Senior Data Scientist

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) - D

Department: Product Analytics; Team: Product Analytics