Senior Data Scientist
New
V
VantaB2B SaaS
Remote U.S.Full-TimeSenior
SalaryIndustry-competitive salary and equity
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Job Details
- Experience
- 4+ years of experience working with data as a Data Scientist, Product Analyst, or Analytics Engineer in an applied business setting
- Required Skills
- PythonSQLMachine LearningSnowflakeProduct AnalyticsData visualizationdbtRLLM
Requirements
- 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)
- Deep experience with data visualization
- Experience using modern AI-assisted analytics tools or LLM-powered workflows
- Deep understanding of product analytics, customer behavior, and B2B SaaS growth metrics
- Experience partnering closely with Product, Engineering, Design, and Customer Success throughout the product lifecycle
- Demonstrated ability to translate ambiguous business problems into meaningful analytical frameworks and actionable recommendations
- Passion for building reusable analytical systems
- Willingness to learn and apply AI responsibly to improve efficiency and impact
Responsibilities
- 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
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