Science. What You'll Do • Analyst Tasks, • Extract data from Samba databases (e.g. conversion rate by audience segment)., • Perform custom matches and/or joins from disparate sources (e.g. ad exposure files from a publisher, conversion data from a measurement partner, and panel weights from the Samba measurement panel)., • Exploratory analysis and statistics (e.g. drivers analysis to identify what the key drivers were of campaign performance, content viewership, or other metrics., • Visualize data to make it more accessible internally and externally., • Administrative Tasks, • Independently manage, maintain, and execute the JIRA board ticketing system., • Define mechanisms (e.g. weekly standups, office hours) to manage workflows., • Incorporate AI into workflows and outputs and turn common requests into repeatable processes (e.g. templates, workbooks).Who You Are, • The James/Jayne Bond of Data Analysis, • Sophisticated technical mastery of SQL, Python, Databricks, BigQuery, • Cool under pressure - thrives in tackling high-stakes, complex data challenges., • Resourceful in problem solving - enjoys working independently to solve issues., • Unconventional - does things as they should be done, not have been done., • Goal-oriented - relentlessly driven to achieve goals and team success. Required Skills & Experience, • 4-8 years of experience in a technical data analyst role., • Absolute technical fluency in SQL, Python, Databricks, BigQuery., • Capabilities in statistical analyses, modeling, and exploratory data investigations., • Strong communication skills, obsessively organized, meticulously detail-oriented., • Knowledgeable in how to leverage AI tools to improve efficiency, accuracy, and workflows. Preferred Skills & Qualifications, • Experience in adtech and/or media, marketing, or measurement analytics., • Experience independently managing JIRA or similar ticketing and prioritization systems.

Job Description Role & Responsibilities: • Provide technical support for Earnix configuration, customization, and integration with enterprise pricing systems and workflows, • Collaborate with actuarial, data, and IT teams to design and implement architecture supporting pricing and rating processes, • Work with solution architects and system engineers to optimize end-to-end pricing lifecycle, including data ingestion, model deployment, and monitoring, • Develop, enhance, and maintain Earnix-based pricing models and decisioning systems, • Ensure performance, scalability, and reliability of Earnix solutions in production environments, • Support integration with upstream/downstream systems (e.g., policy admin systems, data warehouses, APIs), • Participate in testing, validation, and deployment of pricing models, • Troubleshoot and resolve technical and functional issues in pricing applications, • Bachelor's or master's degree in computer science, Actuarial Science, Mathematics, Engineering, or related field, • 5+ years of experience in insurance technology or pricing systems development, • Prior experience in Earnix implementation projects is highly preferred, • Strong experience with platforms like Earnix (configuration, modeling, deployment), • Proficiency in Python and data handling for large datasets, • Experience with APIs, system integration, and microservices architecture, • Knowledge of cloud platforms is a plus, • Knowledge of data pipelines, ETL processes, and data modeling, • Solid understanding of P&C insurance pricing and underwriting processes, • Exposure to actuarial modeling, rating algorithms, and risk segmentation, • Familiarity with regulatory and compliance considerations in insurance pricing, • Strong analytical and problem-solving skills, • Ability to work collaboratively in cross-functional teams, • Excellent communication and stakeholder management skills, • Detail-oriented with a focus on quality and accuracy

Job Description Who We Are: Spot & Tango is an innovative pet health & wellness brand that delivers personalized meal plans on a subscription basis. Our recipes are developed by leading animal nutritionists, and are made with only real, human-grade ingredients... and nothing artificial! We have lofty goals (to make every dog in the country healthier, and every pet parent happier!) and we are looking for the right people to help us get there. This is an exciting opportunity to join a VC-backed, high-growth, e-commerce startup and have an outsized impact in an extremely fast-paced environment. Plus, you get to think about dogs all day! Who You Are: We are seeking a talented and experienced Full-Stack Software Engineer to join our growing platform team. We are seeking candidates with expertise primarily in Python (this will be a backend-leaning role) and also in React. As a Full-Stack Software Engineer at Spot & Tango, you will play a pivotal role in building scalable web applications for our customers and for internal company use. Key Responsibilities: • Play a lead role designing and building new features for our core products, primarily using Django, React, and React Native, • Maintain high code quality by writing unit tests and conducting thorough testing prior to merging, • Collaborate with cross-functional stakeholders to ensure web applications achieve their business goals, • Optimize applications for maximum performance and responsiveness, especially on mobile devices, • Troubleshoot, debug, and resolve software defects and issues, • Implement security best practices to ensure the integrity and confidentiality of user data, • Stay up-to-date with emerging technologies and industry trends, and apply them to enhance our products, • Participate in code reviews to maintain code quality and ensure compliance with coding standards, • Contribute to the development of technical documentation and knowledge sharing within the team, • BS or MS in Computer Science, Engineering, or a related field strongly preferred, • 3-5 years of professional experience as a Full-Stack Software Engineer, • Proficiency in Python and React, with a strong portfolio showcasing your work, • Familiarity with Django and React Native, • Experience in developing and deploying web applications, • Familiarity with RESTful APIs and third-party integrations, • Solid understanding of front-end technologies such as HTML, CSS, and TypeScript, • Experience using Storybook for FE component standardization, • Strong SQL database design and management skills, • Experience with AWS services preferred, • Experience with version control systems (e.g., Git), • Excellent problem-solving skills and attention to detail, • Ability to work independently and as part of a collaborative team, • Experience working in a startup environment, and familiarity with DTC (Direct-to-Consumer) business models and e-commerce is a plus, • Ability to find simple solutions to complex