Data Scientist – Italy (Remote) or Berlin, Germany (On-Site)

mama health; Berlin; Hybrid; EUR 60.000 - 80.000; Vollzeit

Zusammenfassung

A healthcare technology startup in Berlin is seeking a Data Scientist to analyze health data and build actionable insights for B2B solutions. The ideal candidate will have 3+ years of experience, proficiency in Python and SQL, and a deep understanding of machine learning techniques. This role offers the chance to significantly impact healthcare outcomes and work directly with top-tier clients.

Leistungen

Educational courses

Gym memberships

Regular team events

Qualifikationen

• 3+ years of professional experience as a Data Scientist, preferably in healthtech or related fields.
• Strong skills in SQL and experience working with structured/unstructured data.
• Ability to work independently on complex problems while collaborating closely with product and engineering teams.

Aufgaben

• Analyze and model large, multi-modal patient datasets generating insights.
• Develop, validate, and scale algorithms for Patient Journey Analytics.
• Design and implement pipelines for data cleaning and predictive modeling.

Kenntnisse

Python

SQL

Statistical modeling

Machine learning

Data visualization

Fluency in English

Tools

pandas

scikit-learn

PyTorch

TensorFlow

Jobbeschreibung

Overview

Your mission

As a Data Scientist at mama health, you’ll sit at the center of our data engine. 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.

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.
• Ability to work independently on complex problems while collaborating closely with product and engineering teams.
• Full fluency in English (written and spoken).
• Location: either of the following (all other applications will be ignored):
• Reside and be legally authorized to work in Italy (remote)
• On-site in Berlin

Nice to Have

• Experience with real-world health data (e.g., patient-reported outcomes, claims, EHR).
• Familiarity with cloud environments (AWS, GCP, or Azure).
• Knowledge of NLP and LLM agents.

Why us?

mama health is entering a pivotal stage: we’re scaling fast on the way to our Series A. Joining now means you’ll have a direct impact on shaping our core products and tech stack while we grow from an early-stage startup into a global health tech player.

We’re building AI-first applications — our Patient App and Analytics Platform are powered by cutting-edge multi-agent systems, proprietary datasets, and modern cloud infrastructure. This is a chance to work on technically challenging problems with real-world impact, from scaling distributed systems to integrating machine learning in production.

At mama health, you won’t just be writing code — you’ll be part of shaping how health care is transformed through technology.

About Us

mama health’s mission is to build the largest healthcare data platform where patients find answers and healthcare players see how they can improve. We built two products:

• a Patient App that helps chronic patients find answers to their daily questions - using best in class multi-agent systems and proprietary data
• a Patient Journey Analytics Platform to see real time patient needs, roadblocks and what needs to be done to improve patients care

Our Values

• Entrepreneurial spirit: We seek exceptional talent with the drive, passion, and creativity to shape the future of our company. This isn’t a place for those seeking routine tasks or detailed instructions. If you’re eager to influence the future of healthcare with your ideas and contributions, mama health is the place for you.
• Results-driven culture: We operate by objectives and reward exceptional performance. Goals are clear and accountability is key. If you miss your targets, we expect you to step up and put in the extra effort. When you achieve them, take the time to recharge and celebrate your success.
• Inclusive values: As a company addressing chronic diseases worldwide, we are building an international, diverse team. Our employees bring together a mix of medical, technical, and business expertise, representing over five nationalities.

Work Environment And Benefits

At mama health, we work (very) hard but know how to have fun. Most of our team is based in Berlin, with regular trips to our Berlin office for remote team members. We offer a range of benefits, including educational courses, gym memberships, mentoring, and more. We host frequent team events and an annual "workation" where the entire team gathers for a week of collaboration and bonding. Join us to help transform patient experiences into actionable insights and shape the future of healthcare.