[Remote] Senior Data Scientist

Note: The job is a remote job and is open to candidates in USA. Vanta is a trust management platform that helps businesses improve and prove their security through continuous monitoring and verification. The Senior Data Scientist will establish a best-in-class business analytics function by building trusted data assets, developing measurement frameworks, leveraging AI-powered analytics, and partnering with cross-functional teams to guide product strategy and company decisions.

Responsibilities

• 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 Vanta’s 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

Skills

• 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 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
• Experience partnering closely with Product, Engineering, Design, and Customer Success throughout the product lifecycle
• Demonstrated ability to translate ambiguous business problems into meaningful analytical frameworks and actionable recommendations
• Passion for building reusable analytical systems that increase organizational leverage rather than one-off analyses
• Open to using AI to amplify their skills and strengthen their work - demonstrating curiosity, a willingness to learn, and sound judgment in applying AI responsibly to improve efficiency and impact

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!

Company Overview

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