Strava•24 days ago
Lead Data Scientist, Data Products
Recruiter Fit Breakdown & Candid Summary
1
This is a senior-level individual contributor role for a data scientist with deep experience in production ML evaluation and measurement.
2
The ideal candidate bridges the gap between business strategy and technical execution, specifically focusing on defining 'good' for ML models.
3
Candidates should have strong experience in causal inference or complex metric design where ground truth is imperfect.
4
This role is not for those seeking a pure research or model-building role; it is heavily focused on measurement, monitoring, and product-driven data strategy.
Role Responsibilities
- 1Define evaluation frameworks, offline/online metrics, and quality standards for internal ML models.
- 2Build measurement layers for cross-domain ML products to improve organizational visibility.
- 3Own experimentation and monitoring for production models, including drift detection.
- 4Identify and size AI/ML product opportunities from ambiguous problem spaces.
- 5Act as the domain expert to raise standards for validation and evidence quality across engineering teams.
Skills Matrix
Must-Have Skills
Data Science
Machine Learning(ML)
SQL
Python
Model Evaluation
Metric Design
Experimentation(A/B testing)
Nice-to-Have Skills
Causal Inference
Data Engineering
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