Product Data Scientist

About the role

Zof AI is looking for a Product Data Scientist to own the metrics that evaluate how well its AI agent fleets detect and remediate defects. You will work closely with engineering, product, and leadership to ensure that product improvements are backed by rigorous data analysis.

Key responsibilities

• Define and own metrics for detection precision, recall, and remediation success rates.
• Measure detection performance against real customer codebases.
• Design and run experiments to validate product or model changes.
• Partner with engineering to create consistent evaluation pipelines.
• Build reproducible analysis pipelines in Python and SQL.
• Translate findings into actionable recommendations for product and engineering teams.
• Maintain reporting that grounds product claims in evidence.

Required profile

• Strong fluency in Python and SQL.
• Solid grounding in statistics, experiment design, and inference.
• Experience analyzing messy real‑world data and drawing defensible conclusions.
• Ability to turn vague questions into clear, actionable metrics.
• Comfort with causality, bias, and confounding factors.
• Clear written and verbal communication skills.
• Proven track record of analysis influencing decisions.

Required skills

• Python
• SQL
• Statistics
• Experiment design
• Causal inference
• Bayesian analysis
• Data warehouses
• dbt

What we offer

• Salary GHS 7,000‑14,000 per month plus meaningful equity.
• Full living package: housing, meals, equipment, and wellness support where applicable.
• Access to premium AI development tools (e.g., Cursor Ultra, Claude, OpenAI Codex).
• Collaborative, high‑performance environment focused on ambitious AI products.