problems This is a hybrid position. You must be able to commute into our office in Midtown Manhattan Monday, Wednesday, and Thursday. Spot & Tango is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Job DescriptionHinge is the dating app designed to be deleted In today's digital world, finding genuine relationships is tougher than ever. At Hinge, we’re on a mission to inspire intimate connection to create a less lonely world. We’re obsessed with understanding our users’ behaviors to help them find love, and our success is defined by one simple metric– setting up great dates. With millions of users across the globe, we’ve become the most trusted way to find a relationship, for all. About the Role Join Hinge as a Senior Machine Learning Engineer, where you'll lead the application of AI and machine learning to effectively mitigate the impact of bad actors, remove policy violating content, and ensure user safety on the platform. Working closely with an expanding Trust & Safety team, you will collaborate with product managers, data scientists, engineers, and analysts to develop impactful AI/ML solutions. In this high-impact position within a small, dynamic team, you'll have the opportunity to play a foundational role in shaping how Hinge utilizes AI and machine learning in various contexts. Your expertise will be instrumental in creating a safer and more meaningful user experience on their journey to find an intimate connection.Responsibilities • Develop, deploy, and maintain end-to-end machine learning models to identify and mitigate bad actors, remove policy-violating content, and ensure user safety., • Design and implement scalable systems (e.g., using Spark, Kubernetes) to preprocess data, run inference, and manage post-processing pipelines., • Define standardized performance metrics, testing protocols, and evaluation processes to measure the effectiveness, identify and mitigate potential risks, and ensure fairness of AI solutions., • Ensure ongoing assessment and refinement of AI solutions, incorporating user feedback, business impact, and emerging ethical considerations., • Collaborate closely with Data Scientists, Data Engineers, Product Managers, Backend Engineers, and the AI Platform Team to ensure a comprehensive and coordinated approach to user safety., • Stay abreast of new trends and research in AI/ML that can be applied to Trust & Safety initiatives to improve detection, user safety, and stay ahead of potential threats.What We're Looking For, • Strong programming skills: Proficiency in languages like Python, Java or C++ and SQL, proficiency in at least one ML stack (e.g., PyTorch), and strong understanding of data pipelines, • Domain expertise: Deep understanding of machine learning, deep learning, and emerging AI technologies. Proven track record of building, debugging, and fine-tuning real-time machine learning models for user facing products. Experience with applying expertise to fraud detection, content moderation, or related fields is a plus ., • System design & architecture: Experience training and deploying large scale ML models. Good understanding of distributed computing for learning and inference., • Evaluation frameworks for LLMs: Experience designing robust testing protocols to ensure effectiveness, fairness, and safety of AI-driven features., • Cloud and data platform proficiency: The ability to utilize cloud environments such as GCP, AWS, or Azure. Familiarity with solutions like Databricks, Ray, or KubeFlow is a plus., • Data engineering knowledge: Skills in handling and managing large datasets including, data cleaning, preprocessing, and storage. Good understanding of batch and streaming pipelines as well as orchestrators like Argo and Airflow., • Strategic technical leadership skills: Demonstrated track record of guiding teams through complex ML projects in alignment with product and business objectives., • Collaboration and communication skills: The ability to work effectively in a team and communicate complex ideas clearly with individuals from diverse technical and non-technical backgrounds., • Strong written communication: The ability to communicate complex ideas and technical knowledge through documentation. Prior Experience, • 4+ years of experience, depending on education, as an MLE or data scientist. Previous experience working in Trust & Safety or related fields (e.g., fraud detection, content moderation, compliance) is preferred., • 2+ years of experience in applying end-to-end machine learning models, including data collection, model training, deployment, and monitoring in an industry setting, • 1+ years of experience integrating LLMs in real-world applications with the appropriate baseline metrics and evaluation methodologies., • 1+ years of experience utilizing ML infrastructure components such as a feature store, model training environment, model serving environment, observability, workflow orchestrator, etc. #Hinge .

Job Description Be Part Of A High-Performing Global Capital Markets Technology Team: This opportunity sits within a global financial institution supporting mission-critical Front Office Sales & Trading platforms. The team operates at the intersection of business and technology, partnering closely with traders, quantitative teams, and application developers to ensure stability, performance, and accuracy across complex OTC trading workflows. The environment is fast-paced, risk-sensitive, and highly collaborative, supporting fixed income and derivatives products across international markets. This role plays a key part in strengthening automation maturity and ensuring trade lifecycle accuracy across systems that support swaps, interest rate products, caps/floors, and other derivatives. The team values technical depth, domain fluency, and strong cross-cultural communication—particularly between global and Japan-based stakeholders. What’s In Store For You: • Opportunity to work on revenue-generating front office trading systems, • Exposure to complex OTC derivatives workflows and capital markets platforms, • High-visibility role supporting global stakeholders across business and technology, • Design, build, and expand automated test frameworks using Java or Python for front office trading applications, • Develop and execute automated and manual test cases aligned to trade lifecycle workflows, • Validate deal ticket entry, risk revaluation (“reval”), and trade handoff to back office booking and settlement systems, • Perform API, UI, and data validation testing using tools such as Selenium, Postman, and SQL, • Convert business requirements and Xray test scenarios into scalable automation scripts, • Conduct impact assessments for new features and production changes, • Identify, document, and track defects in JIRA, ensuring traceability and root cause analysis, • Collaborate closely with