Senior Data Scientist

PSEG•Newark, NJ

4d•$93,600 - $148,200•Hybrid

About The Position

PSEG is seeking a highly skilled and motivated Senior Data Scientist to transform raw data into actionable insights that support strategic decisions across the organization. The role works with Customer Analytics, IT, business stakeholders, and vendors to develop visualized analytics solutions for Customer Solutions, including AI/ML models. The position analyzes customer behavior and journey patterns to identify friction points and develop ways to improve customer experience. It also involves preparing PowerPoint presentations that summarize analysis for senior management. The successful candidate will use data from multiple sources to create data models and interactive Power BI dashboards, help optimize data pipelines, and deliver insights based on operational and non-operational data. The position is hybrid, with at least three onsite days per week. PSEG is not offering visa sponsorship for this position.

Requirements

Bachelor’s degree in data science, engineering, computer science, information technology, information systems, mathematics, or a related field.
Five years of knowledge and experience with data mining techniques, data modeling, statistical analysis, and algorithms.
Five years of experience using SQL and developing and maintaining ETL workflows with SQL Server Integration Services (SSIS); school projects or assignments may count.
Five years of experience leveraging AWS services to deploy scalable data pipelines and analytics solutions; school projects or assignments may count.
Five years of experience in Python coding; school projects or assignments may count.
Attention to detail and experience working with large data sets.
Excellent verbal and written communication skills, including the ability to explain technical concepts clearly and succinctly to non-technical stakeholders.
Results-oriented, data-driven, and self-starting.
Compliance with the Department of Energy’s regulation 10 CFR 810 is required.

Nice To Haves

Advanced degree, such as a master’s degree in data science, data analytics, computer science, information technology, or a related field.
Knowledge of OSI PI products, including OSI PI Architecture, PI AF hierarchy, and analytics.

Responsibilities

Collect, summarize, analyze, and deliver insights and data products using data from multiple sources, and develop data models for Power BI dashboards.
Design, develop, and maintain interactive Power BI dashboards that provide actionable insights to stakeholders.
Identify valuable data sources and assist in optimizing data pipelines to ensure data quality, integrity, and security.
Facilitate business requirements sessions among business stakeholders, IT, and vendors.
Facilitate and execute testing among business stakeholders, IT, and vendors.
Transform data into analytics solutions, including AI/ML solutions, to support decisions about initiatives to improve customer experience.
Analyze operational and non-operational data to deliver insights that contribute to improvements.
Apply statistical analysis and data mining techniques to validate assumptions and build scenarios.
Interpret data to discover solutions, identify opportunities, and support decision-making.
Communicate results and insights effectively to subject matter experts and cross-functional teams.
Design and develop interactive Power BI dashboards and visualizations that translate complex data and analytical outputs into actionable business insights.
Synthesize analysis, recommendations, and actionable insights in PowerPoint presentations for management.