Senior Data Scientist - AI-Driven Product Analytics (Remote)

Vanta; United States; Hybrid; USD 150,000 - 210,000; Full time

Benefits offered by this job

Salary & equity

Medical coverage

Parental Leave (16 weeks)

Wellness stipend

Remote workspace stipend

Commuter benefits

Job summary

Vanta is seeking a Senior Data Scientist to build a best-in-class analytics function and partner with stakeholders to ensure the analytics stack meets business needs today and into the future.

You will build trusted data assets using dbt and Snowflake, leverage AI-powered tools, define metrics for product health and customer lifecycle, and collaborate across Product, Engineering, Design, and Customer Success to drive strategic decisions.

Qualifications

• 4+ years of experience in 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 (Snowflake, dbt).

Responsibilities

• Build and maintain trusted product data assets using dbt, Snowflake, and modern analytics infrastructure.
• Leverage AI-powered analytics tools and data agents to accelerate insight generation and scale decision-making.
• Define and evolve measurement frameworks for product health and customer lifecycle.
• Partner with Product, Engineering, Design, and Customer Success to influence product strategy through data.
• Help define analytics strategy and AI measurement practices as our platform evolves.
• Lead executive analytics reviews, translating analyses into clear recommendations.

Skills

SQL

Python/R

Statistics

Machine Learning

Experiment design

Predictive models

Data visualization

AI-assisted analytics

Product analytics

Tools

Snowflake

dbt

Job description

Vanta is seeking a Senior Data Scientist to build a best-in-class analytics function and partner with stakeholders to ensure the analytics stack meets business needs today and into the future.

You will build trusted data assets using dbt and Snowflake, leverage AI-powered tools, define metrics for product health and customer lifecycle, and collaborate across Product, Engineering, Design, and Customer Success to drive strategic decisions.