developers, QA analysts, and business stakeholders across regions, • Participate actively in Agile ceremonies and sprint planning sessions, • 8+ years of experience in large-scale software development and QA environments, • 5–7+ years of hands-on experience developing automation frameworks using Java or Python, • Strong experience with Selenium and API testing tools (e.g., Postman), • Solid SQL skills with experience validating complex trade and financial data, • Minimum 2+ years of experience supporting Front Office Fixed Income or Derivatives Sales & Trading workflows, • Strong understanding of OTC trade lifecycle processes, including risk evaluation and downstream booking, • Experience with capital markets platforms such as Sophis, Murex, Summit, Numerix, ION, CRD, or similar systems preferred, • Hands-on experience using Xray within JIRA for test case management and defect tracking, • Experience working within Agile/Scrum delivery models, • Professional fluency in both Japanese and English (written and verbal), • Ability to communicate technical concepts clearly to stakeholders in both regions, • Experience with CI/CD pipelines and code review processes, • Knowledge of mobile or web performance testing, • Exposure to banking or financial services regulatory environments, • QA or Automation certifications are a plus

Job Description Job Title: Data Analyst Grade: 22 Salary: $80,698- $113,989 The Research Foundation for Mental Hygiene is seeking a qualified candidate to fill a full-time Data Analyst position. Mental Health Data Science provides statistical collaboration, data analytic methodological development, and data management for psychiatric and mental health research conducted within the Department of Psychiatry, Research Foundation for Mental Hygiene (RFMH), and the New York State Psychiatric Institute (NYSPI). We participate in extensive statistical collaborations with over 50 psychiatry researchers in any given year, providing statistical expertise and analysis to projects, including: biomarkers from brain imaging and neurocognitive tasks for mood and anxiety disorders and psychosis; clinical trials of new pharmacotherapies and psychotherapies for psychiatric and neurological disorders, including building treatment decision rules; implementation studies of support service programs for mental health treatment and prevention; measurement studies for improving psychometrics of diagnosis instruments in substance use disorders, depression, and biological aging; cohort studies of child-adolescent development of psychiatric and substance use disorders; causal analysis of prescribing practices monitored from medical claims records; momentary assessment studies of cardiovascular response to emotions and stress markers related to suicide; and much more. Seeking a qualified candidate to fill a full-time position of biostatistical data analyst in Mental Health Data Science division at The Research Foundation for Mental Hygiene affiliated also with the Department of Psychiatry at Columbia University Irving Medical Center. Duties and Responsibilities: • Specific duties will include the statistical analysis of clinical, epidemiological, and biological data., • The position will include planning and performing statistical analyses and writing reports for various externally funded research projects., • Excellent oral and written communication skills are highly preferred as is any prior experience in statistical consulting and analyzing data arising from psychiatric research. Solid academic training in biostatistics methods include techniques such as generalized linear modeling, multilevel and longitudinal models. To Apply: Submit an application through our website at . Please note only applications submitted through our website will be considered. The Mission of the Research Foundation for Mental Hygiene, Inc. (RFMH) is to promote the mental health of all New Yorkers, with a focus on providing hope and supporting recovery for adults with serious mental illness and children with serious emotional disturbances. Applicants with lived mental health experience are encouraged to apply. RFMH is deeply committed to supporting underserved individuals, organizations, and communities. To this end, RFMH is focused on implementing activities and initiatives to reduce disparities in access, quality, and treatment outcomes for underserved populations. A critical component of these efforts is ensuring that RFMH is a diverse and inclusive workplace where all employees' unique attributes and skills are valued and utilized to support the mission of the Agency. RFMH is an equal opportunity/affirmative action employer. The Research Foundation is a private not-for-profit corporation and is not an agency or instrumentality of the State of New York. Employees of the Research Foundation are not state employees, do not participate in any state retirement system, and do not receive state fringe benefits. Excellent Benefits Package. Affirmative Action/Equal Opportunity Employer - Disabled/Veteran, 41 CFR 60-741.5(a) and 41 CFR 60-300.5(a) compliant. Job Posted by ApplicantPro

Job DescriptionWho We AreQvest US is the global leader in technology and business consulting for the Media & Entertainment and Consumer Packaged Goods & Retail industries. We strategize, advise, design, develop and implement future-forward business & technology solutions. With expertise in digital media supply chain, data & analytics, IP & rights management, broadcast transformation, Salesforce and applied AI, our exceptionally talented teams partner with Fortune 1,000 companies to revolutionize markets and set new industry standards. Who We're SeekingQvest.US is seeking an experienced Data & Analytics Senior Consultant to join our growing data practice. In this role, you will participate in projects that drive better data-based decision making for our clients, involving strategy and planning, data management, reporting, and data visualization. We are looking for a hands-on technical data consultant who can successfully work with client projects, teams, and stakeholders.What You'll Do • Participate on project teams through all core project phases, including project setup, requirements gathering, design, development, testing and deployment, • Perform hands-on development by coding in SQL and occasionally Python, creating data visualizations in Tableau, Power BI, or similar, and designing data models in platforms such as Snowflake and Databricks, • Be the expert in various client meetings such as stakeholder interviews & workshops, • Understand, develop and articulate complex business challenges into actionable plans with clear and concise communication, • Proactively identify risks, issues and provide mitigation strategies, • Build and maintain strong client relationships, • Contribute to internal