Описание

Mira is building the future of women's hormonal health through 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

Founding Data Scientist