Data Scientist (Transmission & Substation Engineering)
Villa Park, IL
Full-time
Hybrid
$74K/yr - $102K/yr
Entry, Mid Level
Exelon is leading the energy transformation and is seeking a Data Scientist to apply scientific methods to extract insights from various data types. The role involves developing predictive models, analyzing data for process improvements, and collaborating with stakeholders to inform decision making.
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
Qualification
Required
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
2-4 years of relevant experience analyzing multi-terabyte datasets is required (industry or academia). Previous research or professional experience applying advanced analytic techniques to large, complex datasets. Minimum of 1-2 years of professional experience in a data scientist role
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. Experience developing in Unix, using big data technologies like Spark, Dask, 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
Master's or PhD from a leading program in a Quantitative discipline
Prior exposure to data structures pertaining to smart-meters, billing, or outage management systems. Prior exposure to the utilities or broader energy sector
Solid understanding of relevant theories in machine learning, statistics, probability theory, data structures and algorithms, optimization, etc
Expert level coding skills (Python, R, Scala, etc), and experience developing in a Unix environment
Ability to translate executive and analytics leaders vision and guidance into methods and analytics. Strong time management and presentation skills. Experience presenting to diverse audiences including presenting to conferences and business symposia
Benefit
Annual Bonus for eligible positions: 10%
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
Exelon Corporation is a utility services holding company that provides services for energy generation businesses in the United States.
