20 beste Stellen als data scientist part in berlin – aktuell auf Personalsuche

Data Scientist
Reflow —Berlin
- Vollzeit
- Homeoffice
- SQL
- Machine Learning
- Führungserfahrung
Direkt bewerben
Fraud Data Scientist
Billie —Berlin
- Vollzeit
- Hybrides Arbeiten
- Master
- SQL
- Machine Learning
- Homeoffice-Möglichkeit
- Flexible Arbeitszeiten
Data Scientist (m/f/x)
Atolls —Berlin
- Hybrides Arbeiten
- SQL
- Python
Bioinformatics staff scientist (all genders)
Translational Medicine and Pharmacology —Berlin
- Teilzeit
- Doktorat
- Python
- Flexible Arbeitszeiten
14 Tage
Data Scientist (m/f/d) - Sales Forecasting & Pricing
home24 SE —Berlin
- Vollzeit
- Hybrides Arbeiten
- SQL
- AWS
- Machine Learning
- Homeoffice-Möglichkeit
Data Scientist (m/f/d)
Kayzen —Berlin
- Homeoffice
- Machine Learning
- APIs
- Python
Direkt bewerben
5 Tage
Principal Machine Learning Scientist (all genders)
Bayer —Berlin
- 104.300 € – 126.500 € pro Jahr
- Teilzeit
- Doktorat
- Machine Learning
- Künstliche Intelligenz
Senior Data Scientist (f/m/d)
PAIR Finance GmbH —Berlin
- 76.000 € – 103.500 € pro Jahr
- Vollzeit
- Hybrides Arbeiten
- Informatik
- Schreibfähigkeiten
- Englisch
- Flexible Arbeitszeiten
Direkt bewerben
14 Tage
Senior Data Scientist (f/m/d)
Moss —Berlin
- Vollzeit
- Hybrides Arbeiten
- Master
- Python
Data Scientist
JINGDONG RETAIL (UK) LIMITED —Berlin
- Vollzeit
- Azure
- Datenanalyse
- Master
Direkt bewerben
2 Tage
Senior Data Scientist (m/f/x)
Makersite GmbH —Berlin
- 80.000 € – 100.000 € pro Jahr
- Vollzeit
- Homeoffice
- Microsoft Excel
- Azure
- Master
- Homeoffice-Möglichkeit
Direkt bewerben
Senior Data Scientist - Geocoding (d/f/m)
Bettermile —Berlin
- Vollzeit
- Hybrides Arbeiten
- AWS
- Python
- Homeoffice-Möglichkeit
Data Science Consultant - QuantumBlack, AI by McKinsey
McKinsey & Company —Berlin
- Informatik
- Azure
- Informatik
Head of Analytics and Data Science (f/m/d)
Zenjob —Berlin
- Vollzeit
- Hybrides Arbeiten
- Künstliche Intelligenz
- Führungserfahrung
Direkt bewerben
Data Scientist - AI & Experimentation (m/f/d)
Pflegia —Berlin
- 42.000 € – 75.000 € pro Jahr
- Homeoffice
- Master
- AWS
- Künstliche Intelligenz
- Homeoffice-Möglichkeit
Direkt bewerben
7 Std.
Senior Machine Learning Research Scientist (m/f/d) - Generative AI for Drug Design
Pfizer —Berlin
- Online-Bewerbung
- Informatik
- Forschungserfahrung
- AWS
Staff Data Scientist, Dmarts - Quick Commerce
Delivery Hero —Berlin
- Vollzeit
- Hybrides Arbeiten
- AWS
- Künstliche Intelligenz
- Python
Direkt bewerben
7 Tage
Data Engineering Consultant - QuantumBlack, AI by McKinsey
McKinsey & Company —Berlin
- Azure
- Informatik
- SQL
Data Engineer (Databricks)
wega Informatik —Berlin
- Vollzeit
- Informatik
- AWS
- Machine Learning
Lead Data Scientist, Revenue - Ads, Revenue
Vinted —Berlin
- 90.100 € – 132.500 € pro Jahr
- Machine Learning
- Python
- Employee Assistance Program
- Mitgliedschaft im Fitnessstudio

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data scientist part jobs near berlin

Data Scientist

Reflow -
Berlin

Direkt bewerben

Details zur Stelle

Vollzeit

Qualifikationen

SQL
Machine Learning
Führungserfahrung
Python

Vollständige Stellenbeschreibung

We’re building Reflow, a workforce and workflow intelligence platform that helps teams understand and improve how work gets done. We’re a U.S.-based tech company with a high bar for talent, ownership, and execution — and we’re intentional about building a strong, globally distributed team from the start.

