Staff Data Scientist - Trading (m/f/d)

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. 

• 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

• Research, develop, and productize algorithms and models that optimize financial returns in trading the flexibility of our customers’ assets

• Shape the technical vision for how we trade the flexibility of assets across markets, breaking that vision into a roadmap the team can deliver against

• Take ownership of our data science roadmap, driving alignment across teams on methodology choices, success metrics, and system design

• Own the delivery of complex, ambiguous, large-scale projects from research to production deployment and monitoring. Anticipate dependencies and resolve them earl

• 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

Mandatory Requirements

• 7+ years industry experience in applied data science, with significant time spent developing trading algorithms in the energy or financial sectors

• Deep understanding of trading mechanics: price formation, market microstructure, risk, and the constraints that turn a backtest into a live strategy

• University degree in Computer Science, Mathematics, Physics, or a related quantitative field

• 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

• Experience mentoring junior data scientists and raising the technical bar of the team

• Excellent English communication and interpersonal skills

Skills to Set You Apart

• Direct experience with energy trading, especially for flexibility of battery storage systems

• Experience with both Machine Learning and Optimization development

• Experience designing or owning real-time or near-real-time analytics workflows.

• Competitive Compensation Package: Including salary, benefits, and potential for growth.
• Professional Development: Annual development budget of €3,000 for coaching, training, books, etc.
• Health & Sport Subsidy: Company-subsidized sports facility memberships.
• Public Transportation Subsidy: Monthly subsidy for your public transport ticket.
• Lunch/Dinner Allowance Vouchers: Digital meal vouchers for workdays.
• Work Equipment: Your choice of MacBook or Windows Laptop and ergonomic workplace setup.
• Regular Team Events: Knowledge sessions, afterwork hangouts, sports events, and company offsites.

I’m Austin Todd, Data Science Manager at Entrix. I lead our team of Data Scientists developing innovative algorithms for energy trading and optimization.  In my career I’ve had many exciting challenges and opportunities, with a consistent focus on developing innovative data science solutions in the energy industry and facilitating a transition to green energy solutions.

Here’s a quick snapshot of my journey so far:

• Data Science Manger @ sonnen (2021–2026): Built and scaled cross-functional data science teams, shaping the company vision for data science and AI development. 

• Data Scientist IV @ NREL (2019–2021): Led research & development efforts for data science applications in wind and solar energy, transportation, and data center operations. 

• Lead Data Scientist @ MeteoGroup (2017–2018): Drove the development of ML applications to build risk management tools for energy grid transmission operators. 

• Data Scientist @ Telekom Innovation Labs (2015-2017): Supported new client acquisition for Deutsche Telekom through building of innovative data science solutions.

Having spent most of my career building data science applications in the energy industry, I bring both a deep technical knowledge of data science methods and an understanding of how they can help shape the future of the industry.  As a manager, I help my teams by fostering innovation and research while driving rapid development that has a meaningful impact.  We believe great tech starts with great people. Collaboration, creativity, and an unrelenting focus on delivering results are at the heart of everything we do.

If you’re ready to work with a team that’s reshaping industries and tackling some of the toughest challenges, I’d love for you to check out our opportunities. Join us, and let’s build something extraordinary together.  I’m looking forward to seeing what we can create together.