growth initiatives including mentorship, recruitment, strategy and/or methodology enhancementWhat You'll Bring, • Eagerness to participate in a best-in-class data practice, • 3+ years Project Management, Process, Implementation, and SDLC experience working closely with data professionals in an Agile environment, • Experience with client-facing activities such as requirements gathering, meeting facilitation & presentation creation, and deliverable review/approval sessions, • 5+ years in a consulting role or a data-focused role and strong experience with SQL in particular in platforms such as Snowflake, Databricks, Teradata, Redshift, BigQuery, MS SQL Server or similar, • Experience designing and building relational database and/or data warehouses, • Hands-on experience with business driven / self-service BI, using tools similar to Tableau, PowerBI, Looker, etc.Preferred Additional Experience, • Experience in Media & Entertainment and/or Consumer Products industries, • Experience at a large consulting firm (e.g., Accenture, Deloitte, EY, CapGemini, PWC), • Cloud computing experience, whether with AWS or other vendors, • Ability to automate data-related tasks using scripts and programming languages, • Ability to profile, explore, and analyze data to identify common data patterns, • Ability to present data solutions to business stakeholders with clear business acumen, • Bachelor’s degree in engineering, information systems, computer science, business administration, or other related analytics fields

Job Description At Fuze Health, we put patients first and tirelessly address the most pressing needs in healthcare. We empower millions to digitally connect with care providers, essential health resources and needed treatments – and enable care providers, employers, health plans and life sciences companies to meaningfully enhance quality, outcomes and value. We are dedicated to helping our partners evolve and modernize to meet emerging patient and marketplace needs. Fuze Health's foundation is built upon the strategic combination of several proven, technology-powered innovators in the digital health, diagnostics, and pharmacy sectors. Our growing portfolio brings together the capabilities of industry leaders including LetsGetChecked, Truepill, and Alto Pharmacy, to create a distinctive, unified force in healthcare. Together, we have the shared vision, advanced capabilities and talented teams to deliver next-generation solutions that patients and healthcare partners need today and into the future. We are looking for a highly motivated Graduate Software Engineer to join our US technology team. This is a fantastic opportunity for an entry-level professional to gain hands-on experience in a real-world software environment. You will be at the intersection of product engineering, cloud computing, and complex data environments. You will play a crucial role in our engineering team, focusing on the analysis of logs and data to assist in the troubleshooting and resolution of key issues. Responsibilities • Log and Data Analysis: You will be responsible for reviewing application logs, system metrics, and operational data to identify patterns, errors, and potential issues., • Issue Triage & Resolution: Work closely with our engineering teams to triage incoming bugs and support tickets, providing them with initial findings and relevant information from your log analysis., • Feature Development: You will be introduced to bug fixing and the initial development of new features, helping to build out our products and solutions., • Collaborate and Document: Serve as a key link between our Quality Assurance, Operations, and and Engineering teams, ensuring seamless communication and a quick path to resolution. Maintain clear and concise documentation of issues, findings, and resolutions in our knowledge base.What we are looking for….., • Education: A Bachelor's degree in Computer Science, Software Engineering, or a related field., • Problem-Solver: You have a natural curiosity and a passion for figuring out problems and getting to the root cause of an issue. You are a disciplined creator of automated tests for your own code., • Eager to Learn: A genuine interest in software development and a strong desire to build a career in engineering., • Independent & Adaptable: You can work autonomously to find solutions to complex problems and be flexible and responsive to changing requirements and priorities., • Communicator: Excellent written and verbal communication skills, with the ability to explain complex technical issues to a variety of audiences., • Technical Skills: Some familiarity with programming languages (e.g., Python, C#, JavaScript) and a basic understanding of software systems is a plus.Desired Skills, • Experience with Application Observability tools such as Splunk or Datadog., • Experience with Cloud Platforms (e.g., AWS, Azure, GCP). Benefits: Alongside a salary of $76,240 - $95,300 (Depending on Experience), we offer a range of benefits including: Full-time employee benefits include: dental, vision, and multiple group medical plans to choose from, a 401(k) retirement savings plan, group life insurance, (AD&D) insurance, flexible spending account (FSA) and health savings account (HSA), commuter benefits, employer-paid short-term (STD) and long-term disability (LTD) insurance, and additional supplemental insurance plans (spouse life insurance, legal insurance, an employee assistance program, home health testing kits, and a fertility medication discount program). Employees are also provided flexible vacation time, accrued paid sick time, 10 paid holidays, (2 floating holidays for full time non-exempt employees) , and up to 16 weeks of paid parental leave for a birthing parent, and up to 8 weeks of paid bonding leave for non-birthing parents, and up to 12 weeks of family caregiver leave, including 4 paid, to support care for a family member, and a Lifestyle Spending Account allowance each month. #LI-IF #LI-Remote At Fuze Health, we are committed to fostering an inclusive environment that celebrates diversity in all its forms. We believe that the diversity of thought, background, and experience strengthens our teams and drives innovation. We are an equal-opportunity employer and do not discriminate on the basis of race, ethnicity, religion, color, place of birth, sex, gender identity or expression, sexual orientation, age, marital status, military service status, or disability status. Our goal is to ensure that everyone feels valued and empowered to thrive. Fuze Corporate Inc. and its subsidiaries respects your privacy and is committed to protecting your personal information. Please read our Candidate Privacy Notice which explains how we collect, use, disclose, and protect personal information about job applicants during the recruitment and hiring process.

