Skip to main content
Vanta

Senior Data Scientist

RemoteUnited States only
Published
Role
Data Science
Experience
Senior
Employment
Full-time
Salary not disclosed
Check eligibility

Open to US only. Set where you work from to check your eligibility.

No BS summary

Senior Data Scientist needed to build and maintain product data assets, leverage AI tools for insights, and define measurement frameworks. Requires 4+ years of experience, strong SQL, Python/R, statistics, ML, and experience with cloud data platforms like Snowflake and dbt. Must have deep understanding of product analytics, customer behavior, and B2B SaaS growth metrics.

Core skills

product analyticscustomer behaviorB2B SaaS growth metrics

Required skills

SQLPythonRstatisticsmachine learningSnowflakedbtdata visualization

Optional skills

AI-assisted analytics toolsLLM-powered workflows

What you'll do

  • 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

What they require

  • 4+ years of experience working with data as a Data Scientist, Product Analyst, or Analytics Engineer in an applied business setting
  • 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)
  • 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!

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. Vanta's Core Platform team provides the foundational infrastructure that powers all engineering at Vanta. We're expanding upmarket to support enterprise customers, which requires strategic investment in platform systems that ensure security, reliability, and developer productivity at scale. As we expand upmarket to support enterprise and regulated customers, we’re investing heavily in platform capabilities that scale securely while reducing cognitive load for product teams.

🇺🇸 United StatesTechnologyMid-size

What people say about this company

2.5/ 5

Salary not disclosed