Founding Data Scientist

Описание вакансии

**Founding Data Scientist

Mira, Serbia**

Mira is building the future of women's hormonal health through quantitative hormone tracking technology.

Responsibilities:

*🌸*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.

Requirements:

*💦*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.

Working conditions:

*☘️*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.

Откликнуться