Job Description Hi, we're Oscar. We're hiring a Data Scientist II to join our Data team. Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves - one that behaves like a doctor in the family. About the role: Oscar's data team is focused on pushing our understanding of this complex landscape of health care and insurance business. Insurance companies sit on a trove of data that is both broad and deep, spanning financial claims, clinical medical records, and rich product interaction data from our members. Connecting the dots across these datasets gives us unique insight into how the healthcare system functions and allows us to improve care coordination, better manage risk, build higher-performing provider networks, and create a standout consumer experience in our product. As a Data Scientist II you will drive data science projects across multiple teams and domains. In this role, you'll take ownership of analytical and modeling work, contribute to technical direction, and partner closely with business, engineering, product and data stakeholders to deliver impactful solutions. This is a mid-level role for data scientists who can operate independently, manage ambiguity, and apply advanced analytics or modeling techniques with minimal oversight. You will report into a leader on the Data team (Senior Data Scientist and above). This posting is representative of multiple roles, and final team placement will be determined during the interview process. Work Location: This position is a hybrid role based in our New York City office, Los Angeles Office, or Tempe Office requiring a hybrid work schedule with 3 days of in-office work per week Thursdays are a required in-office day for team meetings and events, while your other two office days are flexible to suit your schedule. #LI-Hybrid Pay Transparency: The base pay for this role is: $131,200 - $172,200 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants, and annual performance bonuses. Responsibilities: • Research, develop, and maintain data pipelines, statistical models, and advanced analytical solutions, • Own projects end-to-end, including problem definition, implementation, validation, and iteration, • Deliver high-quality analytical and modeling outputs with limited manager oversight, • Collaborate closely with data science peers and cross-functional partners across business units, • Help ensure data science processes and outputs align with broader team strategies and roadmaps, • Provide guidance or informal mentorship to junior data scientists or analysts when needed, • 3+ years of experience in data science, applied analytics, or a related quantitative field (industry, academia, or both), • 2+ years of experience using SQL and Python and/or R to query, analyze, and manipulate data, • Master's degree in a quantitative or technical field, • Knowledge of or previous work experience in health care or health insurance, • Experience mentoring or supporting junior team members At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care -- an experience made whole by our unique backgrounds and perspectives. Pay Transparency: Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience. Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements. Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial intelligence for candidates and detail how we use AI to support our recruiting efforts. Reasonable Accommodation: Oscar applicants are considered solely based on their qualifications, without regard to applicant's disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team () to make the need for an accommodation known. California Residents: For information about our collection, use, and disclosure of applicants' personal information as well as applicants' rights over their personal information, please see our Privacy Policy.

Job Description Hi, we're Oscar. We're hiring an Applied AI Engineer to join our AI team. Oscar is the first health insurance company built around a full stack technology platform and a focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves—one that behaves like a doctor in the family. About the role Join Oscar's AI team to build and launch transformative AI-powered products that redefine the healthcare experience for millions. As an Applied AI Engineer, you'll take end-to-end ownership of high-impact projects—conceiving, prototyping, and deploying generative AI solutions that solve real-world problems across the healthcare ecosystem.You'll work alongside a world-class team of engineers and data scientists, rapidly iterating on ideas and shipping production-ready applications that drive measurable business and user outcomes. You'll have the autonomy to identify opportunities, experiment with the latest AI models and techniques, and deliver solutions that streamline operations, improve patient experiences, and move the needle for Oscar and our members. You will report to the Sr. Director, AI. Work Location: This position is based in our New York City office, requiring a hybrid work schedule with 3 days of in-office work per week. Thursdays are a required in-office day for team meetings and events, while your other two office days are flexible to suit your schedule. #LI-Hybrid Pay Transparency: The base pay for this role is: $163,944 - $236,911 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants, and annual performance bonuses. Responsibilities • Lead the design, development, and deployment of AI-driven products and features, from zero-to-one prototypes to robust production systems., • Collaborate cross-functionally with product, design, and business teams to deeply understand user needs and deliver solutions that move key metrics., • Rapidly experiment with new models, techniques, and tools (including LLMs, RAG, and agentic workflows), iterating based on data and user feedback., • Build and scale full-stack applications and intelligent agents that automate complex healthcare workflows and deliver seamless user experiences., • Stay on the cutting edge of the AI ecosystem, evaluating and integrating emerging technologies to keep Oscar at the forefront of healthcare innovation., • Contribute to Oscar's AI strategy and technical vision, helping shape the future of healthcare through technology., • Other duties as assignedQualifications, • 7+ years of professional experience in software engineering, data science, or a related field, with a track record of impactful accomplishments, • Strong Python programming skills, • Experience solving complex, ambiguous problems, • Experience designing and analyzing experiments or evaluations, • Experience or an interest in prototyping full-stack applicationsBonus Points, • Experience with the healthcare industry. Familiarity with claims or clinical data., • Degree in math, statistics, data science, or engineering., • Our ideal candidate is a data scientist with an engineering background, an engineer with a data science background, or a founder-type who combines product thinking, rapid prototyping, and hands-on coding to deliver real-world impact., • Experience with NLP, neural networks, transformers, and modern AI frameworks., • Knowledge of containerization and deployment tools (e.g., Docker, Kubernetes) or full-stack development (e.g., React, Golang)., • Experimental mindset: comfort with testing hypotheses and iterating on failures. This is an authentic Oscar Health job opportunity. Learn more about how you can safeguard yourself from recruitment fraud here. At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care -- an experience made whole by our unique backgrounds and perspectives. Pay Transparency: Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience. Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements. Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial intelligence for candidates and detail how we use AI to support our recruiting efforts. Reasonable Accommodation: Oscar applicants are considered solely based on their qualifications, without regard to applicant's disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team () to make the need for an accommodation known. California Residents: For information about our collection, use, and disclosure of applicants' personal information as well as applicants' rights over their personal information, please see our Privacy Policy.

