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This company has changed what it means to be in energy tech! As the leading software as a service company, they have committed to delivering the best predictive and prescriptive analytics to companies looking to solve tough questions as it pertains to several unique and continuously evolving needs within the energy industry. Their engineering department currently consists of 4 teams largely across development and data, as well as teams addressing unique geospatial product needs. They are looking to hire a junior-mid level data scientist for a contracting position, working on developing machine learning and predictive models that will directly impact their Energy Analytics team, that plays a pertinent part in their services and business. This person should have 1-2 years of professional experience doing data science within a production environment. Their stack includes, but is not limited to- Python, Pandas, Numpy, GeoPandas, Tensorflow, PyTorch, and AWS. Bonus points if you have any foundation within software engineering, as well as experience with optimization. Contract Duration: 12 Months (potential for conversion after this period) Required Skills & Experience
- Python
- Python Data Libraries
- Experience with ML and predictive modeling
- Extremely strong communication skills
- Eager to learn
- Optimization
- AWS
- Software engineering fundamentals
- Deep Learning
- 80% Engineering (coding/developing models)
- 20% Analytics
- 100% Hands On