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Founding Data Scientist

3 дн. назад

СербияSeniorRemote

pythonsqlshaplimemodel validationlongitudinal datatime-series databehavioral data

Mira is building advanced hormone tracking technology to improve women's hormonal health with quantitative data analysis.

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.