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# Senior Data Scientist - Dispatch

- **Company:** Flexa
- **Location:** München, Germany
- **Experience:** Expert
- **Salary:** €95,000.0 - €115,000.0
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Software Quality, Code Review, Continuous Integration, Python (Programming Language), Machine Learning, Software Engineering, Supervised Learning, Real Time Systems, Model Validation, Information Technology, Data Analytics
- **Published:** June 3, 2026
- **Apply:** https://de.indeed.com/viewjob?jk=1b6e9276ca80cb15

## About the Role

Do you have experience in Research?, * University degree in a data-driven or analytical field (Operations Research, Applied Mathematics, Computer Science, Physics, Energy Engineering, or similar quantitative discipline)

 * 5+ years industry experience in applied data science
 * Mathematical optimization / OR experience. Hands-on with LP/MILP and MPC-style receding-horizon methods
 * Strong analytics and experimentation discipline - designing experiments and analysing results carefully, including counterfactual and regret reasoning
 * Energy domain background - markets, batteries, grid; understanding how the physical asset, the market, and the grid interact
 * Proficiency in Python and software engineering practices: testing, code quality, code review, CI/CD, monitoring, and modular code design
 * Proven track record of taking models from research into reliable production on AWS (or comparable cloud)
 * Excellent English communication and interpersonal skills
 * Cross-functional collaboration mindset across data scientists, software engineers, and partner-company stakeholders
 * Independent research experience, excellent analytical skills with strong attention to detail, and the ability to manage multiple tasks in a fast-paced team environment are essential., * Direct experience optimizing battery dispatch, demand response, or aggregated DER portfolios
 * Hardware or embedded experience, and comfort with real-time / low-latency systems
 * General machine learning experience - supervised learning, model evaluation, and knowing when ML is (and isn't) the right tool alongside optimization
 * Control background - MPC, receding-horizon control, or state-space methods for time-coupled decision-making

## Description

* Research and develop algorithms that optimize utilization in the Virtual Power Plant through smarter aggregation, disaggregation, and dispatch
 * Model, implement, and iterate on real-time dispatch optimization and control problems for Flexa's residential battery portfolio
 * Design and run experiments to evaluate dispatch policies and attribute outcomes against forecasts and market behaviour
 * Take models from research into reliable production: implement, deliver, and monitor well-engineered, data-driven solutions in our real-time systems on AWS
 * Opportunity to guide and develop more junior colleagues through design review, code review, and structured feedback
 * Be part of a cross-functional team of data scientists, software engineers, and other teams across Flexa's partner ecosystem


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