Job description

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! You’ll be responsible for laying the foundation for a best-in-class business analytics function. You’ll 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 you’ll 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 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 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 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. What you can expect as a Vanta’n: - 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 #LI-remote At Vanta, we are committed to hiring diverse talent of different backgrounds and as such, it is important to us to provide an inclusive work environment for all. We do not discriminate on the basis of race, gender identity, age, religion, sexual orientation, veteran or disability status, or any other protected class. As an equal opportunity employer, we encourage and welcome people of all backgrounds to apply. About Vanta We started in 2018, in the wake of several high-profile data breaches. Online security was only becoming more important, but we knew firsthand how hard it could be for fast-growing companies to invest the time and manpower it takes to build a solid security foundation. Vanta was inspired by a vision to restore trust in internet businesses by enabling companies to improve and prove their security. From our early days automating security monitoring for compliance standards like SOC 2, HIPAA and ISO 27001 to creating the world's leading Trust Management Platform, our vision remains unchanged. Now more than ever, making security continuous—not just a point-in-time check— is essential. Thousands of companies rely on Vanta to build, maintain and demonstrate their trust— all in a way that's real-time and transparent. Referral Instructions If you are being referred for the role, please contact that person to apply on your behalf.

Requirements

Must-haves

Our Data and Analytics team is currently looking for a Senior Data Scientist to join us!
What you’ll 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 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
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.
Industry-competitive salary and equity
Remote workspace, internet, and cellphone stipend
Family planning benefits
Flexible PTO policy, plus 80 hours of Sick Time
11 company-paid holidays

Nice-to-haves

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Benefits

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Dental

Vision

401(K)

Pto

Parental Leave

Wellness