Senior Data Scientist
Senior
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Job Description
This Senior Data Scientist role sits on Vanta’s Product Analytics team and focuses on developing a trusted business analytics function that informs product strategy through rigorous, measurable insights. The work centers on product data assets, measurement frameworks, AI-assisted analytics, and executive-ready analytics reviews.
Responsibilities
- Build and maintain trusted product data assets using dbt, Snowflake, and modern analytics infrastructure.
- Use AI-powered analytics tools and data agents (for example, Snowflake Cortex) to speed up insight generation, automate repeatable analysis, and scale decision-making.
- Define and iterate measurement frameworks for product health, customer lifecycle, and AI-powered product experiences.
- Collaborate closely with Product, Engineering, Design, and Customer Success to influence product strategy through data.
- Help shape Vanta’s analytics strategy and AI measurement practices as the product and data platform evolves.
- Lead executive analytics reviews by translating complex analyses into clear recommendations that support company decisions.
Requirements
- 4+ years of experience working with data as a Data Scientist, Product Analyst, or Analytics Engineer in an applied business context.
- 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 such as Snowflake and dbt.
- Deep experience with data visualization.
- Experience using modern AI-assisted analytics tools or LLM-powered workflows to accelerate analysis and improve decision-making.
- Deep understanding of product analytics, customer behavior, and B2B SaaS growth metrics.
- Ability to partner throughout the product lifecycle with Product, Engineering, Design, and Customer Success.
- Demonstrated ability to translate ambiguous business problems into actionable analytical frameworks and recommendations.
- Interest in building reusable analytical systems that increase organizational leverage rather than producing one-off analyses.
- Open to using AI to amplify skills and strengthen work, showing curiosity, willingness to learn, and sound judgment when applying AI responsibly.
Technologies
- dbt
- Snowflake
- Snowflake Cortex
- SQL
- Python
- R
- Machine learning
- LLM-powered workflows
Benefits
- Industry-competitive salary and equity.
- Comprehensive medical, dental, and vision coverage, with 100% of employee-only benefit premiums covered for most medical plans.
- 16 weeks paid Parental Leave for all new parents.
- Health & wellness stipend.
- Remote workspace, internet, and cellphone stipend.
- Commuter benefits for team members who report to the SF and NYC office.
- Family planning benefits.
- Matching 401(k) contribution with immediate vesting.
- Flexible PTO policy, plus 80 hours of Sick Time.
- 11 company-paid holidays.
- Virtual team building activities, lunch and learns, and other company-wide events.
- Offices in SF, NYC, London, Dublin, Tel Aviv, and Sydney.
Job Details
- Location: Remote (Remote U.S.)
- Employment type: Full time
- Department: Product Analytics
Referral Instructions
If you are being referred for the role, please contact that person to apply on your behalf.
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