Mgr Data Science

ComEd • Oak Brook, IL

4d

About The Position

Exelon is leading the energy transformation and is seeking problem solvers, innovators, community builders, and change makers to deliver solutions that make diverse cities and communities stronger, healthier, and more resilient. Exelon is a Fortune 200 company with 20,000 colleagues serving over 10.7 million customers across six energy companies. They are committed to creating an environment where every person can thrive, focusing on purposeful careers, growth opportunities, community impact, and support to thrive. Exelon values diverse voices, fresh perspectives, and bold thinking, and offers competitive compensation, incentives, excellent benefits, and the opportunity to build a rewarding career.

The Primary Purpose of this role is to apply the scientific method to extract knowledge and insights from various data sets (time-series, structured, and unstructured). The role involves leveraging these insights to deploy data-driven applications supporting strategic business priorities. The position requires advanced knowledge of predictive modeling techniques and prior exposure to high-performance computing technologies. The candidate will manage multiple projects in parallel, collaborate closely with internal stakeholders and external partners to understand business needs, and plan, execute, and deploy analytics-based solutions. This role also involves mentoring junior peers and overseeing their activities, providing subject matter expertise in artificial intelligence, machine learning, feature engineering, data mining, data manipulation/storage, and high-performance computing. A successful candidate will adopt established working processes and toolkits while growing their knowledge of the utilities industry. The position may require extended hours during storms or other energy delivery emergencies.

Requirements

• Bachelor's degree in a Quantitative discipline. Ex: Applied Mathematics, Computer Science, Finance, Operations Research, Physics, Statistics, or related field.
• 7-10 years of experience analyzing multi-terabyte datasets.
• Minimum of 3 years of experience applying advanced analytics techniques to diverse data sets data.
• Minimum of 3 years of experience in data mining in a business environment with large, complex datasets.
• 3-5 years of experience in a supervisory role, including mentoring and guiding junior peers, responsible to successfully managing people and delivering projects on time.
• Ability to build consensus, establish trust, communicate effectively and foster culture change.
• Demonstrable strong knowledge in 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.
• Experience presenting to diverse audiences including presenting to conferences and business symposia.

Nice To Haves

• Masters, or PhD from a leading program in a Quantitative discipline.
• Prior professional experience in the utilities or broader energy sector.
• Prior exposure to data structures and data governance pertaining to customer segmentation, smart-meters, billing, or outage management systems.
• Demonstrable strong knowledge around the full spectrum of data science lifecycle, including analytics-driven product delivery.
• Superior understanding of relevant theories in machine learning, statistics, probability theory, data structures and algorithms, optimization, etc.
• Ninja level coding skills (Python, R, Scala, etc) developing in a Unix environment.
• Proficiency in database management: create, edit, update, join, append and query data from columnar and big data platforms.
• Ability to clearly translate executive and analytics leaders' vision and guidance into methods and analytics.
• Strong time management and presentation skills.

Responsibilities

• Develop key predictive models that lead to delivering a premier customer experience, operating performance improvement, and increased safety best practices.
• Supervise and lead a diverse team of 4-6 direct reports and/or contracted labor, as well as strategic partners across Exelon.
• Provide accurate and timely feedback regarding performance.
• Develop and maintain an environment that fosters a high-performance culture and learning.
• Analyze data using advanced analytics techniques in support of process improvement efforts using modern analytics frameworks, including but limited to: Python, R, Scala, or equivalent; Spark/PySpark; Hadoop file system; GPU-based computing systems.
• Provide expert data and analytics support to multiple business units.
• Provide guidance and be a mentor to junior peers.
• Access and enrich data warehouses across multiple Company departments.
• Build, modify, monitor and maintain high-performance computing systems.
• Access and analyze data sourced from various Company systems of record.
• Lead the development of strategic business, marketing, and program implementation plans.
• Represent the Company at analytics focused industry forums and peer group events, bringing back leading practices to evolve the Company's analytics maturity.
• Research and experiment on data science technologies, discover opportunities for new data analytics features, and influence product and technology strategies of the company.
• Develop algorithms (machine learning, statistical modeling, optimization) that power data analytics solutions.
• Drive the productization of the algorithms either by writing high-quality, reusable code modules or advising the engineering teams on implementing the algorithms.
• Communicate research results effectively in written and spoken forms to various audiences including product managers, system engineers, business executives, and customers.
• Manage/ Lead team of up to 4-6 indirect or indirect employees and consultants.
• Become a trusted mentor to peers and collaborators.
• Educate the organization on data science technologies and data analytics through internal presentations, training workshops, and publications.
• Represent the organization and advocate its data analytics efforts and capabilities through external conferences and publication opportunities.

Benefits

• Annual salary will vary based on a candidate’s skills, qualifications, experience, and other factors: $128,800.00/Yr. – $177,100.00/Yr.
• Annual Bonus for eligible positions: 20%
• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Manager