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Senior Data Scientist

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Vanta

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Location:
United States; Canada

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

Not provided
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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.

Job Responsibility:

  • 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 journey
  • Conduct and manage business enhancing analytical projects: defining and predicting churn, specifying and building a product
  • Set the bar high for what is expected of predictive analytics projects
  • Define the analytics practice for our Product Analytics efforts
  • Help craft our AI and LLM measurement practices
  • Lead Analytics Reviews with C-level partners

Requirements:

  • Have at least 4 years of experience working with data as a data scientist / analyst in an applied business context
  • Deep experience with data visualization
  • Professional 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 customer
  • Building models for predicting risk
  • Intense curiosity about data, the world, where they match, and why they do or don’t
  • Product lifecycle expertise, in particular converting a product experience into a growth analytics framework
  • Executive communication skills. You can tell a compelling story about the status quo
  • Deep understanding of Product analytics stacks (Heap, Amplitude, StatSig, client stride tracking, and browser mechanics) and integration of product data with Customer Success teams
  • Deep understanding of Go to Market data stacks (Salesforce, Hubspot, Catalyst, Zendesk) and integration of product data with Customer Success teams systems and processes
  • Deep understanding of B2B SaaS predictive analytics
  • Experience working within Product Teams
  • Experience leading executive data reviews
  • Experience delivering change management with BI tooling
  • 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 we offer:
  • Offers Equity
  • Eligible for medical benefits
  • 401(k) plan
  • Other company perk programs
  • Comprehensive medical, dental, and vision coverage, with 100% of employee-only benefit premiums covered for most medical plans
  • 16 weeks fully-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

Additional Information:

Job Posted:
February 21, 2026

Employment Type:
Fulltime
Work Type:
Remote work
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