Job Description Does getting in on the ground floor as an initial stakeholder, building out your own team, and building a solution that has never been built before, get you excited? Do you want to be the person, when people are talking about some awesome innovation in awe, to be able to proudly say you were instrumental in building it? If so then this could be an exciting opportunity for you. My client partners with companies ranging from fortune 500 to start-ups across all industries to solve their most complicated problems. The main one, most are wrestling with is how to use data and research for their decisions. With this hole in the market in mind, they have recently brought over one of the brightest minds from the AI/Machine learning world to build a product that doesn’t exist at this moment. It is tremendously ambitious goal, and they need a special team to do it. They are constructing its own floor, in their current space, and it is just at the start of this exciting journey. They are building a tool that can automate and replace the hundreds of thousands to million dollars that companies are spending in data science. This tool will greatly cut down on in some cases eliminate the need for companies to pour over data researching to find trends, it will do it for them, basically personalization for B2B. They are looking for a Senior Data Scientist to come on board and lead this ambitious initiative. If applying data mining techniques, doing statistical analysis, and building high quality prediction systems sounds like fun to you, keep reading. You will do things like , use machine learning techniques, build recommendation systems, and develop internal A/B testing procedures, and automation creation reporting. RESPONSIBILITIES · Selecting features, building and optimizing classifiers using machine learning techniques · Data mining using state-of-the-art methods · Enhancing data collection procedures to include information that is relevant for building analytic systems · Processing, cleansing, and verifying the integrity of data used for analysis · Doing ad-hoc analysis and presenting results in a clear manner · Creating automated anomaly detection systems and constant tracking of its performance · Utilize database technologies, including SQL, ETL, EMR, and Redshift to shape data and statistical modeling packages like R and python to build customer models. · Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation, and model implementation. · Research and implement novel machine learning and statistical approaches QUALIFICATIONS · Excellent understanding of machine learning techniques and algorithms · Experience with common data science toolkits and data visualization tools · Proficiency in using query languages such as SQL, Hive, Pig etc. · Good applied statistics skills, such as distributions, statistical testing, regression, etc. · Good scripting and programming skills such as Python · Bachelor’s degree in computer science, Engineering, Mathematics, Statistics or related fields, or equivalent practical experience. Masters is preferred · Relevant working experience in an analytical role involving data extraction, analysis, model building, deployment and communication of insights · Excellent quantitative modeling, statistical analysis skills and problem-solving skills. Sophisticated user of statistical tools. It is a truly unique work environment, where they are allowing the right candidate to be part of the creative, as well as the execution of the idea. The company empowers their employees, by choosing the right people, letting them use their unique skills, and giving them every resource, and power to make decisions. Truly a great opportunity to get in at ground floor and make a huge impact on tremendous team! Salary based on experience

Job Description Role & Responsibilities Overview: Architecture & Technical Leadership • Define end-to-end architecture for agentic AI-enabled platform across data, AI, orchestration, and integration layers, • Design and govern agentic orchestration framework for multi-step workflows, • Define integration architecture across - Lakehouse, ODS, document systems; Underwriting systems and third-party APIs, • Design configurable, metadata-driven framework for multi-LOB onboarding, • Define where and how to use - GenAI vs deterministic logic, agentic workflows vs pipeline workflows, • Establish multimodal integration approach combining structured, unstructured, and external data, • Define AI safety and guardrails (PII, hallucination control, policy constraints), • Establish ModelOps and PromptOps frameworks, • Lead technical execution across AI, data, and platform teams, • Guide engineers (AI, data, full-stack) and ensure alignment with architecture, • Experience: 10–15+ years in software/data/AI engineering with 4–6+ years in AI/ML/GenAI architecture, • Background: Strong experience in designing enterprise-scale platforms and distributed systems, • Domain (good to have): Insurance / reinsurance / financial services, • Education: Bachelor's or Master's in Computer Science, Engineering, Data Science, or related field, • GenAI & Agentic Frameworks - Semantic Kernel/ LangGraph (or similar orchestration frameworks); LLM integration (Azure OpenAI, OpenAI APIs, etc.); Prompt engineering, prompt lifecycle design, • Retrieval & RAG - Azure AI Search (indexing, vector search, hybrid search); Embedding pipelines and retrieval optimization; RAG design, grounding strategies, context management, • Tool Access & Integration - MCP (Model Context Protocol) architecture and tool design; API design (FastAPI / REST / microservices); Integration with enterprise systems and third-party APIs, • AI Safety & Governance - NVIDIA NeMo Guardrails;Microsoft Presidio (PII detection/masking); Guardrails for prompt injection, hallucination control, • Evaluation & ModelOps - Azure AI Foundry (model hosting, versioning, monitoring); Evaluation frameworks (LLM-as-judge, test datasets); Prompt/version control, cost/latency monitoring, • DevOps & Observability - CI/CD pipelines (Azure DevOps / GitHub Actions); Logging, monitoring, observability (App Insights, etc.); Performance tuning and scalability

