Associate Data Scientist - Energy Analytics & ML Impact

Transmission & Distribution World; Northern (KY); Hybrid; USD 59,000 - 81,000; Full time

Benefits offered by this job

Annual salary range: $59,200–$81,400

Annual bonus: 7%

401(k) match

Medical, dental and vision insurance

Life and disability insurance

Generous paid time off

Employee Assistance Program

Tuition reimbursement

Referral bonus program

Job summary

Exelon is seeking a data scientist to apply ML and analytics to smart grid and IoT data, collaborating with stakeholders to turn insights into action. You will build predictive models, analyze diverse data sources, and support strategic initiatives across business units.

The role emphasizes translating findings into practical recommendations, communicating with executives, and fostering ongoing learning in a fast-moving utility environment. Expect extended hours during storms or emergencies.

Qualifications

• Bachelor's or Master's degree from a leading program in a Quantitative discipline. Ex: Applied Mathematics, Computer Science, Finance, Operations Research, Physics, Statistics, or related field
• Intern experience in a data science position or previous research or professional experience applying advanced analytic techniques to large, complex datasets.
• Strong knowledge in at least two of the following areas: machine learning, artificial intelligence, statistical modeling, data mining, information retrieval, or data visualization.
• Demonstratable experience in your analytics/statistics/visualization platform of choice, but preferably in the MS Azure suite as well as Python, SQL. using big data technologies like Spark, Dask, etc.
• Ability to translate data analysis and findings into coherent conclusions and actionable recommendations to business partners, practice leaders, and executives. Strong oral and written communication skills.

Responsibilities

• Develop key predictive models that lead to delivering a premier customer experience, operating performance improvement, and increased safety best practices.
• Analyze data using advanced analytics techniques in support of process improvement efforts using modern analytics frameworks, including but not limited to Python, R, Scala, or equivalent; Spark, Hadoop file system and others
• Access and analyze data sourced from various Company systems of record. Support the development of strategic business, marketing, and program implementation plans.
• Provide expert data and analytics support to multiple business units
• Access and enrich data warehouses across multiple Company departments. Build, modify, monitor and maintain high-performance computing systems.

Skills

Machine learning

Artificial intelligence

Statistical modeling

Data mining

Data visualization

Education

Bachelor's degree in quantitative discipline

Master's degree (preferred)

Tools

Azure

Python

SQL

Spark

Dask

Job description

Exelon is seeking a data scientist to apply ML and analytics to smart grid and IoT data, collaborating with stakeholders to turn insights into action. You will build predictive models, analyze diverse data sources, and support strategic initiatives across business units.

The role emphasizes translating findings into practical recommendations, communicating with executives, and fostering ongoing learning in a fast-moving utility environment. Expect extended hours during storms or emergencies.