15 beste Stellen als machine learning engineer in berlin mitte, be – aktuell auf Personalsuche

Senior Data Scientist – Berlin (On-Site)
mama —Berlin
- Vollzeit
- Azure
- Master
- SQL
- Mitgliedschaft im Fitnessstudio
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7 Tage
Data Scientist
Reflow —Berlin
- Vollzeit
- Homeoffice
- SQL
- Machine Learning
- Führungserfahrung
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Senior Data Engineer - Databricks (m/f/*)
Ultra Tendency —Berlin
- Montag bis Freitag
- Homeoffice
- Azure
- SQL
- AWS
- Umzugskostenzuschuss
Direkt bewerben
Senior Data Engineer (d/m/w) – Banking | Data Analytics Personalisierung
Sparkassen Rating und Risikosysteme GmbH —Berlin
- Hybrides Arbeiten
- Azure
- Informatik
- Java
- Gleitzeit
- Weiterbildungsprogramme
Direkt bewerben
Senior Data Engineer - Google Cloud Platform Berlin (m/w/d)
Schwarz Digits KG —Berlin
- Vollzeit
- Englisch
- Künstliche Intelligenz
- Python
Senior Data Scientist - Europe
Xenon7 —Berlin
- Homeoffice
- Master
- AWS
- Machine Learning
Direkt bewerben
12 Tage
Senior Staff Customer Engineer – Automotive AI
Sonatus —Berlin
- Homeoffice
- Azure
- Doktorat
- Informatik
Direkt bewerben
Berater für Digitale Transformation & KI (m/w/d) – Ideal für Quereinsteiger
mycareernow GmbH —Falkensee
- Ab 50.000 € pro Jahr
- Teilzeit
- Homeoffice
- Machine Learning
- PC-Kenntnisse
- Künstliche Intelligenz
- Weiterbildungsprogramme
Direkt bewerben
SENIOR CONSULTANT - DATA ENGINEERING & AI DATA PRODUCTS (M/W/D)
Berlin, München —Berlin
- Hybrides Arbeiten
- Azure
- Englisch
- SQL
- Weiterbildungsprogramme
11 Tage
Data Engineer
JINGDONG RETAIL (UK) LIMITED —Berlin
- Vollzeit
- Azure
- Informatik
- Java
Direkt bewerben
22 Std.
Senior Data Engineer - Google Cloud Platform Berlin (m/w/d)
Schwarz Corporate Solutions —Berlin
- Vollzeit
- Englisch
- Künstliche Intelligenz
- Python
10 Tage
Sr. Applied Scientist, Community Data & Science
Amazon Development Center Germany GmbH —Berlin
- Vollzeit
- Doktorat
- Informatik
- Forschungserfahrung
19 Std.
(Senior) Applied Scientist, Search
Wolt - English —Berlin
- Homeoffice
- Doktorat
- Forschungserfahrung
- Machine Learning
Direkt bewerben
3 Tage
Data Science Manager, Courier Pay
Lieferando —Berlin
- Management-Erfahrung
- Machine Learning
- Kommunikationsfähigkeit
1 Tag
Data Scientist (m/w/d) // Remote möglich
E. Breuninger GmbH & Co. —Berlin
- Per E-Mail
- Persönlich
- Azure
- Datenanalyse
- Englisch
- Homeoffice-Möglichkeit
Direkt bewerben
1 Tag

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(JUNIOR) DATA SCIENTIST (M/W/D)
Berlin, München, Hybrid —Berlin
Als (Junior) Data Scientist (m/w/d) entwickelst und implementierst du eigenständig Datenmodelle und -algorithmen für unsere kundenspezifischen Lösungen.
Data Scientist
Reflow —Berlin
This role sits at the intersection of machine learning, product, and data, turning complex data into clear, actionable value for our customers.
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machine learning engineer jobs near berlin mitte, be

Senior Data Scientist – Berlin (On-Site)

mama -
Berlin

Direkt bewerben

Details zur Stelle

Vollzeit
vor 7 Tagen

Leistungen

Firmenevents
Mitgliedschaft im Fitnessstudio

Qualifikationen

TensorFlow
Azure
Elektronische Patientenakte
Google Cloud Platform
Master
SQL
Pandas
AWS
Machine Learning
Computerlinguistik
Datenvisualisierung
SaaS
Graphdatenbanken
Python

Vollständige Stellenbeschreibung

Your mission

This position is on-site in Berlin!

As a Senior 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):
- 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

Why us?

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
Regular team events and off-sites with an exceptional team
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

About us

mama health’s mission is to build the largest healthcare data platform where patient find answers and healthcare players see how they can improve. We built 2 products:
1) a Patient App that helps chronic patients find answers to their daily questions - using best in class multi-agent systems and proprietary data
2) a Patient Journey Analytics Platform to see real time patient needs, roadblock 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.

Our 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.

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