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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist - **Company:** Public Service Enterprise Group Incorporated - **Location:** Newark, NJ, United States - **Experience:** Experienced - **Salary:** $79,400.0 - $125,600.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Business Analytics Applications, Data Analysis, Big Data, Information Systems, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Mining, Data Visualization, Query Languages, Python (Programming Language), Machine Learning, Operational Data Store, Microsoft PowerPoint, Power BI, Cloud Services, SQL Databases, SQL Server Integration Services, Retrieval-Augmented Generation, Large Language Models, Generative AI, Information Technology, Data Analytics, Data Pipelines - **Published:** November 3, 2026 - **Apply:** https://www.careercircle.com/jobs/all/all/usa/nj/newark/17583c2e-6668-40f5-9801-c4afdc2c2b11 ## About the Role * 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. * Experience with developing business requirements and testing plans with business stakeholders, IT and vendors. * 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. * Proven ability to synthesis analysis (with recommendations and actionable insights) in PowerPoint presentations for management. * Results-oriented, data-driven, and self-starter. * Compliance with the Department of Energy's regulation 10 CFR 810 is required. Desired * 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). * Experience with call center and collections operational metrics. ## Description Cannabis Operations Statistics Collections Scalability Data Mining Data Quality Data Science Communication Data Analysis Presentations Data Modeling Cloud Services Data Pipelines Responsible AI Data Governance Query Languages Computer Science Machine Learning Data Engineering Behavioral Health Consumer Behaviour Data Visualization Customer Analytics Workflow Management Amazon Web Services Information Systems Microsoft PowerPoint Statistical Analysis Business Requirements Emerging Technologies Information Technology Call Center Experience Operational Excellence Artificial Intelligence Permanent Resident Cards Strategic Decision Making SQL (Programming Language) Extract Transform Load (ETL) Python (Programming Language) Retrieval Augmented Generation Customer Experience Improvement Generative Artificial Intelligence SQL Server Integration Services (SSIS), We offer a flexible work environment designed to balance employee needs with collaboration and operational excellence. Roles fall into two categories: * Onsite: Employees work onsite daily. * Hybrid: A blend of remote and onsite work, with at least three onsite days per week required., 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. Can develop PowerPoint presentations to summarize analysis for management., * 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.