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.

Primary Duties

• 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.

Job Scope

Research and experiment on data science technologies, discover opportunities for new data analytics features, and influence product and technology strategies of the company.
Determine 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.

Minimum Qualifications

• 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.
• 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.
• 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.

Preferred Qualifications

• Masters, or PhD from a leading program in a Quantitative discipline.
• 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.
• Ability to clearly translate executive and analytics leaders' vision and guidance into methods and analytics.
• Strong time management and presentation skills.

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
• And much more