Position Details
About this role
This role involves developing and deploying machine learning models to support business insights in the energy sector. The candidate will work with large datasets, advanced ML frameworks, and cloud platforms.
Key Responsibilities
- Analyze large datasets
- Build and deploy ML models
- Collaborate with data scientists and engineers
- Implement predictive analytics solutions
- Integrate models into business systems
Technical Overview
The position requires expertise in machine learning, data science, Python programming, and cloud services like Azure and Databricks. The environment involves complex data analysis, model deployment, and collaboration with cross-functional teams.
Ideal Candidate
The ideal candidate is a data scientist or machine learning engineer with 3+ years of experience deploying models in energy or commodities sectors. They are proficient in Python and ML frameworks, with a strong understanding of data analytics and cloud platforms.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of relevant industry experience, No proficiency in Python or ML frameworks, No experience with cloud platforms like Azure or Databricks, No experience deploying ML models, Inability to work in Houston, TX
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