Senior Data Scientist

Stack

Responsibilities

• ▹Build and maintain trusted product data assets using dbt, Snowflake and modern analytics infrastructure
• ▹Use AI-powered analytics tools and data agents such as Snowflake Cortex to accelerate insight generation
• ▹Define and evolve measurement frameworks for product health, customer lifecycle and AI-powered experiences
• ▹Partner with Product, Engineering, Design and Customer Success to influence product strategy through data
• ▹Help define Vanta's analytics strategy and AI measurement practices
• ▹Lead executive analytics reviews and translate complex analyses into clear recommendations

Requirements

• ▹4+ years of experience working with data as a Data Scientist, Product Analyst or Analytics Engineer
• ▹Strong foundation in SQL, Python (or R), statistics and machine learning
• ▹Experience designing and evaluating experiments, predictive models and statistical analyses
• ▹Experience building scalable data assets and analytical frameworks on modern cloud data platforms such as Snowflake and dbt
• ▹Deep experience with data visualization
• ▹Experience using AI-assisted analytics tools or LLM-powered workflows
• ▹Deep understanding of product analytics, customer behavior and B2B SaaS growth metrics

Soft skills

What we offer

• ▹Industry-competitive salary and equity
• ▹Comprehensive medical, dental and vision coverage
• ▹16 weeks paid parental leave
• ▹Health and wellness stipend
• ▹Remote workspace, internet and cellphone stipend
• ▹Commuter benefits for SF and NYC office staff
• ▹Family planning benefits
• ▹Matching 401(k) contribution with immediate vesting
• ▹Flexible PTO plus 80 hours of sick time
• ▹11 company-paid holidays

About the company

Vanta helps businesses earn and prove trust by continuously monitoring and verifying security, with offices in San Francisco, New York, London, Dublin, Tel Aviv and Sydney.