Prin Data Scientist

Data Scientist

WORK LOCATIONS:

401 Eagle Run Road, Newark, Delaware 19702

701 9th Street. NW Washington, Washington, DC 20068

5 Collins Drive Carneys Point, New Jersey 08069

PRIMARY PURPOSE OF POSITION:

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 stakeholder and external partners to understand business needs, by providing and receiving regular feedback. Use these collaborations to plan, execute, and deploy analytics-based solutions. Mentor to more junior peers and oversee their activities where needed. Provide subject matter expertise in the areas of artificial intelligence, machine learning, feature engineering, data mining, data manipulation/storage, and high-performance computing. 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 AND ACCOUNTABILITIES:

• 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 limited to: Python, R, Scala, or equivalent; Spark/PySpark; DataBricks; GPU-based computing systems
• Access and analyze data sourced from various Company systems of record. Lead the development of strategic business, marketing, and program implementation plans.
• Access and enrich data warehouses across multiple Company departments. Build, modify, monitor and maintain high-performance computing systems.
• Provide expert data and analytics support to multiple business units. Provide guidance and be a mentor to junior peers.
• Represent the Company at analytics focused industry forums and peer group events, bringing back leading practices to evolve the Company's analytics maturity.