Pay
In line with similar jobs
$104K–$143K against $118K–$193K, the middle half of what similar US postings state.
From 3,721 postings in the last year. Stated ranges, not salaries paid.
Senior Data Scientist
Oakbrook Terrace, Illinois
Live, first seen by us 20 days ago- Pay
$104,000–143,000/year — pay source
Benefits Annual salary will vary based on a candidate’s skills, qualifications, experience, and other factors: $104,000.00/Yr. – $143,000.00/Yr. Annual Bonus for eligible positions: 15%
Read the full posting- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: FULL_TIME
From the employer’s posting
What you’ll work on
Full postingDevelop predictive models for customer experience, operating performance and safety
Mine big and small datasets for insights using advanced statistics and machine learning
Collect, cleanse and analyze data from internal and external sources
Validate findings with the business and explain them to non-technical stakeholders
Support business unit strategic planning with machine learning analysis and advice
From the employer’s posting
Develop key predictive models that lead to delivering a premier customer experience, operating performance improvement, and increased safety best practices.
Mine big and small data for insights, using advanced statistic and machine learning methods.
Collect, cleanse, standardize and analyze data from a variety of internal and external sources.
Validate findings with the business by sharing analysis outputs in a way that can be understood by business stakeholders.
Support business unit strategic planning while providing a strategic view on machine learning technologies.
What you’ll bring
All qualificationsCore experience
- 4-7 years of relevant experience developing hypotheses, applying machine learning algorithms, validating results to analyze multi-terabyte datasets and extracting actionable insights is required.
- Experience working within an open source environment and Unix-based OS.
- Communication Skills: Ability to translate data analysis and findings into coherent conclusions and actionable recommendations to business partners, practice leaders, and executives.
Preferred experience
- Experience: Experience applying data science to electric utility, energy, industrial, or asset-intensive environments.
- Experience supporting the full data science lifecycle, including use case framing, data acquisition, preparation, modeling, validation, communication, deployment support, and ongoing performance monitoring.
- Experience working with large-scale relational, columnar, cloud, lakehouse, or big data platforms; building reproducible analytics workflows; querying and joining complex data; and partnering with data engineering or technology teams to prepare solutions for operational use.
- Communication Skills: Ability to translate leader and stakeholder priorities into analytical methods, decision-support products, and actionable recommendations.
Qualification wording
4-7 years of relevant experience developing hypotheses, applying machine learning algorithms, validating results to analyze multi-terabyte datasets and extracting actionable insights is required. Previous research or professional experience applying advanced analytic techniques to large, complex datasets.
Technical Knowledge: Proven experience in developing and deploying predictive analytics projects using one or more leading languages (Python, R, Scala, etc.). Experience working within an open source environment and Unix-based OS.
Communication Skills: 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.
Experience: Experience applying data science to electric utility, energy, industrial, or asset-intensive environments. Exposure to smart meter, grid, outage, maintenance, asset health, inspection, work management, or customer data. Experience supporting the full data science lifecycle, including use case framing, data acquisition, preparation, modeling, validation, communication, deployment support, and ongoing performance monitoring. Thrives in complex, data-rich environments. Enjoys learning new and legacy technologies, untangling imperfect data, understanding how information flows through the organization, and building scalable processes that turn data into actionable insights and business value.
Technical Knowledge: Advanced coding skills in Python, R, Scala, SQL, or equivalent languages. Experience working with large-scale relational, columnar, cloud, lakehouse, or big data platforms; building reproducible analytics workflows; querying and joining complex data; and partnering with data engineering or technology teams to prepare solutions for operational use.
Communication Skills: Ability to translate leader and stakeholder priorities into analytical methods, decision-support products, and actionable recommendations. Strong presentation, storytelling, facilitation, time management, and stakeholder engagement skills.
Education & alternatives
Minimum Qualifications - Education: Bachelor's degree in a Quantitative discipline. Ex: Applied Mathematics, Computer Science, Finance, Operations Research, Physics, Statistics, or related field. - 4-7 years of relevant experience developing hypotheses, applying machine learning algorithms, validating results to analyze multi-terabyte datasets and extracting actionable insights is required. Previous research or professional experience applying advanced analytic techniques to large, complex datasets.
