Senior Data Scientist – Berlin (On-Site)

Das ist der Job

Your mission This position is on-site in Berlin!

Darum lohnt es sich

Working closely with our Chief AI Officer (CAIO) and the Data Science team, you’ll turn raw patient stories into actionable insights that power our B2B SaaS Analytics Platform. Ability to work independently on complex problems while collaborating closely with product and engineering teams. Regular team events and off‑sites with an exceptional team.

As a Senior Data Scientist at mama health, you’ll sit at the center of our data engine. Your profile You’ll tackle meaningful questions across health data, patient journeys, and real‑world evidence, building models and analyses that help healthcare companies improve chronic care.

You’ll also work directly with renowned global clients, giving your work immediate visibility and worldwide impact. Key Responsibilities Analyze and model large, multi-modal patient datasets to generate insights on patient journeys and unmet needs.

Work hand-in-hand with the Chief AI Officer to develop, validate, and scale algorithms for our Patient Journey Analytics Platform. Collaborate with engineers and product managers to turn data insights into user‑facing features for our B2B SaaS tool. Design and implement pipelines for data cleaning, feature engineering, and predictive modeling.

Communicate results clearly to both technical and non‑technical stakeholders, shaping how life science companies make decisions. Stay up to date with state‑of‑the‑art methods in ML/AI and bring new ideas into our production stack.

Requirements 3+ years of professional experience as a Data Scientist (preferably in healthtech, SaaS, or related fields). Proficiency in Python (pandas, scikit‑learn, PyTorch/TensorFlow, or similar ML libraries). Strong skills in SQL and experience working with structured/unstructured data.

Solid understanding of statistical modeling, machine learning, and data visualization. Full fluency in English (written and spoken). Location: On‑site in Berlin. Familiarity with cloud environments (AWS, GCP, or Azure). Nice to Have Experience with real‑world health data (e.g., patient‑reported outcomes, claims, EHR). Knowledge of NLP and LLM.

Knowledge Graph. A mission that matters: help shape the future of healthcare at one of the fastest‑growing AI healthtech startups in Europe. Competitive compensation package, including equity. Wolt dinner + a ride home when working late. Being at the forefront of technology, building cutting‑edge AI products for healthcare.

Great office space and work environment in Berlin. #J-18808-Ljbffr