Senior Data Scientist - Product Analytics & Experiments

Fetch; Northern (KY); Hybrid; USD 160,000 - 188,000; Full time

Job summary

Fetch is seeking a Senior Data Scientist to own complex analyses and measurement frameworks, partnering with Product, Engineering, Marketing, and Data Product teams. You will define core KPIs, analyze experiments, and translate findings into actionable recommendations to drive revenue, retention, and cost efficiency.

The role requires 5+ years in data science or analytics, strong statistical modeling, and experience with Snowflake, dbt, Airflow, or Spark.

Qualifications

• 5+ years of experience in data science or related analytics with ownership of complex problems.
• Strong expertise in statistical modeling, experimental design, and causal inference.
• Experience owning KPIs and translating findings into actionable recommendations.
• Proficient in SQL and at least one programming language (prefer Python).
• Experience with large-scale data systems such as Snowflake, dbt, Airflow, or Spark.

Responsibilities

• Independently design and execute complex analyses, statistical models, and measurement frameworks that inform product and business decisions.
• Apply statistical methods such as experimental design, causal inference, predictive modeling, and Bayesian approaches based on the needs of the problem.
• Translate ambiguous business questions into structured analytical approaches, identifying the appropriate metrics, methodologies, and data required.
• Make thoughtful trade-offs between rigor, speed, precision, and practicality based on the business decision at hand.
• Act as the primary analytical owner for a product or business area, defining and maintaining its core KPIs and measurement frameworks.

Skills

SQL

Python

Statistical Modeling

Experimentation

Communication

Education

Bachelor’s degree in Statistics, Mathematics, Computer Science, Engineering, or related field

Tools

Snowflake

dbt

Airflow

Spark

Job description

Fetch is seeking a Senior Data Scientist to own complex analyses and measurement frameworks, partnering with Product, Engineering, Marketing, and Data Product teams. You will define core KPIs, analyze experiments, and translate findings into actionable recommendations to drive revenue, retention, and cost efficiency.

The role requires 5+ years in data science or analytics, strong statistical modeling, and experience with Snowflake, dbt, Airflow, or Spark.