Preferred Qualifications - Education: Master’s degree or PhD in a quantitative discipline such as Applied Mathematics, Computer Science, Data Science, Engineering, Operations Research, Physics, Statistics, or a related field. - Experience: Experience applying data science to electric utility, energy, industrial, or asset-intensive environments. Exposure to smart meter, grid, outage, maintenance, asset health, inspection, work management, or customer data. Experience supporting the full data science lifecycle, including use case framing, data acquisition, preparation, modeling, validation, communication, deployment support, and ongoing performance monitoring. Thrives in complex, data-rich environments. Enjoys learning new and legacy technologies, untangling imperfect data, understanding how information flows through the organization, and building scalable processes that turn data into actionable insights and business value.
Benefits in the posting
Full benefits wording- Annual salary will vary based on a candidate’s skills, qualifications, experience, and other factors: $104,000.00/Yr. – $143,000.00/Yr.
- Annual Bonus for eligible positions: 15%
- 401(k) match and annual company contribution
- Medical, dental and vision insurance
- Life and disability insurance
- Generous paid time off options, including vacation, sick time, floating and fixed holidays, maternity leave and bonding/primary caregiver leave or parental leave
- Employee Assistance Program and resources for mental and emotional support
- Wellbeing programs such as tuition reimbursement, adoption and surrogacy assistance and fitness reimbursement
- Referral bonus program
- And much more
- Note: Exelon-sponsored compensation and benefit programs may vary or not apply based on length of service, job grade, job classification or represented status. Eligibility will be determined by the written plan or program documents.
From the employer’s posting.
About ComEd
Exelon is helping build a more affordable, reliable energy future for the communities we serve.
In the employer’s words · Read in context
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 16, 202620 days ago
- Recorded sightings
- 10
- Last seen by us
- Nov 3, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 20
Similar jobs usually come down between day 7 and day 56.
At ComEd, jobs usually come down by about day 40.
From 10,180 similar postings that came down, and 8 of ComEd’s. Coming down is not always a hire.
ComEd is hiring
3 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Data Scientist hiring is picking up
- Takes jobs down at a usual pace
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- R
- Scala
- SQL
- Hadoop
- Spark
Where the posting names them
- Develop key predictive models that lead to delivering a premier customer experience, operating performance improvement, and increased safety best practices. Develop and recommend data sampling techniques, data collections, and data cleaning specifications and approaches. Apply missing data treatments as needed. (25%) - 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 (15%) - Access and analyze data sourced from various Company systems of record. Support the development of strategic business, marketing, and program implementation plans. (15%)
- Analytical Abilities: Strong knowledge in at least two of the following areas: machine learning, artificial intelligence, statistical modeling, data mining, information retrieval, or data visualization. - Technical Knowledge: Proven experience in developing and deploying predictive analytics projects using one or more leading languages (Python, R, Scala, etc.). Experience working within an open source environment and Unix-based OS. - Communication Skills: 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.
- Analytic Abilities: Strong understanding of machine learning, statistics, probability theory, optimization, causal inference, natural language processing, data structures, algorithms, model validation, and responsible AI practices. - Technical Knowledge: Advanced coding skills in Python, R, Scala, SQL, or equivalent languages. Experience working with large-scale relational, columnar, cloud, lakehouse, or big data platforms; building reproducible analytics workflows; querying and joining complex data; and partnering with data engineering or technology teams to prepare solutions for operational use. - Communication Skills: Ability to translate leader and stakeholder priorities into analytical methods, decision-support products, and actionable recommendations. Strong presentation, storytelling, facilitation, time management, and stakeholder engagement skills.
Your next step
Complete your application on careers-comed.icims.com. The employer’s form will show what is required.
Applying through iCIMS
- You start with your email. New applicants then create a login, and returning ones sign in.
- Upload your resume before you fill anything in: iCIMS fills some profile fields from it.
- Check your status on the employer’s iCIMS Dashboard, under Past Job Submittals.
Already applied? Track this application
Has ComEd posted this job before?
Yes. We’ve followed one other Senior Data Scientist job there since May 2026. It is still up.
About ComEd
- People
- About 20,243 in 2024.Benefit plan filings (Form 5500)
- Company
- Listed as EXC.
