Data Scientist

PSEG•Newark, NJ

3d•$79,400 - $125,600•Hybrid

About The Position

PSEG is seeking a highly skilled and motivated Data Scientist to transform raw data into actionable insights that inform strategic decisions. The role focuses on data analysis, AI/ML development, data visualization, data modeling, and data engineering, using AWS cloud services, Python, and Power BI. The Data Scientist will collaborate with Customer Analytics, IT, and other cross-functional teams to develop analytics solutions and AI/ML models for Customer Solutions, identify trends and friction points in the customer journey, analyze customer behavior, and recommend ways to improve the customer experience. The role also presents analysis to management through PowerPoint presentations.

Requirements

Bachelor’s degree in data science, engineering, computer science, information technology, information systems, statistics, or a related field.
2–5 years of knowledge and experience with data-mining techniques, data modeling, statistical analysis, and algorithms.
2–5 years of experience using SQL and developing and maintaining ETL workflows with SQL Server Integration Services (SSIS).
2–5 years of experience using AWS services to deploy scalable data pipelines and analytics solutions.
2–5 years of experience using Python for analytics, SQL modeling, and AI/ML model development.
2–5 years of experience in data visualization using Power BI and/or other data-visualization software.
Experience developing business requirements and testing plans with business stakeholders, IT, and vendors.
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.
Ability to synthesize analysis into PowerPoint presentations for management, including recommendations and actionable insights.
Results-oriented, data-driven, self-starter.
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, engineering, computer science, information technology, information systems, statistics, or a related field.
Familiarity with data governance, data quality, and responsible AI practices.
AWS and/or Power BI certifications.
Exposure to emerging technologies such as generative AI, LLMs, or retrieval-augmented generation (RAG).
Experience with call center and collections operational metrics.

Responsibilities

Collect, summarize, analyze, and deliver insights and data products using data from multiple sources.
Identify valuable data sources and help optimize data pipelines to ensure data quality, integrity, and security.
Transform data to uncover patterns and trends, and define analytics and AI/ML solutions that support customer-experience initiatives.
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.
Support business adoption of technology solutions.
Develop PowerPoint presentations that synthesize analysis and recommendations for management.