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Staff Data Scientist (d/f/m)

Flexa

München · On-site Full-time Lead 1w ago

About the role

Short Facts

  • Location: Munich, Germany
  • Employment Type: Full-Time, indefinite term
  • Salary Range: € 110, per year gross depending on the seniority level
  • Office-first work setup
  • Language Requirement: C1 Level English

Your Responsibilities

  • Lead the technical implementation of Flexa data science initiatives and projects from ideation and model development through deployment and maintenance, ensuring robust and high-quality solutions.
  • Research, develop, and adapt algorithms that unlock the capacity in our virtual power plant through optimized aggregation and dispatch concepts, household-level forecasting and identifying opportunities to distribute intelligence.
  • Mentor and guide Flexa data scientists, fostering an environment of continuous learning and improvement.
  • Foster technical excellence, drive best practices and contribute to our open, data driven engineering culture.
  • Strategic Product Development: Drive the advancement of our product roadmap, ensuring scalable and efficient solutions that expand the reach of our platform.
  • Keep Flexa at the forefront of innovation within the energy sector.
  • Work collaboratively within Flexa cross‑functional teams and across partner companies, to ensure alignment with product and business goals.

Your Profile

  • University degree in a data-driven or analytical field (such as Computer Science, Statistics, Applied Mathematics, Data Science, or related disciplines), with a strong focus on Machine Learning.
  • 5+ years of industry experience in applied data science or Machine Learning.
  • 3+ years of industry experience in a technical leadership role, overseeing data science initiatives.
  • Proficiency in software development and software practices, with strong expertise in Python.
  • Extensive hands‑on experience in developing, deploying and monitoring Machine Learning models in production.
  • Experience in working in the cloud, ideally AWS, with an emphasis on data and Machine Learning tools.
  • Demonstrated ability to tackle and resolve multiple complex data science challenges simultaneously, from conceptualization to delivery in production, within fast‑paced environments.
  • Excellent communication skills in English, and ability to handle multiple stakeholders in a cross‑functional setting.
  • Proven record of guiding data scientists to contribute to the organization’s financial performance.

Skills to Set You Apart

  • Deep understanding of optimization problems and methodologies.
  • Industry experience in the energy industry, particularly in energy trading or similar fields.
  • Expertise in designing algorithmic execution strategies and modeling market impact within intraday continuous power or financial markets.
  • Substantial background in forecasting intraday price movements, modelling order book dynamics, and market microstructure.
  • Hands‑on experience in big data technologies, such as Spark and Dask, and in handling Machine Learning models at scale.
  • Experience in time series data processing, analysis and forecasting, with focus on streaming setting.

Benefits

  • Virtual Share Options: We offer virtual share options to all our employees.
  • Professional Development: Annual development budget of 3,000 € for coachings, trainings, books, etc.
  • Health & Sport Subsidy: Company subsidised sports facilities membership.
  • Public Transportation Subsidy: Monthly subsidy to your public transport ticket.
  • Lunch/Dinner Allowance Vouchers: Allowance for meals on working days as digital meal vouchers.
  • Work Equipment: Mac Book or Windows Laptop, iPhone (also for private use) and ergonomic workplace.
  • Regular Team Events: Knowledge Sessions, Afterwork, Sports, Offsites, Halloween, Pride Month, etc.

Skills

AWSDaskMachine LearningPythonSparkTime Series Analysis

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