Job Description Garner's mission is to transform the healthcare economy, delivering high-quality and affordable care for all. We are fundamentally reimagining how healthcare works in the U.S. by partnering with employers to redesign healthcare benefits using clear incentives and powerful, data-driven insights. Our approach guides employees to higher-quality, lower-cost care, creating a system that works better for everyone. Patients achieve better health outcomes, employers spend healthcare dollars more effectively, and physicians are rewarded for delivering exceptional care rather than performing more procedures. Garner is one of the fastest-growing healthcare technology companies in the country. Our products are trusted by the most sophisticated employers and providers in the industry, and we are building a team of talented, mission-driven individuals who are motivated to make a meaningful impact on healthcare at scale. About the role: We are seeking an exceptional Data Scientist II to join our Central Data team. This role will report to the Director, Data Science & Analytics. This role is critical to shaping Garner's Product & Growth strategy - from evaluating the impact of our products to building models that drive engagement. You will collaborate with data, product & engineering to improve the effectiveness of Garner's member facing product – e.g., answering questions like, "what features of our product drive engagement?", "What is the best time of day and channel to outreach to members?", or "What data concepts do we need to build out to improve our understanding of what drives someone to engage with Garner?" Your work will directly impact our member-facing products and inform strategic product decisions. Where you will work: This role will be based in our New York City office. You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday. What you will do: • Identify and measure success of product efforts through goal setting, AB testing, forecasting, and monitoring of key product metrics to understand trends, • Own projects end to end including problem definition, implementation, validation, & iteration, • Research, develop, and maintain data pipelines, statistical models, and advanced analytical solutions, including AI & machine learning models, • Collaborate cross-functionally with data scientists, product leaders, engineering & operations teams to shape how we define product & member engagement metrics, apply statistical rules, and model member behavior, • Synthesize & present your work to Garner leadership to drive company level decisions, • Contribute to improving data science practices, tooling, and documentationWhat you will bring to the team:, • 2+ years of experience in data science, applied analytics, or a related quantitative field (industry, academia, or both), • 2+ years of experience using SQL and Python and/or R to query, analyze, and manipulate data, • 2+ years of experience building data models, using more advanced analytics methods, statistical modeling, and/or data processing, • Excellent verbal and written communication skills, with ability to present information and analysis results effectively, • A demonstrated ability to independently solve difficult problems and deliver high quality results to senior stakeholders, • A willingness to "roll up your sleeves" and do whatever is necessary to ensure company success, ideally in a startup environment Please note: we are unable to sponsor or take over sponsorship of an employment visa at this time. Compensation Transparency: The target salary range for this position is $158,000 - $175,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k), Teladoc Health and more. Fraud and Security Notice: Please be aware of recent job scam attempts. Our recruiters use getgarner.com and garnerhealth.com email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement here and to . Equal Employment Opportunity: Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at .

Job DescriptionAbout Fusemachines Founded in 2013, Fusemachines is a global provider of enterprise AI products and services, on a mission to democratize AI. Leveraging proprietary AI Studio and AI Engines, the company helps drive the clients’ AI Enterprise Transformation, regardless of where they are in their Digital AI journeys. With offices in North America, Asia, and Latin America, Fusemachines provides a suite of enterprise AI offerings and specialty services that allow organizations of any size to implement and scale AI. Fusemachines serves companies in industries such as retail, manufacturing, and government.Fusemachines continues to actively pursue the mission of democratizing AI for the masses by providing high-quality AI education in underserved communities and helping organizations achieve their full potential with AI.Salary Range: US$ 140,000-190,000/yearRole Overview We’re hiring a mid-to-senior Machine Learning Engineer / Data Scientist to build and deploy machine learning solutions that drive measurable business impact. You’ll work across the ML lifecycle—from problem framing and data exploration to model development, evaluation, deployment, and monitoring—often in partnership with client stakeholders and internal delivery teams. You should be strong in core data science and applied machine learning, comfortable working with real-world data, and capable of turning modeling work into production-ready systems. Key Responsibilities • Problem Framing & Stakeholder Partnership, • Translate business questions into ML problem statements (classification, regression, time series forecasting, clustering, anomaly detection, recommendation, etc.)., • Collaborate with stakeholders to define success metrics, evaluation plans, and practical constraints (latency, interpretability, cost, data availability)., • Data Analysis & Feature Engineering, • Use SQL and Python to extract, join, and analyze data from relational databases and data warehouses., • Perform data profiling, missingness analysis, leakage checks, and exploratory analysis to guide modeling choices., • Build robust feature pipelines (aggregation, encoding, scaling, embeddings where appropriate) and document assumptions., • Model Development (Core ML), • Train and tune supervised learning models for tabular data (e.g., logistic/linear models, tree-based methods, gradient boosting such as XGBoost/LightGBM/CatBoost, and neural nets for structured data)., • Apply strong tabular modeling practices: handling missing data, categorical encoding, leakage prevention, class imbalance strategies, calibration, and robust cross-validation., • Build time series models (statistical and ML/DL approaches) and validate with proper backtesting., • Apply clustering and segmentation techniques (k-means, hierarchical, DBSCAN, Gaussian mixtures) and evaluate stability and usefulness., • Apply statistics in practice (hypothesis testing, confidence intervals, sampling, experiment design) to support inference and decision-making., • Deep Learning, • Build and train deep learning models using PyTorch or TensorFlow/Keras., • Use best practices for training (regularization, calibration, class imbalance handling, reproducibility, sound train/val/test design)., • Evaluation, Explainability, and Iteration, • Choose appropriate metrics (AUC/F1/PR, RMSE/MAE/MAPE, calibration, lift, and business KPIs) and create evaluation reports., • Perform error analysis and interpretation (feature importance/SHAP, cohort slicing) and iterate based on evidence., • Productionization & MLOps (Project-Dependent), • Package models for deployment (batch scoring pipelines or real-time APIs) and collaborate with engineers on integration., • Implement practical MLOps: versioning, reproducible training, automated evaluation, monitoring for drift/performance, and retraining plans., • Documentation & Communication, • Communicate tradeoffs and recommendations clearly to technical and non-technical stakeholders., • Create documentation and lightweight demos that make results actionable.Success in This Role Looks Like, • You deliver models that perform well and move business metrics (revenue lift, cost reduction, risk reduction, improved forecast accuracy, operational efficiency)., • Your work is reproducible and production-aware: clear data lineage, robust