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1.425

Data Scientist jobs in Germany

(Senior) Data Scientist (f/m/x)

exmox GmbH

Hamburg
Hybrid
Confidential
3 days ago
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Data Scientist

Centric Software

Mainz
Hybrid
EUR 70,000 - 90,000
3 days ago
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Data Scientist (m/f/x)

FINN

München
On-site
EUR 69,000 - 80,000
4 days ago
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Early Career Data Scientist - Accelerator Program

SumUp

Berlin
On-site
EUR 80,000 - 100,000
3 days ago
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Data Scientist - (Logistics, Seamless Deliveries)

Delivery Hero SE

Berlin
Hybrid
EUR 60,000 - 90,000
6 days ago
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(Junior) Data Scientist (m/w/d) - Datenbankentwicklung/BI, Ingenieur

Reply Deutschland SE

Köln
Hybrid
EUR 45,000 - 60,000
4 days ago
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Data Scientist - Quantitatives Risikomanagement / Asset Liability Management (w/m/d)

Stellenanzeigen aus einem Partnerportal

Bertelsdorf
Hybrid
EUR 60,000 - 80,000
6 days ago
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Data Scientist (m/w/d) - Datenbankentwicklung/BI, Ingenieur

CTcon

Vallendar
Hybrid
EUR 55,000 - 75,000
3 days ago
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Data Scientist (all genders)

Expleo

Köln
Hybrid
EUR 55,000 - 75,000
3 days ago
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Senior Data Scientist - Quantitative Finance (w/m/d)

Stellenanzeigen aus einem Partnerportal

Bertelsdorf
Hybrid
EUR 60,000 - 80,000
6 days ago
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Data Scientist (mfd)

Redcare Pharmacy

Köln
Remote
EUR 80,000 - 100,000
4 days ago
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Data Scientist - Mobility Analytics, Causal AI & Marketing Intelligence (w/m/d)

Stellenanzeigen aus einem Partnerportal

Bertelsdorf
Hybrid
EUR 60,000 - 85,000
7 days ago
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Senior Data Scientist / Senior AI Engineer (mwd)

HMS | Data Science & Software Engineering Solutions

Ulm
Hybrid
EUR 70,000 - 90,000
3 days ago
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Junior Data Scientist / Data Analyst - Controlling (m/w/d)

IT-Systemhaus der Bundesagentur für Arbeit

Neckarsulm (Kernstadt)
On-site
EUR 45,000 - 60,000
4 days ago
Be an early applicant

Data Scientist (m/w/d)

EMA-Vermittlung GmbH

Hamburg
On-site
EUR 50,000 - 65,000
4 days ago
Be an early applicant

Data Scientist/Analyst Power BI (m/w/d)

IT-Systemhaus der Bundesagentur für Arbeit

Schwäbisch Gmünd
On-site
EUR 50,000 - 70,000
3 days ago
Be an early applicant

Lead Data Scientist (m/w/d)

Deutsche Telekom AG

Hamburg
Hybrid
EUR 60,000 - 80,000
4 days ago
Be an early applicant

Lead Data Scientist (m/w/d)

Deutsche Telekom AG

Köln
Hybrid
EUR 55,000 - 75,000
6 days ago
Be an early applicant

Actuarial Data Scientist / Aktuar:in / Mathematiker:in im Pricing (w/m/d)

Stellenanzeigen aus einem Partnerportal

Bertelsdorf
Hybrid
EUR 60,000 - 80,000
6 days ago
Be an early applicant

Data Analyst / Data Scientist (m/w/d)

M&L CG

Frankfurt
Hybrid
EUR 55,000 - 75,000
4 days ago
Be an early applicant

(Senior) Data Scientist (m/w/d)

thyssenkrupp

Saarland
On-site
EUR 60,000 - 80,000
3 days ago
Be an early applicant

(Junior) Data Scientist (m/w/d) – Hotel

CHECK24 Vergleichsportal

Münster
On-site
EUR 45,000 - 60,000
3 days ago
Be an early applicant

Data Scientist - Marketing Science (m/w/d)

Kaufland

Heilbronn
Hybrid
EUR 55,000 - 85,000
4 days ago
Be an early applicant

Senior Data Scientist (all genders)

diconium data

Hamburg
On-site
EUR 60,000 - 80,000
4 days ago
Be an early applicant

Weiterbildung zum Data Scientist (m/w/d) (100% förderbar)

velpTEC GmbH

Leipzig
On-site
EUR 80,000 - 100,000
4 days ago
Be an early applicant

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Senior Data Scientist
exmox GmbH
Hamburg
Hybrid
Confidential
Full time
3 days ago
Be an early applicant

Job summary

A leading mobile gaming company in Hamburg is seeking a Senior Data Scientist to lead data strategy and analytics initiatives. You will design and deploy advanced machine learning models, build scalable data pipelines, and lead data-driven decision-making across teams. The ideal candidate has 2–5 years of experience and strong SQL skills. This role offers a flexible hybrid work model and numerous perks focused on employee growth and well-being.

