Position Details
About this role
This role involves designing and deploying predictive models to optimize energy operations, forecast demand, and enable intelligent decision-making using advanced data science techniques.
Key Responsibilities
- Build predictive models
- Deploy ML solutions
- Transform legacy data
- Collaborate with engineering
- Communicate insights
Technical Overview
Focus on ML and statistical modeling using Python, PySpark, Spark, and cloud platforms, with applications in energy forecasting and demand response.
Ideal Candidate
The ideal candidate is a mid-level data scientist with 5+ years of experience in predictive modeling, machine learning, and large-scale data analysis, preferably within energy or IoT sectors. Strong skills in Python and distributed computing are essential.
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 experience with predictive modeling or ML, No proficiency in Python or distributed computing, Limited experience in energy or IoT data environments
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