Senior Data Scientist - AI - Specialty Operations β Work At Home-New York. Apply via Workday.
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Senior Data Scientist - Commercial Product Strategy β NY - New York. Apply via Workday.
Senior Data Scientist - PBM Analytics β 2 Locations. Apply via Workday.
Senior Data Scientist - Health100 AI β 2 Locations. Apply via Workday.
Senior Data Scientist - Marketing & Consumer Analytics β MA - Wellesley. Apply via Workday.
Senior Data Scientist β Fab 10A, Singapore. Apply via Workday.
Senior Data Engineer (TY) β 2 Locations. Apply via Workday.
Senior Data Scientist β Fab 10A, Singapore. Apply via Workday.
Senior Data Scientist, SMAI β Fab 10A, Singapore. Apply via Workday.
Senior Data Scientist, Innovation Engineering Technology β Taichung - Fab 16, Taiwan. Apply via Workday.
Senior Data Management Manager - Global Supply Management Procure to Pay β 5 Locations. Apply via Workday.
Senior Data Engineer β Remote Nationwide. Apply via Workday.
Senior Data Architect β AI-Ready Data & Agentic Solutions β 2 Locations. Apply via Workday.
Drata is building the trust layer between great companies - automating compliance, managing risk, and helping organizations prove trust continuously as they scale. We're Dratanauts: a global crew of 600+ professionals united by a culture that rewards integrity, ownership, and raising the bar, no matter where in the world we're working from. Why Join the Drata Team? At Drata, you're not maintaining legacy compliance software - you're building the agentic AI platform defining what trust looks like for the next generation of companies. Here's what makes the work itself worth showing up for: Problems without a playbook: You'll work at the edge of AI and security, building agentic governance, continuous compliance, and real-time trust verification to solve problems that don't have an established answer yet. You're writing it as you go. Real ownership, not just process: Our values center on owning outcomes and raising the bar, not checking boxes. You're expected to have opinions and back them. A seat at the table: Your perspective is unique and valued. Open debate and diverse viewpoints are built into how decisions actually get made here, at every level. Growth at rocketship speed: Drata is scaling fast, which means scope grows fast too. High performers get more ownership, visibility, and experience. A crew, not just coworkers: Dratanauts consistently describe a "come as you are" culture with sharp, curious peopleβthe kind of team that makes hard problems genuinely fun to solve. See what they say here and follow us on LinkedIn for company news, employee stories, and career updates. Job Summary: Drata is looking for a Senior Data Engineer! This person will be a key member of the growing data team, supporting one of the fastest growing B2B SaaS startups to achieve unicorn status. At Drata, weβre on a mission to help build trust across the internet! Data accuracy is an essential cornerstone of our mission. We are looking for a senior data engineer that can help us strategize
At Vanta, our mission is to help businesses earn and prove trust. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. Our Data and Analytics team is currently looking for a Senior Data Scientist to join us! Youβll be responsible for laying the foundation for a best-in-class business analytics function. Youβll partner closely with our business stakeholders to ensure that our analytics stack and processes meet the business needs today with an eye towards the future. What youβll do as a Senior Data Scientist at Vanta: Build and maintain trusted product data assets using dbt, Snowflake, and modern analytics infrastructure Leverage AI-powered analytics tools and data agents (e.g., Snowflake Cortex) to accelerate insight generation, automate repeatable analysis, and scale decision-making Define and evolve measurement frameworks for product health, customer lifecycle, and AI-powered product experiences Partner closely with Product, Engineering, Design, and Customer Success to influence product strategy through data Help define Vantaβs analytics strategy and AI measurement practices as our product and data platform evolve Lead executive analytics reviews, translating complex analyses into clear recommendations that drive company decisions How to be successful in this role: 4+ years of experience working with data as a Data Scientist, Product Analyst, or Analytics Engineer in an applied business setting Strong foundation in SQL, Python (or R), statistics, and machine learning Experience designing and evaluating experiments, predictive models, and other statistical analyses to inform product decisions Experience building scalable data assets, metrics, and analytical frameworks on modern cloud data platforms (e.g., Snowflake, dbt) Deep experience with da
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