Benefits

Transport subsidy
Learning budget
Wellness and gym
Workation
Bi-weekly team lunches

Qualifications

  • 2–5 years of hands-on experience in production environments.
  • Built and maintained scalable data pipelines.
  • Successfully deployed machine learning models into production.
  • Strong SQL skills and experience optimizing complex queries.
  • Exceptional ability to translate mathematical concepts into business outcomes.

Responsibilities

  • Lead exploratory data analysis to inform company strategy.
  • Design and deploy advanced machine learning models.
  • Build scalable data pipelines for analytics and ML workloads.
  • Conduct rigorous experimentation and validate hypotheses.
  • Champion data-driven thinking and best practices across the organization.

Skills

Data Science methodologies
SQL
Data pipelines
Machine learning
Collaboration

Tools

Spark
Databricks
Job description
Your mission

This is a company built for growth, not comfort.

When you join exmox, you’re stepping onto a global, highly competitive playing field - solving real problems in environments that push you beyond your comfort zone.

We build high-performing consumer products across multiple brands in one of the most competitive industries there is: mobile gaming. You will be part of a company that is on a path of hyper-growth, spearheading one of the largest innovations in the mobile gaming industry - rewarded user acquisition.

At exmox, we don’t just analyze data. we leverage it to power strategic decisions, drive innovation, and unlock sustainable growth across our products and platforms. As a (Senior) Data Scientist (m/f/x), you will play a key role in shaping how data and machine learning are embedded throughout our business. From optimizing product performance to improving user engagement and predictive insights that directly impact revenue and strategic direction.

This isn’t a back‑seat analytics role. You will own end‑to‑end data science initiatives, influence key product outcomes, and partner closely with engineering, product, and business teams to build best‑in‑class data solutions at scale.

What You’ll Own
Data Strategy & Analytics
  • Lead exploratory data analysis (EDA) to uncover meaningful patterns, trends, and opportunities that inform company strategy and performance optimization (e.g., retention, ROAS).
  • Translate complex data into clear, impactful insights that influence decisions across teams.
Machine Learning & Predictive Modeling
  • Design, develop, and deploy advanced machine learning models for prediction, recommendation, and anomaly detection with a focus on real‑world impact and scalability.
  • Ensure models are production‑ready, robust, and maintainable in collaboration with engineering and data teams.
Data Engineering & Pipelines
  • Build and maintain scalable data pipelines that enable high‑quality data ingestion, transformation, and model input for analytics and machine learning workloads.
  • Partner with data engineering to evolve our infrastructure toward best‑in‑class data reliability and performance.
Experimentation & Validation
  • Lead rigorous experimentation, including A/B testing, to validate hypotheses and quantify the impact of product changes and machine learning features.
AI/ML Integration & Collaboration
  • Work closely with engineering and product teams to integrate AI/ML solutions into enterprise applications.
  • Ensure smooth deployment and scalability of machine learning models.
Thought Leadership & Best Practices
  • Champion data‑driven thinking across the organization by establishing best practices for analytics, modeling, and experimentation.

Beyond your operational responsibilities, you will also embody and champion our core values every day:

  • Elevate Together – Collaboration is our strength. We support each other, embrace diversity, and grow as a team.
  • Xray Transparency – Open communication builds trust and strong relationships. We value honesty, inclusion, and accountability.
  • Master Feedback – We challenge and support each other through honest, caring feedback.
  • Own the Outcome – We take ownership, move fast, and turn ideas into results.
  • Xcute Smart – Keep it simple, act pragmatically, and focus on what truly matters.
Your profile
Must‑Haves
  • 2–5 years of hands‑on experience applying data science methodologies end‑to‑end in production environments.
  • Built and maintained scalable data pipelines (e.g., Spark, Databricks).
  • Successfully deployed machine learning models into production (e.g., via API or streaming).
  • Strong SQL skills and experience with modern data warehouses — you write and optimize complex queries.
  • Exceptional ability to translate mathematical and ML concepts into actionable business outcomes.
  • A collaborative mindset with a drive to solve hard problems with a team‑first attitude.
Nice to Haves
  • Experience with advanced experimentation (e.g., causal inference, media mix models).
  • Familiarity with deep learning, time‑series forecasting, or ML monitoring tools (e.g., MLflow).
  • Background in AdTech or marketing analytics.
Why us?
  • Ambitious people, real ownership. You’ll work with driven, entrepreneurial people who care deeply about what they deliver, challenge each other openly, and own outcomes together.
  • We’re playing at the top, but we’re not done. Our apps rank in the top 5 of their categories. We’re determined to push further, compete harder, and earn the number one spot.
  • You own your own growth. Growth doesn’t happen by accident. At exmox, learning is built into the work - through responsibility, feedback, and real challenges.
  • Perks that help you focus on what matters. Transport subsidy, learning budget, wellness and gym, workation, bi‑weekly team lunches, and more. The perks are great - but the real reason people join and stay is the challenge, the people, and the drive to win together.
    Please note: this is not a remote only position, we offer you a flexible hybrid model here in Hamburg, Germany - working from home on Mondays & Fridays, coming to the office on Tuesday, Wednesday & Thursday! :)
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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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