Founding Data Scientist

Founding Data Scientist at Mira, remote, focused on quantitative hormone tracking technology.

Build and improve 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; Partner with Product, Design, Engineering, R&D, and the Real-World Evidence Scientist to translate data into app features and evidence-backed insights; Support RWE and clinical research projects with data extraction, exploratory analysis, modeling, and validation; Define model performance and validation frameworks, including 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 technical and non-technical teams; Work with Engineering to move prototypes toward production-ready app features or data pipelines.

Strong Python and data science skills; SQL preferred and experience with longitudinal, time-series, behavioral, health, wearable, physiological, or biomarker data; Experience using model interpretability and explainability methods: SHAP, LIME, etc; Strong model validation judgment, 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; able to distinguish product insights from clinical or marketing claims; Experience moving ML or algorithmic features toward production.

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 that supports autonomy, ownership, and independence; Real opportunities for career growth, with the ability to shape, build, and develop teams as we scale.