Senior Data Scientist

Digis is a European company of 200 employees. The company was founded 9 years ago and has managed to grow from a startup into a reliable partner for our clients. We took the best from the product and outsourcing company. You collaborate directly with the clients team, make business trips....
Digis islooking for a Senior Data Scientist

tojoin anearly-stage US-based femtech startup focused onhormonal health and personalized insights.
About the Project:

Arapidly growing healthtech product with amission toimprove hormonal health through predictive analytics and user personalization. The app islive, post-MVP, and scaling its data pipeline and infrastructure tosupport real-time predictions and meaningful health scoring.
Country &Time Zone:

USA (EST), with flexibility but some overlap required (upto20:00 Kyiv time)
Stage:

Active product with users, scaling data systems, and

ML-backed

features
Engagement:

Long-term, 20hours/week
Methodology:

Agile, lean, async-first with weekly calls and high autonomy
Your Role:

Asthe first data hire, you’ll own the data function end-to-end— from architecture and pipelines toinsights and model development. You’ll work closely with the co-founder and product lead toshape the platform’s personalization engine and build scalable data tools.
Responsibilities:

Build hormone cycle prediction models
Design and iterate onhealth scoring systems
Create population-level insight dashboards for brand partnerships
Build ascalable data infrastructure tosupport growth
Develop personalization algorithms and recommendation logic
Requirements:

Python — 5+years ofexperience
SQL — 4+years ofexperience
Google BigQuery — 2+years ofexperience
English level:

B2+(comfortable passing atech interview)
What Makes This Opportunity Unique:

Mission-driven work inthe

femtech

space, backed byMayo Clinic
Access to 67M+ health data points
First data hire =

real ownership

and influence
Highly autonomous role with room togrow the data function
Direct collaboration with technical founders (Forbes 30u30)
Ifthis sounds interesting, reply with yourCV and expected hourly rate inUSD (gross). Looking forward tohearing from you!

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