We need a Data Scientist to help design and build the algorithms that power insights, pre-label data, and reduce the need for manual configuration by users. This role sits at the intersection of machine learning, product, and data, turning complex data into clear, actionable value for our customers.

What you’ll do

Design and build algorithms that power Reflow’s core intelligence and analytics capabilities.
Develop models to pre-label, classify, and structure data, reducing the need for manual setup by users.
Collaborate with machine learning engineers to productionize models and integrate them into scalable systems.
Partner with product and engineering to translate business problems into data-driven solutions.
Build and iterate on models that generate insights, predictions, and recommendations.
Help define and improve data structures that support modeling, analysis, and automation.
Work on improving the SOP driven experience by reducing manual steps and increasing automation.
Analyze complex datasets to identify patterns, trends, and opportunities for product value.
Continuously evaluate model performance and iterate to improve accuracy, reliability, and impact.
Ensure solutions are efficient, scalable, and aligned with real-world workflows and user needs.

Who you are

Experienced in applied data science, machine learning, or advanced analytics in a product-driven environment.
Strong foundation in statistics, modeling, and experimental design.
Hands-on with Python and common data science libraries.
Comfortable building and evaluating models that move into production.
Strong SQL skills and ability to work with large, complex datasets.
Able to translate ambiguous problems into structured, data-driven solutions.
Focused on building systems that reduce manual work and deliver clear value to users.
Collaborative and comfortable working across engineering, product, and leadership teams.

Bonus points

Experience with pre-labeling, weak supervision, or automated data labeling techniques.
Familiarity with recommendation systems, classification, or predictive modeling.
Experience working with ML engineers to productionize models.
Understanding of workflow automation, process optimization, or operations analytics.
Exposure to real-time data or event-driven systems.

Why join

You’ll help build the intelligence layer of Reflow, creating the algorithms that power automation, reduce manual setup, and unlock meaningful insights for our customers. You’ll work directly with founders and engineers across product, data, and machine learning to shape how intelligence is delivered at scale. This is a high-impact role focused on turning data into real, measurable value.

We’re open to part-time or full-time. Ideal for builders who care about applying machine learning to solve real-world problems and creating systems that make users more effective.

Compensation:

We offer competitive pay based on the market and where you’re located. The salary ranges in our job postings are intentionally wide because they need to cover both U.S. and international candidates. Our final offer will depend on things like your experience, skill set, and location.

Direkt bewerben

Erweiterte Suche

data scientist part Jobs in berlin

Data Scientist

Fraud Data Scientist

Data Scientist (m/f/x)

Bioinformatics staff scientist (all genders)

Data Scientist (m/f/d) - Sales Forecasting & Pricing

Data Scientist (m/f/d)

Principal Machine Learning Scientist (all genders)

Senior Data Scientist (f/m/d)

Senior Data Scientist (f/m/d)

Data Scientist

Senior Data Scientist (m/f/x)

Senior Data Scientist - Geocoding (d/f/m)

Data Science Consultant - QuantumBlack, AI by McKinsey

Head of Analytics and Data Science (f/m/d)

Data Scientist - AI & Experimentation (m/f/d)

Senior Machine Learning Research Scientist (m/f/d) - Generative AI for Drug Design

Staff Data Scientist, Dmarts - Quick Commerce

Data Engineering Consultant - QuantumBlack, AI by McKinsey

Data Engineer (Databricks)

Lead Data Scientist, Revenue - Ads, Revenue

Ich möchte aktuelle Job-E-Mails für Stellen als data scientist part in berlin erhalten

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