Staff Data Scientist - Trading

• 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 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, 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 Manager @ 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.

• 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.