evaluation, and a credible path to deployment/monitoring., • Stakeholders trust your judgment in selecting methods and communicating uncertainty honestly.Required Qualifications, • 3–8 years of experience in data science, machine learning engineering, or applied ML (mid-to-senior)., • Strong Python skills for data analysis and modeling (pandas/numpy/scikit-learn or equivalent)., • Strong SQL skills (joins, window functions, aggregation, performance awareness)., • Solid foundation in statistics (hypothesis testing, uncertainty, bias/variance, sampling) and practical experimentation mindset., • Hands-on experience across multiple model types, including:, • Classification & regression, • Time series forecasting, • Clustering/segmentation, • Experience with deep learning in PyTorch or TensorFlow/Keras., • Strong problem-solving skills: ability to work with ambiguous goals and messy data., • Clear communication skills and ability to translate analysis into decisions.Preferred Qualifications, • Experience with Databricks for applied ML (e.g., Spark, Delta Lake, MLflow, Databricks Jobs/Workflows)., • Experience deploying models to production (APIs, batch pipelines) and maintaining them over time (monitoring, retraining)., • Experience with orchestration tools (Airflow, Prefect, Dagster) and modern data stacks (Snowflake/BigQuery/Redshift/Databricks)., • Experience with cloud platforms (AWS/GCP/Azure/IBM) and containerization (Docker)., • Experience with responsible AI and governance best practices (privacy/PII handling, auditability, access controls)., • Cloud certifications: AWS, Google Cloud, Microsoft Azure, or IBM (data/AI/ML tracks), • Databricks certifications (Data Scientist, Data Engineer, or related)Nice-to-Have, • Causal inference experience (e.g., quasi-experimental methods, propensity scores, uplift/heterogeneous treatment effects, experimentation beyond A/B tests)., • Agentic development experience: designing and evaluating agentic workflows (tool use, planning, memory/state, guardrails) and integrating them into products., • Deep familiarity with agentic coding tools and workflows for accelerated product development (e.g., AI-assisted IDEs, code agents, automated testing/refactoring, repo-aware assistants), including strong judgment on quality, security, and maintainability.Fusemachines is an Equal Opportunities Employer, committed to diversity and inclusion. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristic protected by applicable federal, state, or local laws. Important: Immigration Sponsorship Policy Fusemachines is unable to proceed with candidates who require any form of work authorization or immigration support from the company. This restriction applies to all types of support, including: • Direct Company Sponsorship: Such as H-1B, J-1, or TN visas., • Employer of Record: Listing Fusemachines as the immigration employer on any government documentation. I0GDC3XJwj

Job DescriptionBeghou brings over three decades of experience helping life sciences companies optimize their commercialization through strategic insight, advanced analytics, and technology. From developing go-to-market strategies and building foundational data analytics infrastructures to leveraging artificial intelligence to improve customer insights and engagement, Beghou helps life sciences companies maximize performance across their portfolios. Beghou also deploys proprietary and third-party technology solutions to help companies forecast performance, design territories, manage customer data, organize, and report on medical and commercial data, and more. Headquartered in Evanston, Illinois, we have 10 global offices. Our mission is to bring together analytical minds and innovative technology to help life sciences companies navigate the complexity of health care and improve patient outcomes. This position leads client projects in the conception, execution, and delivery of Data Aggregation systems life science firms. Additionally, this position plays a pivotal role in managing client interactions regarding existing and future Data Aggregation projects and identifies areas for future growth. We'll Trust You To: • Oversees and develops Data Aggregation (specialty pharmacy, hub, specialty distributor, 3PL) projects and capabilities; consistently delivers quality client services and drives projects within expected timeframes and on budget., • Develops data management and reporting suites across patient and channel data., • Works with project leadership to define project scope and development approach for each project, including conducting issue analysis and hypothesis development., • Coordinates with data vendors to establish data exchanges and to resolve data quality issues., • Synthesizes findings, develops recommendations, and communicates results to clients and internal teams., • Contributes to product development initiatives., • Works independently or with a team to build out data processes., • Coordinates with diverse teams, including those globally., • Frequently utilizes coding to facilitate data processing and reporting., • Provides project leadership for team members regarding process improvements, planned approaches for client requests, or transition of new deliverables., • Monitors progress, manages risk and ensures key stakeholders are kept informed about progress and expected outcomes; manages project finances by maintaining financial summaries, drafts SOWs for new work, and manages client invoices., • Assists in supporting management, including promoting employee engagement, recruiting, training, and providing ongoing education, employee mentorship and coaching; contributes to internal initiatives as needed., • Fosters an innovative and inclusive team-oriented work environment., • Coaches and mentors junior team members on their professional development and serves as their Professional Development Manager., • Grows external client engagements, owning aspects of the relationship between the client and the firm. These essential functions are not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required. Duties, responsibilities, and activities may change or new ones may be assigned at any time with or without notice.You will need to have:, • Bachelor’s or advanced degree with at least 5 years of relevant professional experience., • Proficiency using Microsoft Office products, such as PowerPoint and Word; advanced Excel skills required., • Coding skills (SAS, Python, R, VBA, etc.) and knowledge of data visualization software such as Tableau or Power BI, preferred., • Proven experience implementing or supporting patient and/or payer data management solutions in the US pharmaceutical market., • Proficiency in Microsoft Office products, with advanced Excel skills required., • Experience with HIPAA-compliant data management., • Experience working with specialty distributor EDI (852, 867) data preferred., • Experience with other commercial life sciences datasets (CRM, payer reference, claims, etc.) preferred., • Strong project management and people management skills., • Advanced analytical and problem-solving abilities., • Excellent organizational, time management, and communication skills. 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.