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Data Science Engineer – Forecasting & Renewable Trading(m/w/x)
Description
You will build the intelligence behind an innovative energy platform by developing end-to-end forecasting models and scaling machine learning infrastructure to drive the global energy revolution.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •Expertise in Python, PyTorch, and sklearn
- •Background in computer science, physics, math, or AI
- •Experience with cloud technology and databases
- •Expertise in software engineering practices
- •Proficiency with AI agents and coding assistants
- •Design and maintenance of 24/7 systems
- •Knowledge of energy markets (advantageous)
- •Valuing team spirit and creative freedom
- •Independent and team-based complex problem solving
Education
Work Experience
approx. 1 - 4 years
Tasks
- •Optimize battery and renewable forecasting models
- •Utilize alternative data and machine learning
- •Manage the full model lifecycle end-to-end
- •Translate research into production-ready code
- •Execute data extraction and ETL processes
- •Deploy and monitor forecasting models
- •Maintain 24/7 resilient forecasting infrastructure
- •Scale algorithms to new international markets
- •Adapt models to local market dynamics
- •Visualize data to monitor model performance
- •Support commercial teams with pricing evaluations
Tools & Technologies
Languages
English – Business Fluent
Benefits
Flexible Working
- •Hybrid and flexible working model
- •60 days of work from anywhere
More Vacation Days
- •30 days of vacation
Learning & Development
- •Support of lifelong learners
Bonuses & Incentives
- •Referral bonus
Team Events
- •Regular social events
- •Holiday party
Public Transport Subsidies
- •Free public transportation ticket
Free or Subsidized Food
- •Free lunch and fruits
Snacks & Drinks
- •Fair-trade coffee
Sustainability Focus
- •Private CO2 emissions offsetting
- •Sustainable enspired merch
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Data Science Engineer – Forecasting & Renewable Trading(m/w/x)
The AI Job Search Engine
Description
You will build the intelligence behind an innovative energy platform by developing end-to-end forecasting models and scaling machine learning infrastructure to drive the global energy revolution.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •Expertise in Python, PyTorch, and sklearn
- •Background in computer science, physics, math, or AI
- •Experience with cloud technology and databases
- •Expertise in software engineering practices
- •Proficiency with AI agents and coding assistants
- •Design and maintenance of 24/7 systems
- •Knowledge of energy markets (advantageous)
- •Valuing team spirit and creative freedom
- •Independent and team-based complex problem solving
Education
Work Experience
approx. 1 - 4 years
Tasks
- •Optimize battery and renewable forecasting models
- •Utilize alternative data and machine learning
- •Manage the full model lifecycle end-to-end
- •Translate research into production-ready code
- •Execute data extraction and ETL processes
- •Deploy and monitor forecasting models
- •Maintain 24/7 resilient forecasting infrastructure
- •Scale algorithms to new international markets
- •Adapt models to local market dynamics
- •Visualize data to monitor model performance
- •Support commercial teams with pricing evaluations
Tools & Technologies
Languages
English – Business Fluent
Benefits
Flexible Working
- •Hybrid and flexible working model
- •60 days of work from anywhere
More Vacation Days
- •30 days of vacation
Learning & Development
- •Support of lifelong learners
Bonuses & Incentives
- •Referral bonus
Team Events
- •Regular social events
- •Holiday party
Public Transport Subsidies
- •Free public transportation ticket
Free or Subsidized Food
- •Free lunch and fruits
Snacks & Drinks
- •Fair-trade coffee
Sustainability Focus
- •Private CO2 emissions offsetting
- •Sustainable enspired merch
About the Company
enspired GmbH
Industry
EnergyAutomation
Description
The company is instrumental in building and managing virtual power plant ecosystems to support the energy transition.
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Full-timeWith HomeofficeExperiencedfrom 3,215 / monthWien - Sportradar
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Full-timeWith HomeofficeExperiencedfrom 4,609.55 / monthWien