Senior Data Scientist Offline

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!