Job
- Level
- Senior
- Job Feld
- Data
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
- Gehalt
- 95.000 bis 115.000€ Brutto/Jahr
- Ort
- München
- Arbeitsmodell
- Onsite
Job Zusammenfassung
In dieser Position entwickelst du Algorithmen zur Optimierung der Nutzung von Batteriespeichern, führst Experimente zur Evaluierung von Dispatch-Strategien durch und implementierst diese in produktionstaugliche Lösungen auf AWS.
Job Technologien
Deine Rolle im Team
- 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.
Unsere Erwartungen an dich
Ausbildung
- University degree in a data-driven or analytical field (Operations Research, Applied Mathematics, Computer Science, Physics, Energy Engineering, or similar quantitative discipline).
Qualifikationen
- 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.
Erfahrung
- 5+ years industry experience in applied data science.
- Mathematical optimization / OR experience. Hands-on with LP/MILP and MPC-style receding-horizon methods.
- 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.
Unser Angebot
- Location: Munich, Germany.
- Employment Type: Full-Time, indefinite term.
- Salary Range: € 95.000 - 115.000 per year gross depending on the seniority level.
- Office First work setup.
- Language Requirement: C1 Level English.
Benefits
Gesundheit, Fitness & Fun
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
Flexa
FLEXA ist ein renommierter Hersteller von Kabelschutzsystemen, der seit vielen Jahren in Hanau-Steinheim, Deutschland, tätig ist. Das Unternehmen verfügt über eigene Entwicklungs-, Produktions- und Logistikprozesse und bietet eine Vielzahl von Schutzschlauch- und Kabelschutzlösungen für industrielle Anwendungen sowie den technischen Handel an.
Description
- Unternehmenstyp
- Etablierte Firma
- Arbeitsmodell
- Onsite
- Branche
- Industrie, Produktion
Senior Data Scientist - Dispatch
- Gehalt
- 95.000 bis 115.000€ Brutto/Jahr
- Ort
- München
- Arbeitsmodell
- Onsite
- Diversität
- Für alle Personen geeignet (m/w/d)
- Nur Englisch
- Nur Englisch erforderlich
