Senior Data Scientist
Digis is looking for a Senior Data Scientist to join an early-stage US-based femtech startup focused on hormonal health and personalized insights.
About the Project:
A rapidly growing healthtech product with a mission to improve hormonal health through predictive analytics and user personalization. The app is live, post-MVP, and scaling its data pipeline and infrastructure to support real-time predictions and meaningful health scoring.
- Country & Time Zone: USA (EST), with flexibility but some overlap required (up to 20:00 Kyiv time)
- Stage: Active product with users, scaling data systems, and ML-backed features
- Engagement: Long-term, 20 hours/week
- Methodology: Agile, lean, async-first with weekly calls and high autonomy
Your Role:
As the first data hire, you’ll own the data function end-to-end — from architecture and pipelines to insights and model development. You’ll work closely with the co-founder and product lead to shape the platform’s personalization engine and build scalable data tools.
Responsibilities:
- Build hormone cycle prediction models
- Design and iterate on health scoring systems
- Create population-level insight dashboards for brand partnerships
- Build a scalable data infrastructure to support growth
- Develop personalization algorithms and recommendation logic
Requirements:
- Python – 5+ years of experience
- SQL + Data Warehousing (BigQuery mandatory, Redshift/Snowflake optional) - 2+ years of experience
- GCP (Vertex AI, BigQuery) – 1+ years of experience
- Experience leading data initiatives in an early-stage startup and working independently
- Have worked with:
time-series and behavioral data analysis
anomaly detection, clustering, outlier scoring
pattern recognition, and basic ML models - Healthcare / Biotech domain - any experience
- English level: B2+ (comfortable passing a tech interview)
What Makes This Opportunity Unique:
- Mission-driven work in the femtech space, backed by Mayo Clinic
- Access to 67M+ health data points
- First data hire = real ownership and influence
- Highly autonomous role with room to grow the data function
- Direct collaboration with technical founders (Forbes 30u30)
If this sounds interesting, reply with your CV and expected hourly rate in USD (gross). Looking forward to hearing from you!