Mgr Data Science

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. Leverage these insights to deploy data‑driven applications in support of strategic business priorities. Possess an advanced knowledge of predictive modeling techniques and prior exposure with high‑performance computing technologies.

Use your skills to manage several projects running in parallel. Closely collaborate with various internal stakeholders and external partners to understand business needs, by providing and receiving regular feedback. Use these collaborations to plan, execute, and deploy analytics‑based solutions.

Position may be required to work extended hours for coverage during storms or other energy delivery emergencies.

• 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 a 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.

• Bachelor's degree in a Quantitative discipline (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. 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 for successfully managing people and delivering projects on time.
• Demonstrable strong knowledge in 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…