Data Scientist, Forecasting and Energy Storage System Optimization
Broomfield Office, United States
USD 96K-145K Entry-level Full Time
Tasks
- Build data visualizations dashboards and reports
- Collaborate with engineering and energy experts
- Conduct exploratory data analysis
- Design data pipelines
- Develop machine learning models
- Extract, transform, and analyze large datasets
- Integrate data driven solutions into product platforms
- Optimize energy storage and solar asset performance
- Perform statistical analysis
- Prototype analyses in Jupyter notebooks
Perks/Benefits
- 401k
- Flexible time off
- Health benefits
- Life insurance
- Long-term disability
- Paid Holidays
- Short-term disability
- Vision insurance
Skills/Tech-stack
AWS | Agile | Azure | Bitbucket | CI/CD | Constrained optimization | Cvxpy | Dash | Data Visualization | Docker | Forecasting | GCP | Git | GitHub | GitLab | Grafana | Jupyter Notebook | Kibana | Kubernetes | Machine Learning | Matplotlib | NumPy | Pandas | Plotly | PyTorch | Python | REST API | SQL | Scikit-learn | Seaborn | Series analysis | Statistical modeling | Streamlit | TensorFlow | Time Series | Time Series Analysis
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
Language: en
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