Job
- Level
- Senior
- Job Field
- Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Salary
- 115.000 to 135.000€ Gross/Year
- Location
- Munich
- Working Model
- Onsite
Job Summary
In this role, you will develop trading algorithms to optimize battery flexibility in European markets while leading the team in data science and system design.
Job Technologies
Your role in the team
- Join us on our journey at Entrix: We are hiring a Staff Data Scientist to shape how we trade the flexibility of our customers' battery assets across European power markets.
- You will own the technical vision for our trading algorithms, drive the data science roadmap with the team, and deliver production systems that turn forecasts and optimization into revenue.
- This is a senior individual contributor role.
- You will spend your time on the hardest problems on the team: framing ambiguous trading challenges, designing systems that combine machine learning and optimization to deliver impactful results, and mentoring data scientists to raise the bar across the team.
- You will work closely with software engineers, product managers, and the leadership team to create a vision for the next generation of algorithmic trading at Entrix.
- Research, develop, and productize algorithms and models that optimize financial returns in trading the flexibility of our customers' assets.
- Gestalte die technische Vision dafür, wie wir die Flexibilität von Vermögenswerten über Märkte hinweg handeln, und zerlege diese Vision in eine Roadmap, die das Team umsetzen kann.
- Übernehmen Sie die Verantwortung für unsere Data Science Roadmap, und sorgen Sie für eine Abstimmung zwischen den Teams hinsichtlich Methodikentscheidungen, Erfolgsmessungen und Systemdesign.
- Own the delivery of complex, ambiguous, large-scale projects from research to production deployment and monitoring.
- Anticipate dependencies and resolve them early.
- Foster technical excellence across the team, mentoring data scientists through design review, code review, and structured feedback.
- Champion engineering rigor in testing, code quality, observability, and reproducibility for analytical code running in production.
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Our expectations of you
Education
- University degree in Computer Science, Mathematics, Physics, or a related quantitative field.
Qualifications
- Deep understanding of trading mechanics: price formation, market microstructure, risk, and the constraints that turn a backtest into a live strategy.
- Strong expertise in Python and software engineering practices: testing, code review, CI/CD, monitoring, and modular code design.
- Proven track record of taking machine learning and/or optimization models from research into reliable production systems on AWS or other cloud platforms.
- Excellent English communication and interpersonal skills.
Experience
- 7+ years industry experience in applied data science, with significant time spent developing trading algorithms in the energy or financial sectors.
- Experience mentoring junior data scientists and raising the technical bar of the team.
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What we offer
- Location: Munich, Germany.
- Employment Type: Full-Time, indefinite term.
- Salary Range: € 115,000 - 135,000 per year gross depending on the seniority level.
- Office-first work setup.
- Language Requirement: C1 Level English.
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Benefits
Health, Fitness & Fun
Topics that you deal with on the job
Job Locations
This is your employer
Entrix GmbH
Entrix GmbH, based in Munich, is an advanced company specializing in the development and operation of AI-driven solutions for optimizing battery storage and flexible energy systems. The company supports projects from technical planning to ongoing operations and offers comprehensive 24/7 services. Entrix operates in several European markets and assists energy system operators as a service provider.
Description
- Company Type
- Startup
- Working Model
- Onsite
- Industry
- Power Sector, Economy
Staff Data Scientist - Trading
- Salary
- 115.000 to 135.000€ Gross/Year
- Location
- Munich
- Working Model
- Onsite
- Diversity
- Open for all genders
- English Only
- English only required
