Senior Data Scientist, Energy Analytics Leader

Constellation Energy Corp.; Austin (TX); On-site; USD 131,000 - 145,000; Full time

Job summary

Constellation Energy Corp. in Austin, TX, seeks an accomplished Data Scientist to apply advanced analytics to power plant and operational data. You will collaborate with engineers, IT, and business leaders to extract insights and drive decisions using ML and statistical methods.

You will collect, cleanse, and model terabytes of data, develop predictive models, and communicate findings to executives. A quantitative degree and 5–8 years of experience are expected, with strong Python/R skills.

Qualifications

• Bachelor's degree in a quantitative field (data science, statistics, CS).
• 5–8 years of experience applying ML to large datasets.
• Ability to translate analysis into actionable business recommendations.
• Experience with Python or R and deploying predictive analytics.
• Strong communication skills.

Responsibilities

• Develop predictive models to reduce expenses and optimize performance.
• Analyze data using analytics frameworks (Python, R, Scala) and big data tools.
• Access and analyze data from company systems; support strategic plans.
• Enrich data warehouses; build and maintain high-performance computing systems.
• Provide expert data and analytics support to multiple business units.
• Collaborate with stakeholders to translate needs into data science projects.
• Collaborate with other analytics teams across Exelon.

Skills

Machine learning

Artificial intelligence

Statistical modeling

Data mining

Data visualization

Education

Bachelor's degree in quantitative field

Master's or PhD preferred

Tools

Python

R

Scala

SQL

Databricks

Job description

Constellation Energy Corp. in Austin, TX, seeks an accomplished Data Scientist to apply advanced analytics to power plant and operational data. You will collaborate with engineers, IT, and business leaders to extract insights and drive decisions using ML and statistical methods.

You will collect, cleanse, and model terabytes of data, develop predictive models, and communicate findings to executives. A quantitative degree and 5–8 years of experience are expected, with strong Python/R skills.