Senior Data Scientist - Hybrid ML for Energy Analytics

Exelon; Chicago (IL); Hybrid; USD 104,000 - 143,000; Full time

Benefits offered by this job

Competitive benefits

Job summary

Exelon is seeking a Sr Data Scientist in the Operations team, based in Oak Brook Terrace, Illinois. The role is hybrid, requiring collaboration with ComEd and other divisions to extract insights from terabyte-scale datasets using advanced ML techniques.

You will develop predictive models, apply data mining and statistical methods, and translate findings into strategic actions for energy delivery and customer operations. A strong background in Python/R/Scala and big data tools is essential.

Qualifications

• Education: Bachelor's degree in a quantitative discipline; Master’s/PhD preferred.
• 4-7 years of experience applying ML techniques to large datasets.
• Strong ability to translate analysis into actionable business recommendations.

Responsibilities

• Develop predictive models to improve customer experience and operations.
• Analyze data with Python, R, Scala, or equivalent; use Spark/Hadoop as needed.
• Collaborate with stakeholders to translate business needs into data science projects.
• Support multiple business units with expert data analytics.

Skills

Machine learning

Statistical modeling

Data mining

Data visualization

Artificial intelligence

Education

Bachelor's degree in a quantitative discipline

Master’s degree or PhD in a quantitative discipline

Tools

Python

R

Scala

SQL

Unix

Job description

Exelon is seeking a Sr Data Scientist in the Operations team, based in Oak Brook Terrace, Illinois. The role is hybrid, requiring collaboration with ComEd and other divisions to extract insights from terabyte-scale datasets using advanced ML techniques.

You will develop predictive models, apply data mining and statistical methods, and translate findings into strategic actions for energy delivery and customer operations. A strong background in Python/R/Scala and big data tools is essential.