Demand for Data Scientist roles
New Data Scientist postings at the employers we follow are down 3% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
US government figures for data scientists
- Median yearly pay, May 2025
- $120,230
- Expected change, 2025 to 2035
- 34.6% more jobsagainst 3.5% for all jobs
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
Job description
Who We Are
Exelon is helping build a more affordable, reliable energy future for the communities we serve. We're looking for people who are ready to make a difference and work together to deliver the energy our customers count on every day.
As a Fortune 200 company and one of the nation's largest utility companies, we have more than 20,000 colleagues who serve nearly 11 million customers through six fully regulated utilities - Atlantic City Electric (ACE), Baltimore Gas and Electric (BGE), Commonwealth Edison (ComEd), Delmarva Power & Light (DPL), PECO Energy Company (PECO), and Potomac Electric Power Company (Pepco).
Exelon is built by people who put safety first, work together to solve problems and show up every day for our customers and communities. We believe strong teams are built on trust, respect and a shared commitment to high-performance culture. And our commitment to employees includes creating an environment where people can grow, develop new skills and build thriving careers.
We know this work isn't easy. That's why we offer competitive compensation, incentives, excellent benefits and the opportunity to build a rewarding career. No matter your role, you will be part of a team that is committed to making a difference, improving how we work and delivering for the people who depend on us.
Are you on for the challenge?
Primary Purpose
Primary Duties
Job Scope
Minimum Qualifications
Preferred Qualifications
Benefits
Note: Exelon-sponsored compensation and benefit programs may vary or not apply based on length of service, job grade, job classification or represented status. Eligibility will be determined by the written plan or program documents.
Exelon is helping build a more affordable, reliable energy future for the communities we serve. We're looking for people who are ready to make a difference and work together to deliver the energy our customers count on every day.
As a Fortune 200 company and one of the nation's largest utility companies, we have more than 20,000 colleagues who serve nearly 11 million customers through six fully regulated utilities - Atlantic City Electric (ACE), Baltimore Gas and Electric (BGE), Commonwealth Edison (ComEd), Delmarva Power & Light (DPL), PECO Energy Company (PECO), and Potomac Electric Power Company (Pepco).
Exelon is built by people who put safety first, work together to solve problems and show up every day for our customers and communities. We believe strong teams are built on trust, respect and a shared commitment to high-performance culture. And our commitment to employees includes creating an environment where people can grow, develop new skills and build thriving careers.
We know this work isn't easy. That's why we offer competitive compensation, incentives, excellent benefits and the opportunity to build a rewarding career. No matter your role, you will be part of a team that is committed to making a difference, improving how we work and delivering for the people who depend on us.
Are you on for the challenge?
Primary Purpose
Apply the scientific method to extract knowledge and insights from data, which may take the form of time-series
(smart-meters, smart-grid, and other IoT), structured (relational data stores), and unstructured (text and multi-media) data sets. Closely collaborate with various internal stakeholders, information architects, data engineers, project/program managers, and other teams to turn data into critical information to inform decision making. This requires understanding business needs, providing and receiving regular feedback, and planning the proper transfer of developed solutions. Mine big and small data for insights, using advanced statistic and machine learning methods. Validate findings with the business by sharing analysis outputs in a way that can be understood by business stakeholders. Become a subject matter expert in the areas of artificial intelligence, machine learning, feature engineering, data mining, and data manipulation/storage. Demonstrate commitment to continuous learning and professional development in technical subject matter. Share knowledge with team members, and business stakeholders, and IT partners. Collect, cleanse, standardize and analyze data from a variety of internal and external sources. Produce novel insights to help inform business actions using statistical modeling and machine learning techniques on complex data-sets on the order of several terabytes or petabytes. Position may be required to work extended hours for coverage during storms or other energy delivery emergencies.
