Senior Data Scientist — Remote, Data-Driven Impact

Fetch; United States; On-site; USD 160,000 - 188,000; Full time

Benefits offered by this job

Equity

401k Match

Education reimbursement

Paid time off

Parental leave

Remote work

Job summary

Fetch is seeking a Senior Data Scientist to serve as a primary analytical partner, owning complex analyses and measurement frameworks that inform product and business decisions. You will define and monitor core KPIs, identify opportunities, and use experimentation, modeling, and data-driven recommendations to improve user and business outcomes.

You will partner cross-functionally with Product, Engineering, Marketing, and Data Product teams to turn ambiguous business questions into structured

Qualifications

• 5+ years of experience in data science or applied analytics in product-driven environments.
• Strong expertise in statistical modeling, experimental design, and causal inference.
• Experience owning KPIs, measurement, or analytics for a product or business area.
• Proficient in SQL and at least one programming language (Python preferred).

Responsibilities

• Design and execute complex analyses, statistical models, and measurement frameworks.
• Own core KPIs for a product area and translate findings into actionable recommendations.
• Design and analyze experiments, guiding strategy with Product and Engineering.
• Communicate insights through clear narratives and visualizations for stakeholders.
• Collaborate with Product, Engineering, Marketing, and Data teams to drive impact.
• Mentor junior data scientists and analysts as needed.

Skills

Data science

Statistical modeling

KPIs ownership

SQL

Python

Education

Bachelor's in quantitative field

Tools

Snowflake

dbt

Airflow

Spark

Job description

Fetch is seeking a Senior Data Scientist to serve as a primary analytical partner, owning complex analyses and measurement frameworks that inform product and business decisions. You will define and monitor core KPIs, identify opportunities, and use experimentation, modeling, and data-driven recommendations to improve user and business outcomes.

You will partner cross-functionally with Product, Engineering, Marketing, and Data Product teams to turn ambiguous business questions into structured