Data Scientist

PSEG•Newark, NJ

5d•$79,400 - $125,600•Hybrid

About The Position

We are seeking a highly skilled and motivated Data Scientist to join our team. The ideal candidate will have a strong background in data analysis, AI/ML development, data visualization, data modeling, and data engineering, with hands-on experience in AWS cloud services, Python programming, and Power BI. You’ll play a key role in transforming raw data into actionable insights that drive strategic decisions across the organization. This includes collaborating with cross-functional teams within Customer Analytics and IT to build analytics solutions, including AI/ML models, for Customer Solutions, identifying trends and patterns to determine friction points in a customer’s journey, analyzing patterns in customer behavior, and determining solutions to improve customer experience.

Requirements

Bachelor’s degree in data science, Engineering, Computer Science, Information Technology, Information Systems, Statistics, or related field.
2-5 years' knowledge and experience with data mining techniques, data modeling, statistical analysis, and algorithms.
2-5 years' experience using query languages (SQL) and developing and maintaining ETL workflows using SQL Server Integration Services (SSIS).
2-5 years' experience leveraging AWS services to deploy scalable data pipelines and analytics solutions.
2-5 years' experience in Python for analytics, SQL modeling, and AI/ML model development.
2-5 years’ experience in data visualization using Power BI, and/or other data visualization software.
Detailed oriented and have experience working with large data sets.
Excellent verbal and written communication skills; able to communicate highly technical concepts in a clear, succinct, and relevant way to non-technical stakeholders.
Results-oriented, data-driven, and self-starter.
Compliance with the Department of Energy's regulation 10 CFR 810 is required.

Nice To Haves

Advanced degree, e.g., Master’s Degree in Data Science, Data Analytics, Engineering, Computer Science, Information Technology, Information Systems, Statistics, etc.
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).

Responsibilities

Collect, summarize, analyze, and deliver insights and data products utilizing data across multiple data sources.
Identify valuable data sources and assist in optimization of data pipelines to ensure data quality, integrity, and security.
Transform data to uncover patterns, develop trends, and define analytics solutions, including AI/ML solutions, that support decisions related to initiatives regarding improving customer experience.
Deliver insights that contribute to improvements by analyzing operational and non-operational data.
Apply statistical analysis and data mining techniques to validate assumptions and build scenarios.
Interpreting the data to discover solutions, identify opportunities and support decision making.
Effectively communicate results and insights to subject matter experts and cross-functional teams.
Support business adoption of technology solutions.