Senior Data Scientist
VantaProduct AnalyticsPosted 23 February 2026
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 Sr. Data Scientist at Vanta:Write DBT SQL pipelines to automate and manage data assets in Snowflake for our product partners.Python/R with Hex.tech to conduct statistical analysis of product usage and engagement data.Work in Sigma Computing to find insights in our customer journeyConduct and manage business enhancing analytical projects: defining and predicting churn, specifying and building a productSet the bar high for what is expected of predictive analytics projects.Define the analytics practice for our Product Analytics effortsHelp craft our AI and LLM measurement practicesLead Analytics Reviews with C-level partnersHow to be successful in this role:Have at least 4 years of experience working with data as a data scientist / analyst in an applied business contextDeep experience with data visualizationProfessional experience with statistics and analytical techniques.Experience with experiment design and hypothesis testing in small n experiments.Building models for predicting the P(churn) of a customerBuilding models for predicting riskIntense curiosity about data, the world, where they match, and why they do or don’tProduct lifecycle expertise, in particular converting a product experience into a growth analytics frameworkExecutive communication skills. You can tell a compelling story about the status quoDeep understanding of Product analytics stacks (Heap, Amplitude, StatSig, client stride tracking, and browser mechanics) and integration of product data with Customer Success teamsDeep understanding of Go to Market data stacks (Salesforce, Hubspot, Catalyst, Zendesk) and integration of product data with Customer Success teams systems and processesDeep understanding of B2B SaaS predictive analyticsExperience working within Product TeamsExperience leading executive data reviewsExperience delivering change management with BI toolingOpen 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 impactWhat you can expect as a Vanta’n:Industry-competitive salary and equityComprehensive medical, dental, and vision coverage, with 100% of employee-only benefit premiums covered for most medical plans16 weeks fully-paid Parental Leave for all new parentsHealth & wellness stipendRemote workspace, internet, and cellphone stipendCommuter benefits for team members who report to the SF and NYC officeFamily planning benefitsMatching 401(k) contribution with immediate vestingFlexible PTO policy, plus 80 hours of Sick Time11 company-paid holidaysVirtual team building activities, lunch and learns, and other company-wide events!Offices in SF, NYC, London, Dublin, Tel Aviv, and SydneyTo provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar-stage growth companies. Final offer amounts are determined by multiple factors and may vary based on candidate location, skills, depth of work experience, and relevant licenses/credentials. #LI-remoteAt Vanta, we are committed to hiring diverse talent of different backgrounds and as such, it is import ... (truncated, view full listing at source)
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