Primary Duties
- Develop key predictive models that lead to delivering a premier customer experience, operating performance improvement, and increased safety best practices. Develop and recommend data sampling techniques, data collections, and data cleaning specifications and approaches. Apply missing data treatments as needed. (25%)
- 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 (15%)
- Access and analyze data sourced from various Company systems of record. Support the development of strategic business, marketing, and program implementation plans. (15%)
- Access and enrich data warehouses across multiple Company departments. Build, modify, monitor and maintain high-performance computing systems. (5%)
- Provide expert data and analytics support to multiple business units (20%)
- Works with stakeholders and subject matter experts to understand business needs, goals and objectives. Work closely with business, engineering, and technology teams to develop solution to data-intensive business problems and translates them into data science projects. Collaborate with other analytic teams across Exelon on big data analytics techniques and tools to improve analytical capabilities. (20%)
Job Scope
- Support business unit strategic planning while providing a strategic view on machine learning technologies.
- Advice and counsel key stakeholders on machine learning findings and recommend courses of action that redirect resources to improve operational performance or assist with overall emerging business issues.
- Provide key stakeholders with machine learning analyses that best positions the company going forward.
- Educate key stakeholders on the organizations advance analytics capabilities through internal presentations, training workshops, and publications.
Minimum Qualifications
- Education: Bachelor's degree in a Quantitative discipline. Ex: Applied Mathematics, Computer Science, Finance, Operations Research, Physics, Statistics, or related field.
- 4-7 years of relevant experience developing hypotheses, applying machine learning algorithms, validating results to analyze multi-terabyte datasets and extracting actionable insights is required. Previous research or professional experience applying advanced analytic techniques to large, complex datasets.
- Analytical Abilities: Strong knowledge in at least two of the following areas: machine learning, artificial intelligence, statistical modeling, data mining, information retrieval, or data visualization.
- Technical Knowledge: Proven experience in developing and deploying predictive analytics projects using one or more leading languages (Python, R, Scala, etc.). Experience working within an open source environment and Unix-based OS.
- Communication Skills: 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.
Preferred Qualifications
- Education: Master’s degree or PhD in a quantitative discipline such as Applied Mathematics, Computer Science, Data Science, Engineering, Operations Research, Physics, Statistics, or a related field.
- Experience: Experience applying data science to electric utility, energy, industrial, or asset-intensive environments. Exposure to smart meter, grid, outage, maintenance, asset health, inspection, work management, or customer data. Experience supporting the full data science lifecycle, including use case framing, data acquisition, preparation, modeling, validation, communication, deployment support, and ongoing performance monitoring.
Thrives in complex, data-rich environments. Enjoys learning new and legacy technologies, untangling imperfect data, understanding how information flows through the organization, and building scalable processes that turn data into actionable insights and business value.
- Organizational Agility: The ability to ingest data from a variety of sources, whose age, structure, and data quality will vary. The willingness to consistently seek stakeholder perspective on understanding.
- Analytic Abilities: Strong understanding of machine learning, statistics, probability theory, optimization, causal inference, natural language processing, data structures, algorithms, model validation, and responsible AI practices.
- Technical Knowledge: Advanced coding skills in Python, R, Scala, SQL, or equivalent languages. Experience working with large-scale relational, columnar, cloud, lakehouse, or big data platforms; building reproducible analytics workflows; querying and joining complex data; and partnering with data engineering or technology teams to prepare solutions for operational use.
- Communication Skills: Ability to translate leader and stakeholder priorities into analytical methods, decision-support products, and actionable recommendations. Strong presentation, storytelling, facilitation, time management, and stakeholder engagement skills.
Benefits
- Annual salary will vary based on a candidate’s skills, qualifications, experience, and other factors: $104,000.00/Yr. – $143,000.00/Yr.
- Annual Bonus for eligible positions: 15%
- 401(k) match and annual company contribution
- Medical, dental and vision insurance
- Life and disability insurance
- Generous paid time off options, including vacation, sick time, floating and fixed holidays, maternity leave and bonding/primary caregiver leave or parental leave
- Employee Assistance Program and resources for mental and emotional support
- Wellbeing programs such as tuition reimbursement, adoption and surrogacy assistance and fitness reimbursement
- Referral bonus program
- And much more
Note: Exelon-sponsored compensation and benefit programs may vary or not apply based on length of service, job grade, job classification or represented status. Eligibility will be determined by the written plan or program documents.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
Benefits Annual salary will vary based on a candidate’s skills, qualifications, experience, and other factors: $104,000.00/Yr. – $143,000.00/Yr. Annual Bonus for eligible positions: 15%
- Location & working pattern
Oakbrook Terrace, Illinois
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.