Applied Data Scientist: Metrics-Driven AI (Equity)

Zof AI, Inc.; San Francisco (CA); On-site; USD 120,000 - 190,000; Full time

Benefits offered by this job

MacBook Pro

Premium AI development tools

High ownership

Direct product impact

Job summary

Zof AI is hiring an Applied Data Scientist to measure how well our agent fleets find and fix defects. This on-site role in San Francisco, CA owns the numbers behind the product: detection precision, remediation success rates, and rigorous experiment design.

You should be fluent in Python and SQL, with a strong statistics background, and enjoy turning questions into actionable metrics. You’ll build analysis pipelines and partner with engineering, product, and leadership to drive product

Qualifications

• Strong fluency with Python and SQL.
• Solid grounding in statistics, experiment design, and inference.
• Experience analyzing messy real-world data and drawing defensible conclusions.

Responsibilities

• Define and own the metrics that describe how well our agent fleets find and fix defects.
• Measure detection precision and recall against real customer codebases.
• Quantify remediation success rates and the strength of the validation evidence behind them.
• Design experiments that show whether a product or model change actually helped.
• Partner with engineering on eval design so agent runs are scored consistently over time.

Skills

Python

SQL

Statistics

Experiment design

Communication

Causality thinking

Tools

dbt

Job description

Zof AI is hiring an Applied Data Scientist to measure how well our agent fleets find and fix defects. This on-site role in San Francisco, CA owns the numbers behind the product: detection precision, remediation success rates, and rigorous experiment design.

You should be fluent in Python and SQL, with a strong statistics background, and enjoy turning questions into actionable metrics. You’ll build analysis pipelines and partner with engineering, product, and leadership to drive product