Senior Data Scientist

Summary

Join Vanta's Data and Analytics team as a Senior Data Scientist and build a best-in-class business analytics function. Partner with stakeholders to ensure analytics meet current and future business needs. You will develop DBT SQL pipelines, conduct statistical analysis using Python/R and Hex.tech, utilize Sigma Computing for customer journey insights, and manage analytical projects like churn prediction and risk modeling. The role requires setting high standards for predictive analytics, defining the analytics practice, and leading executive data reviews. Vanta offers competitive compensation, comprehensive benefits, flexible work arrangements, and a commitment to diversity and inclusion.

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

Responsibilities

• 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

Benefits

• Industry-competitive compensation
• 100% covered medical, dental, and vision benefits with dependents coverage
• 16 weeks fully-paid parental Leave for all new parents
• Health & wellness and remote workplace stipends
• Family planning benefits through Carrot Fertility
• 401(k) matching
• Flexible work hours and location
• Open PTO policy
• 11 paid holidays in the US
• Offices in SF, NYC, London, Dublin, and Sydney