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Staff Data Scientist(m/w/x)
Developing and adapting algorithms for virtual power plant optimization. Cloud experience with data/ML tools required. Virtual share options, annual development budget.
Requirements
- University degree in data-driven/analytical field (CS, Stats, Math, Data Science)
- Proficiency in software development practices
- Developing, deploying, monitoring ML models in production
- Cloud experience, ideally AWS, with data/ML tools
- Tackling complex data science challenges from concept to production
- Excellent English communication skills
- Guiding data scientists for organizational financial performance
- Deep understanding of optimization problems/methodologies
- Industry experience in energy, trading or similar
- Designing algorithmic execution strategies
- Forecasting intraday price movements
- Big data technologies (Spark, Dask) at scale
- Time series data processing, analysis, forecasting in streaming
Tasks
- Lead technical implementation of data science projects
- Develop and adapt algorithms for virtual power plant optimization
- Mentor and guide data scientists
- Foster technical excellence and best practices
- Drive product development roadmap
- Ensure scalable and efficient solutions
- Expand platform reach
- Keep Flexa innovative in the energy sector
- Collaborate with cross-functional teams
- Align with product and business goals
Work Experience
- 5 - 7 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- AWS
- Spark
- Dask
Benefits
Other Benefits
- Virtual share options
Additional Allowances
- Annual development budget
- Meal allowance vouchers
Healthcare & Fitness
- Health and sport subsidy
Public Transport Subsidies
- Public transportation subsidy
Modern Equipment
- Mac Book or Windows Laptop
- iPhone
Ergonomic Workplace
- Ergonomic workplace
Learning & Development
- Knowledge sessions
Team Events
- Afterwork events
- Team sports
- Offsites
- Pride Month events
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Staff Data Scientist(m/w/x)
Developing and adapting algorithms for virtual power plant optimization. Cloud experience with data/ML tools required. Virtual share options, annual development budget.
Requirements
- University degree in data-driven/analytical field (CS, Stats, Math, Data Science)
- Proficiency in software development practices
- Developing, deploying, monitoring ML models in production
- Cloud experience, ideally AWS, with data/ML tools
- Tackling complex data science challenges from concept to production
- Excellent English communication skills
- Guiding data scientists for organizational financial performance
- Deep understanding of optimization problems/methodologies
- Industry experience in energy, trading or similar
- Designing algorithmic execution strategies
- Forecasting intraday price movements
- Big data technologies (Spark, Dask) at scale
- Time series data processing, analysis, forecasting in streaming
Tasks
- Lead technical implementation of data science projects
- Develop and adapt algorithms for virtual power plant optimization
- Mentor and guide data scientists
- Foster technical excellence and best practices
- Drive product development roadmap
- Ensure scalable and efficient solutions
- Expand platform reach
- Keep Flexa innovative in the energy sector
- Collaborate with cross-functional teams
- Align with product and business goals
Work Experience
- 5 - 7 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- AWS
- Spark
- Dask
Benefits
Other Benefits
- Virtual share options
Additional Allowances
- Annual development budget
- Meal allowance vouchers
Healthcare & Fitness
- Health and sport subsidy
Public Transport Subsidies
- Public transportation subsidy
Modern Equipment
- Mac Book or Windows Laptop
- iPhone
Ergonomic Workplace
- Ergonomic workplace
Learning & Development
- Knowledge sessions
Team Events
- Afterwork events
- Team sports
- Offsites
- Pride Month events
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Flexa
Industry
Other
Description
The company delivers a Virtual Power Plant (VPP) that enables efficient electricity trading for the residential sector, supporting a renewable electricity future.
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