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1.342

Data Scientist jobs in United States

Data Scientist - VC Backed startup (Munich)

Cherry Ventures

München
On-site
EUR 60,000 - 80,000
2 days ago
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Senior Data Scientist

Lufinity AI

München
Hybrid
EUR 90,000 - 110,000
2 days ago
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Clinical data scientist

Meet Life Sciences

München
Hybrid
EUR 70,000 - 90,000
Today
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Senior Data Scientist (m/w/d)

Fincon Reply GmbH

Germany
On-site
EUR 70,000 - 90,000
2 days ago
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Solution Data Scientist (m/w/d)

Proclinical Staffing

Stuttgart
On-site
EUR 70,000 - 90,000
Today
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Solution Data Scientist (m/w/d)

Proclinical Staffing

Germany
On-site
EUR 80,000 - 100,000
Yesterday
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Data Scientist – Academic Track

Almedia

Berlin
On-site
EUR 65,000 - 85,000
Yesterday
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Senior Data Scientist (d/f/m)

Adevinta 2021

Berlin
Hybrid
EUR 70,000 - 100,000
2 days ago
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Data Scientist (m/w/d)

DIS Deutscher Industrie Service AG

Hamburg
Remote
EUR 74,000 - 92,000
Yesterday
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Research Data Scientist (full-time, 1y fix)

Zoomcar

Berlin
Hybrid
EUR 60,000 - 80,000
Today
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Senior Data Scientist

DeepL

Berlin
On-site
EUR 70,000 - 90,000
Yesterday
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Senior Data Scientist

DeepL

Köln
On-site
EUR 70,000 - 90,000
Yesterday
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Applied LLM / Data Scientist

Synagen GmbH

Berlin
On-site
Confidential
2 days ago
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Senior Data Scientist (m/f/d)

talpasolutions GmbH

Essen
Hybrid
EUR 60,000 - 80,000
Today
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Data Scientist (f/m/x)

IONITY

München
On-site
EUR 60,000 - 80,000
Yesterday
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Data Scientist mit Schwerpunkt KI (w/m/d)

MAN Gruppe

München
On-site
EUR 60,000 - 80,000
2 days ago
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Revenue Data Scientist - Marketing

DeepL

Berlin
Hybrid
EUR 70,000 - 90,000
Today
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Data Scientist – Auction

trivago

Düsseldorf
On-site
EUR 60,000 - 80,000
2 days ago
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Senior Data Scientist (m/f/d)

eGym

München
Hybrid
EUR 65,000 - 80,000
2 days ago
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Revenue Data Scientist - Marketing

DeepL

München
Hybrid
EUR 60,000 - 80,000
Today
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Revenue Data Scientist - Marketing

DeepL

Köln
Hybrid
EUR 60,000 - 80,000
Today
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Personalization Data Scientist (mfd)

SIXT

München
On-site
EUR 60,000 - 80,000
2 days ago
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Lead Data Scientist (m/w/d)

Deutsche Telekom AG

Bonn
On-site
EUR 60,000 - 80,000
Today
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Lead Data Scientist (m/w/d)

Deutsche Telekom AG

Dortmund
Hybrid
EUR 60,000 - 80,000
Today
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Lead Data Scientist (m/w/d)

Deutsche Telekom AG

München
On-site
EUR 65,000 - 85,000
Today
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Data Scientist
Cherry Ventures
München
On-site
EUR 60.000 - 80.000
Full time
2 days ago
Be an early applicant

Job summary

A VC-backed energy startup in Munich is seeking a Data Scientist to build optimization models for battery storage and develop forecasting capabilities. The ideal candidate has 3–5 years of experience in data science, enjoys building solutions, and has strong Python and SQL skills. This role involves collaboration across the data pipeline and is set in a dog-friendly office environment, emphasizing office-first commitment for team synergy.

Benefits

Competitive salary with equity options
Flexible work environment
Top-notch equipment

Qualifications

  • 3-5 years of experience in data science, analytics, or a related field.
  • Hands-on experience building models for optimization and forecasting.
  • Ability to collaborate with engineers to develop production-grade software.

Responsibilities

  • Build and iterate on optimization models for battery storage.
  • Develop load forecasting models and manage forecast uncertainty.
  • Run analyses and simulations related to battery operation and energy supply.

Skills

Critical thinking
Python
SQL
Data cleaning
Feature engineering
Job description
Data Scientist - VC Backed startup (Munich)

Cherry Ventures is supporting our portfolio with this hire

Role: Data Scientist

We are hiring a Data Scientist to build and scale the analytical and algorithmic core of our energy products. You will work on real-world optimization and forecasting problems at the intersection of energy systems, software, and applied machine learning.

About Us

We are building Co-Power to power Europe’s industry. We believe in a future of true energy abundance, where clean electricity is ultra-affordable, resilient, and a competitive advantage for European manufacturers.

We install large-scale batteries at industrial sites and connect them into an intelligent network that manages electricity in real time, turning factories into energy hubs and making intermittent renewables reliable, dispatchable, low-cost power available around the clock.

Our mission is bold – and we’re looking for people who don’t just want to rethink energy, but to build the energy company of the future. People who get as excited about substations as they do about trading and optimization. People who believe Europe can lead again, and that energy is the lever to make it happen.

What You Will Do

  • Build and iterate on optimization models for battery storage operation to minimize energy procurement costs, with algorithms and decision logic that can actively intervene when required.
  • Develop and maintain load forecasting models, including approaches to quantify and manage forecast uncertainty.
  • Contribute to data platform architecture – help shape how we ingest, store, and serve time-series data from battery systems and EMS integrations.
  • Run analyses, simulations, and scenario studies related to battery operation, energy supply, and energy-market applications.
  • Work closely with our software engineering team to bring models into production and help build a state-of-the-art data science stack with a strong focus on robustness and real-world performance.
  • Take a hands-on role across the full data science pipeline, including data cleaning, preparation, feature engineering, modeling, and validation.
  • Collaborate with external partners (EMS Providers, Trading Partners) to align models with market and operational constraints.

What We’re Looking For

  • Min. 3–5 years of experience in data science, analytics, or a related quantitative field.
  • You think critically, proactively contribute ideas, and enjoy building things from the ground up.
  • Hands-on, pragmatic mindset combined with the ambition to build state-of-the-art solutions.
  • Strong Python skills and experience developing production-grade software together with engineers.
  • Comfort with SQL for data exploration and pipeline development
  • Solid understanding of data cleaning, data quality, and feature engineering
  • Ability to translate complex real-world systems into models that drive operational decisions.
  • Professional experience in one or more of the following areas is a big plus: energy markets, energy systems optimization, time-series analysis and forecasting in the energy sector.

Benefits

  • A competitive salary, potentially alongside equity in Co-Power.
  • Top-notch equipment. You choose what you need.
  • A dog-friendly office at Goetheplatz, Munich, with all the usual shenanigans.
  • While we allow for plenty of flexibility, we ask for an office-first commitment: when you’re not traveling, most of your time will be in the office. In an early-stage company, people learn faster, connect better, and accomplish more when they spend meaningful time together.

Cherry Ventures is an equal opportunity employer and values diversity. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, or disability status.

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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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