Role overview
Support strategic initiatives within Customer Operations Data Analytics (CODA). 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. Train state of the art algorithmical models, including but not limited to tree-based approaches and neural networks, and implement those models into a production environment following the established MLOps approaches. Closely collaborate with various internal stakeholders, information architects, data engineers, project/program managers, and other teams to turn data into analytics-driven products and inform decision making. This requires understanding business needs, providing and receiving regular feedback, and planning the proper transfer of developed solutions. 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, and high-performance computing. Demonstrate commitment to continuous learning and professional development in technical subject matter. Share knowledge with team members, and business stakeholders, and IT partners. A successful candidate will quickly adopt the team's established working processes and toolkit while growing his/her knowledge of the utilities industry. Position may be required to work extended hours for coverage during storms or other energy delivery emergencies.
Primary Duties:
What you'll work on
- Develop key predictive models that lead to delivering a premier customer experience, operating performance improvement, and increased safety best practices (35%)
- Analyze data using advanced analytics techniques in support of process improvement efforts using modern analytics frameworks, including � but not limited to � Python, Power Platform, Azure, Databricks, or equivalent; Spark, cloud file system and others (20%)
- Access and analyze data sourced from various Company systems of record. Support the development of strategic business, marketing, and program implementation plans. (20%)
- Provide expert data and analytics support to multiple business units (20%)
- Access and enrich data warehouses across multiple Company departments. Build, modify, monitor and maintain high-performance computing systems. (5%)
What we're looking for
- 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, automation, etc.
- Expert level coding skills (Python, SQL, DAX, etc), and experience developing production ready machine learning products.
- 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.
Benefits:
- Annual salary will vary based on a candidate’s skills, qualifications, experience, and other factors: $74,400.00/Yr. – $102,300.00/Yr.
- 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
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.