Senior Data Scientist

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.