Senior Data Scientist

Vanta
United States
RemoteCareer-pivot friendly

Who this role is best for

Strong fit for senior-level data professionals who build scalable analytics systems and collaborate across product, engineering, and customer success teams. The role emphasizes modern cloud infrastructure and AI-assisted analytics in a remote U.S. work arrangement.

Best fit for

  • Candidates with experience in building scalable data infrastructure and influencing product strategy through analytics
    — “Partner closely with Product, Engineering, Design, and Customer Success to influence product strategy through data
  • Individuals who have leveraged AI-powered analytics tools to drive decision-making and automate analysis
    — “Leverage AI-powered analytics tools and data agents (e.g., Snowflake Cortex) to accelerate insight generation
  • Candidates with a track record of translating complex business problems into actionable data frameworks
    — “Demonstrated ability to translate ambiguous business problems into meaningful analytical frameworks

Things to consider

  • The role requires a deep understanding of B2B SaaS growth metrics and customer behavior
    — “Deep understanding of product analytics, customer behavior, and B2B SaaS growth metrics
  • The position demands leadership in executive analytics reviews and clear communication of insights
    — “Lead executive analytics reviews, translating complex analyses into clear recommendations

How to stand out

  • Highlight experience with dbt and Snowflake in your resume and interview examples
    — “Build and maintain trusted product data assets using dbt, Snowflake
  • Showcase projects where you automated analysis or scaled decision-making with AI tools
    — “Leverage AI-powered analytics tools and data agents to accelerate insight generation
  • Emphasize your ability to define and evolve measurement frameworks for product and customer metrics
    — “Define and evolve measurement frameworks for product health, customer lifecycle
Pace · SteadyCollaboration · HighAutonomy · MediumDecision Impact · CompanyLevel · Senior

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • accurate product data assets
  • predictive models
  • scalable data assets
Typical background
data scienceproduct analytics

Skills & requirements

Required

Data ScienceSQLPythonStatisticsMachine LearningData VisualizationProduct Analytics

Preferred

Ai-powered Analytics ToolsLlm-powered Workflows

Stack & domain

Data ScienceSQLPythonRStatisticsMachine LearningExperiment DesignPredictive ModelingData VisualizationAi-assisted AnalyticsLlm-powered WorkflowsProduct AnalyticsCustomer Behavior AnalysisB2B Saas Growth MetricsData InfrastructureSnowflakedbtSnowflake CortexProblem-solvingCommunicationTeamworkLeadershipCuriosityAdaptabilityDecision-makingCollaborationProject ManagementAnalytical ThinkingArtificial IntelligenceCloud ComputingBusiness IntelligenceProduct ManagementCustomer SuccessB2B Saas

About the role

Original posting from Vanta via Ashby

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.

Source: Vanta careers (Ashby)

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