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Senior Data Scientist
Skills
OOPRelational DatabasesSQLData ScienceDatabasesDatasetsPredictive Analytics
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Strong quantitative background with a proven track record in scientific computing and statistical analysis
- Proficiency in Python SQL and the data science stack (e.g. Pandas NumPy SciPy Matplotlib Seaborn)
- Experience with machine learning techniques and libraries (e.g. scikit-learn TensorFlow PyTorch)
- Knowledgeable about software engineering best practices including version control code review and testing
- Ability to navigate ambiguity and thrive in a fast-paced environment
Nice to have
- Advanced proficiency in Python
- Experience with geospatial data
- Familiarity with DevOps practices
- Knowledge of MLOps practices
- Experience with RESTful APIs
- Experience in clean energy space
Day to day
- Collaborate closely with product and engineering teams to help customers take control of their energy
- Develop and enhance building energy modeling (BEM) algorithms and capabilities
- Source vet clean process and analyze large volumes of energy-related data
- Build and maintain machine learning models data visualizations back-end services APIs and oversee their deployment
- Contribute broadly to the team’s software development efforts by leveraging data science expertise