Senior Data Scientist (d/f/m)

Short Facts

• Location: Munich, Germany
• Employment Type: Full-Time, indefinite term
• Salary Range: € 88. per year gross depending on the seniority level
• Work Setup: Office First
• Language Requirement: C1 Level English

Your Responsibilities

• Be part of a cross-functional team of data scientists and software engineers.
• Research, develop and productionalize ML models for distributed energy system including clustering and forecasting.
• Implement, deliver and monitor well-engineered data driven solutions in our real-time production system.
• Contribute to define our data science roadmap, and help shape our next generation algorithms.
• Promote technical excellence, advocate for ML and coding best practices, contribute to our open, data-driven engineering culture, and mentor junior data scientists.
• Design, implement, deploy, and operate robust machine learning solutions in production.

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 industry experience in Machine Learning time series, or in data science applied to the energy sector or complex distributed systems.
• Proficiency in software development and software practices (e.g. testing, code quality, monitoring), with strong expertise in Python.
• Proven experience in delivering and monitoring machine learning artifacts in production
• Experience working in AWS
• Proven record of mentoring junior data scientists, leading them to contribute to the organization’s financial performance
• Excellent English communication and interpersonal skills
• You enjoy solving problems and sparring ideas in a cross-functional team with our data scientists, software engineers, product managers and business developers

Skills to Set You Apart

• Specifically, experience working with large amounts of time-series data.
• Work experience in energy / trading or similar fields
• Experience in Linear and Stochastic Optimization

Benefits

• Virtual Share Options
• Professional Development: Annual development budget of 3,000 € for coachings, trainings, books, etc
• Health & Sport Subsidy: Company subsidised sports facilities membership or Public Transportation Subsidy: Monthly subsidy for your public transport ticket
• Lunch/Dinner Allowance Vouchers: Allowance for meals on working days as digital meal vouchers
• Work Equipment: Mac Book, an ergonomic workplace setup, and company-funded access to leading AI development tools so you always have the best tools available
• Regular Team Events: Knowledge Sessions, Afterwork, Sports, Offsites, Halloween, Pride Month, etc.