Exelon · 2 days ago
Sr Data Scientist
Philadelphia, PA
Full-time
Onsite
Mid, Senior Level
$104K/yr - $143K/yr
4+ years expExelon is leading the energy transformation and is seeking a Senior Data Scientist to apply scientific methods to extract insights from various data sets. The role involves collaborating with internal stakeholders to turn data into critical information for decision making, using advanced statistical and machine learning methods.
Clean EnergyCommunitiesEnergy
Responsibilities
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%)
Qualification
Required
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
Strong knowledge in at least two of the following areas: machine learning, artificial intelligence, statistical modeling, data mining, information retrieval, or data visualization
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
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
Education: Masters, or PhD in a Quantitative discipline. Ex: Applied Mathematics, Computer Science, Finance, Ops Research, Physics, Statistics, or related field
Prior exposure to data structures pertaining to smart-meters, billing, or outage management systems. Prior exposure to the utilities or broader energy sector. Prior exposure to the full spectrum of data science lifecycle, including data acquisition, maintenance, processing, analysis, and communication
Solid understanding of relevant theories in machine learning, statistics, probability theory, data structures and algorithms, optimization, etc
Expert level coding skills (Python, R, Scala, SQL, etc), and experience developing in a Unix environment. Proficiency in database management and large datasets: create, edit, update, join, append and query data from google big query and big data platforms. Proficient in PowerBI
Ability to translate executive and analytics leaders' vision and guidance into methods and analytics. Strong time management and presentation skills
Benefits
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
Company
Exelon
Exelon Corporation is a utility services holding company that provides services for energy generation businesses in the United States.
10001+ employees
H1B Sponsorship
Exelon has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (8)
2024 (7)
2023 (5)
2022 (6)
2021 (4)
2020 (1)
Funding
Current Stage
Public CompanyTotal Funding
$900M2025-12-01Post Ipo Debt· $900M
2019-09-25IPO
Leadership Team
Calvin G Butler
President and Chief Executive Officer
M. Bridget Reidy
Executive Vice President and Chief Operating Officer of Exelon
Recent News
2025-12-24
MarketScreener
2025-12-08
Company data provided by crunchbase