You will be trusted to:

- Utilize strong knowledge of statistical methods, error types and calculations
- Demonstrate ETL/ELT best practices
- Provide familiarity with ERCOT and the electric power market
- Able to mine and synthesize data across internal and external sources to address business opportunities and discover meaningful energy market trends
- Collaborate with both business and IT partners to identify key use cases and define associated requirements

You qualify with:

- Six or more years’ experience in data science, statistics, economics, engineering, energy market simulation or other relevant experience.
- A degree(s) in data science, data engineering, statistics, economics, engineering, mathematics or a relevant field may be substituted per LCRA guidelines for certain years of experience.

You are a great fit with:

- Bachelor’s or higher degree in data science, data engineering, statistics, economics, engineering, mathematics or relevant field
- Proficient in writing queries to extract, manipulate, and analyze data from databases
- Experience in Python (Pandas, NumPy, PyTorch), SQL, Snowflake, GitHub, Excel, Power Query, Power BI, DAX, and other analytical and visualization tools
- Strong ‘Big Data’ handling and management skills
- Strong quantitative and analytical skills with attention to detail and accuracy
- Strong internal and external relationship skills
- Strong written and verbal communication skills

You gain:

- Competitive salary & medical, dental, vision and legal insurance

- Paid time off, including time for vacation, sick and family care leave

- 401(k) match up to 8% that includes a student loan 401(k) contribution program option

- Life and disability insurance

- Wellness program including wellness incentive

- Extensive learning & development programs

And more - all to create a compelling and rewarding work environment.