About this opportunity
Zof AI, Inc. lists this Applied Data Scientist opportunity in san francisco, California. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Applied Data Scientist – San Francisco, CA
Location: San Francisco, CA
Contract: Full-time, Mid-level, On-site
Compensation
Competitive salary
Plus meaningful equity
About This Role
Zof AI is hiring for this role in San Francisco, CA. This is a full-time opportunity for candidates who want to contribute directly to the development of ambitious AI products in a high-performance environment.
Hands-on experience measuring the quality of AI or machine learning systems with data, plus daily use of AI tools in your own analysis work, is required.
Zof AI is seeking an Applied Data Scientist to measure how well our agent fleets actually find and fix defects. This role owns the numbers behind the product: detection precision and recall, remediation success rates, experiment design, and the statistical rigor that separates a real improvement from noise. If you have worked as an Applied Scientist, Product Data Scientist, Quantitative Analyst, or Machine Learning Analyst, this is that discipline at Zof AI. The ideal candidate is fluent in Python and SQL, reasons about causes rather than correlations, and would rather report an honest number than a flattering one.
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.
Build analysis pipelines in Python and SQL that other people can rerun and trust.
Translate findings into clear recommendations for engineering, product, and leadership.
Own the reporting that keeps our claims about the product grounded in evidence.
Requirements
Strong working fluency with Python and SQL.
Solid grounding in statistics, experiment design, and inference.
Experience analyzing messy real-world data and drawing defensible conclusions.
Ability to turn a fuzzy question into a metric someone can act on.
Comfort reasoning about causality, bias, and confounding.
Clear written and verbal communication.
Comfort operating in a fast-moving environment.
Evidence of analysis that changed a decision.
Nice to Have
Experience measuring the quality of machine learning or AI systems.
Experience with causal inference methods or Bayesian analysis.
Experience with data warehouses, dbt, or notebook-to-production workflows.
Familiarity with software testing, CI pipelines, or developer tooling metrics.
Data Science Experimentation Statistics Python SQL
Data Science Experimentation Statistics Python SQL
What We Provide in San Francisco
MacBook Pro
Premium AI development tools
Cursor Ultra
Claude Code Ultra
OpenAI Codex Max or equivalent advanced AI tooling
Access to a high-performance AI product environment
Close collaboration with leadership, engineering, and customers
Opportunity to work in the San Francisco AI ecosystem
Wellness and productivity support where applicable
Competitive startup environment
High ownership
Direct product impact
Benefits may depend on role and final offer terms.
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Worksite address
san francisco, CA, 94199, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.