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Senior Data Scientist – Energy
| Company | Avathon |
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| Location | Austin, TX, USA |
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| Salary | $150000 – $185000 |
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| Type | Full-Time |
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| Degrees | Master’s, PhD |
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| Experience Level | Senior |
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Requirements
- Experience with research-level innovation in Data Science and ML, preferably with an advanced degree.
- 3-5 years of experience in the energy industry, with extensive knowledge of AI-based modeling, simulation and optimization
- Strong understanding of Data Science, including machine learning, statistics, probability, and modeling.
- Significant experience with Data Science programming languages, such as Python, R, Matlab
- Significant experience with machine learning frameworks, such as PyTorch, TensorFlow, Theano, and Keras.
- Applied knowledge of ML techniques/algorithms including linear models, neural networks, decision trees, Bayesian techniques, clustering, and anomaly detection
- Significant experience managing large volumes of data (terabytes or more)
- Experience with leading project teams, specifically data science teams
- Strong written and verbal communications, ability to translate complex technical topics to internal and external stakeholders.
Responsibilities
- Independently and effectively engage with internal product developers, external customers, and subject matter experts to understand and solve critical technical challenges through the application of cutting-edge artificial intelligence
- Conduct research and design technical solutions that improve models for commercial and industrial applications, such as anomaly detection, simulation, optimization, forecasting, etc
- Conduct research on core challenges facing applications of artificial intelligence, such as transparency, explainability, transferability and continuous learning
- Pioneer procedures and/or automated toolsets to more efficiently and effectively perform data science activities
- Contribute to AI product development and key data science research areas, internally and externally
- Propose new projects or initiatives that will yield business benefits and evaluate project plans and proposals
- Evaluate and respond to RFPs related to artificial intelligence
- Conduct research and write patent applications and technical publications
- Serve as a people manager to other data scientists, as needed
Preferred Qualifications
No preferred qualifications provided.
