Assoc Data Scientist — Energy Analytics (Hybrid)

Exelon; Chicago (IL); On-site; USD 59,000 - 81,000; Full time

Benefits offered by this job

401(k) match

Medical, dental, and vision

Life and disability insurance

Paid time off

Employee Assistance Program

Wellbeing programs

Tuition reimbursement

Adoption and surrogacy support

Referral bonus

Job summary

Exelon is seeking an Assoc Data Scientist in Lombard, IL. The role blends data science with business collaboration to turn complex data into actionable insights. The team values diverse perspectives and a strong work ethic.

The position is hybrid, requiring in-office presence at least three days per week in Lombard. Candidates should be proficient in ML, Python, SQL, and data visualization, and eager to learn the utilities domain.

Qualifications

• Bachelor's or Master's degree in a quantitative field (e.g., Math, CS, OR, Stats).
• Internship/experience applying analytics to large datasets.
• Knowledge in two+ areas: ML/AI, statistical modeling, data mining, or data visualization.

Responsibilities

• Develop predictive models to improve customer experience, operations, and safety.
• Analyze data with advanced analytics tools (Python, R, Scala; Spark, Hadoop).
• Access and analyze data from various company systems; support strategic plans.
• Provide analytics support across multiple business units.
• Work to maintain high-performance computing data environments.

Skills

Machine learning

Statistical modeling

Data visualization

Data mining

Big data analytics

Education

Bachelor's or Master's in quantitative field

Master's preferred

Tools

Python

SQL

PowerBi

PowerApp

Azure

Spark

Dask

Job description

Exelon is seeking an Assoc Data Scientist in Lombard, IL. The role blends data science with business collaboration to turn complex data into actionable insights. The team values diverse perspectives and a strong work ethic.

The position is hybrid, requiring in-office presence at least three days per week in Lombard. Candidates should be proficient in ML, Python, SQL, and data visualization, and eager to learn the utilities domain.