Position Details
About this role
This role involves analyzing large datasets, building predictive models, and deploying data science solutions within the energy sector to influence business decisions.
Key Responsibilities
- Analyze large datasets
- Partner with teams to implement predictive analytics
- Design and deploy data science solutions
- Perform statistical analysis and visualization
- Mentor and collaborate with data teams
Technical Overview
Utilizes Python, ML frameworks, Databricks, Spark, and Azure cloud services to develop and operationalize machine learning models, emphasizing MLOps and data analytics.
Ideal Candidate
The ideal candidate is a mid-level data scientist with 3+ years of experience in developing and deploying machine learning models, proficient in Python and cloud platforms like Azure and Databricks, with a strong analytical background and industry experience in energy or commodities trading.
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 Python or ML frameworks, No industry experience in energy or commodities trading, No experience with Databricks or Azure
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