What are the responsibilities and job description for the Senior Data Scientist - Optimization position at Habitat Energy?
Senior Data Scientist
Habitat Energy is a fast growing technology company focussed on the trading and algorithmic optimisation of energy storage and renewable assets around the world. Our mission is to deliver outstanding returns to our clients to increase the attractiveness of renewable energy globally and support the transition to a clean energy future. Our rapidly growing team of 90 people in Austin, TX, Oxford, UK, and Melbourne, Australia brings together exceptionally talented and passionate people in the domains of energy trading, data science, software engineering and renewable energy management.
We have a vacancy for a Data Scientist to join our Austin team based in Texas. This role will drive the development and implementation of advanced optimization and forecasting models, focusing on trading (DART), storage (BESS), portfolio, and congestion management across US power markets.
Your responsibilities will include :
Develop Forecasting Models and Decision Support Tools
- Create and maintain models for price forecasting, scenario analysis, and decision support, including machine learning models for energy market predictions and real-time forecasting.
Optimization Model Development and Maintenance
Congestion Modeling and Management
Support Business Development
Deployment and Integration
Innovation and Tool Optimization
Must have' skills and experience :
Nice to have' skills and experience :
Ultimately we are looking for someone who is a great fit for our company so we encourage you to apply even if you may not meet every requirement in this posting. We value diversity and our environment is supportive, challenging and focused on the consistent delivery of high quality, meaningful work.
In return, we'll give you a competitive salary, flexible working arrangements and a lot of personal development opportunities. We operate a hybrid working model with at least 2 days in our office in Austin.
When you apply for a job with us, we process some of your personal information. You can find out more about how we process your information in our candidate privacy policy, here.
