Founding Data Scientist

Responsibilities: — Build and enhance biometrics, algorithms, and data-driven insights for the Mira App — Analyze hormone, cycle, app behavior, and user outcome data to identify patterns and product opportunities — Develop and validate models for ovulation prediction, cycle modeling, hormone interpretation, and personalized recommendations — Collaborate with Product, Design, Engineering, R&D, and Real-World Evidence Scientist teams to translate data into app features and evidence-backed insights — Support real-world evidence and clinical research projects through data extraction, exploratory analysis, modeling, and validation — Define model performance and validation frameworks, addressing uncertainty, subgroup performance, missing data, and edge cases — Improve data quality by identifying instrumentation gaps and recommending better data capture in the app — Document model logic, assumptions, limitations, and appropriate use cases clearly for both technical and non-technical teams — Work with Engineering to transition prototypes into production-ready app features or data pipelines Requirements: — Strong skills in Python and data science — Preferred experience with SQL and working with longitudinal, time-series, behavioral, health, wearable, physiological, or biomarker data — Experience with model interpretability and explainability methods such as SHAP and LIME — Strong judgment in model validation, including handling missing data, avoiding leakage, testing robustness, and evaluating performance across user segments — Ability to translate data into user-facing product features, metrics, recommendations, or algorithms — Experience building models, scores, or analytical frameworks that influenced product, clinical, or business decisions — Strong communication skills with both technical and non-technical stakeholders — High ownership, startup speed, and comfort working with ambiguity — Good scientific judgment, including distinguishing product insights from clinical or marketing claims — Experience moving machine learning or algorithmic features toward production Benefits: — Remote position — 40-hour workweek — Flexible working hours — Occasional overlap with the US team — Competitive salary with performance-based bonus system tied to OKRs — Fully remote environment supporting autonomy, ownership, and independence — Real opportunities for career growth, including the ability to shape, build, and develop teams as the company scales