Power BI

Cannabis Operations Statistics Scalability Data Mining Data Quality Data Science Communication Data Analysis 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 Statistical Analysis Emerging Technologies Information Technology Artificial Intelligence Permanent Resident Cards Strategic Decision Making SQL (Programming Language) Extract Transform Load (ETL) Python (Programming Language) Retrieval Augmented Generation Generative Artificial Intelligence SQL Server Integration Services (SSIS), 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., * 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., As an employee of PSEG, you should be aware that during emergency restoration efforts, you may be required to perform functions outside of your routine duties and on a schedule that may be different from normal operations. For all roles, PSEG's drug and alcohol testing program includes pre-employment testing, testing for cause, and post-incident/accident testing. Employees who are hired or transfer into a federally regulated role (including positions covered by USDOT, PHMSA, or NRC regulations) are subject to random drug and alcohol testing, inclusive of marijuana. Although numerous states throughout the country have legalized marijuana/cannabis products recreationally and medically, the use of these products are prohibited for employees in federally regulated roles. Please note that the use of CBD products may result in a positive drug test for THC/Marijuana and such use is not a legitimate medical explanation for a positive result.

If you are a current PSEG Long Island (PSEGLI) employee and offered an opportunity with PSEG or any of its subsidiaries other than PSEGLI, you will be treated as a new hire. Please note that as a new hire to PSEG, your benefits will change and generally will be consistent with other similarly situated PSEG new hires. Similarly, for PSEG employees who accept job opportunities with PSEGLI, your benefits will change and generally be consistent with other similarly situated new hires of PSEGLI., Power BI Refining Cannabis AWS Glue Operations Automation Mentorship Governance Scalability Data Mining Data Quality Data Science Data Analysis Data Modeling Data Wrangling Data Pipelines Responsible AI Data Governance Data Extraction Query Languages Report Creation Data Enrichment Computer Science Machine Learning Behavioral Health Advanced Analytics Data Visualization Workflow Management Amazon Web Services Feature Engineering Lifecycle Management Emerging Technologies Artificial Intelligence Microsoft Power Automate Permanent Resident Cards SQL (Programming Language) Robotic Process Automation Code Of Federal Regulations Extract Transform Load (ETL) Python (Programming Language) Retrieval Augmented Generation Business Intelligence Reporting Data Analysis Expressions (DAX) Generative Artificial Intelligence Automation Anywhere (RPA Software) MLOps (Machine Learning Operations) SQL Server Integration Services (SSIS) Tableau (Business Intelligence Software) +0

• 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.

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).

Some positions at PSEG require access to information covered by the Department of Energy's regulation 10 CFR 810 (Part 810). If applicable, the successful applicant must prove they are: (1) a citizen or national of the USA; OR (2) a lawful permanent resident of the United States (Non-Conditional Permanent I-551 / Green Card / Permanent Resident Card holder); OR (3) a citizen, national, or permanent resident of a "Generally Authorized" destination on the attached list not also a citizen, national, permanent resident of any country not listed; OR (4) a "Protected Individual" under the Immigration and Naturalization Act (8 U.S.C 1324b(a)(3))., MLflow Jenkins Equities Kubeflow Dashboard Templates Pipelines Automation Innovation Statistics Forecasting Unit Testing Data Science Communication AWS SageMaker Technical Debt Apache Airflow Pharmaceuticals Test Automation Problem Solving Computer Science Machine Learning Systems Thinking Model Validation Data Engineering Azure Data Factory Regression Testing Scalability Design Technical Projects Workflow Management Workflow Automation Feature Engineering Software Engineering Resource Utilization Artificial Intelligence Software Quality (SQA/SQC) MLOps (Machine Learning Operations) +0

Google Business Intelligence

Google IT Automation with Python

Here, you'll have the stability and exciting opportunities that come with being a Fortune 500 company - along with a supportive, friendly work environment where your contributions are valued.

We know life isn't one-size-fits-all, and neither is work. That's why we offer flexible work options depending on the role. In support of this model, roles have been categorized into one of three work location categories:

1. Onsite - roles where employees are expected to be onsite daily.
2. Hybrid fixed - roles that are a mix of remote work and onsite work fixed days each week
3. Hybrid flexible - roles that are a mix of remote work and onsite work, but the onsite requirements have greater flexibility. (i.e. 5-8 days a month vs. set days each week).

As an employee, if you are regularly scheduled to work 20 or more hours per week, you will have access to a wide range of comprehensive benefits from day one, designed to support your total well-being: medical, dental, vision, parental leave and family leave programs, behavioral health programs, 401(k) with company match, life insurance, tuition reimbursement, and generous paid time off.

We're one of the country's largest energy companies, with a vision of powering a future where people use energy more efficiently and it's safer and delivered more reliably than ever. We're also deeply connected to the communities we serve, with more than 13,000 employees working together to support our customers and make a difference every day., More than 13,000 people already call PSEG their work home, taking pride in providing safe, reliable service to millions of customers. If you're looking for a place where you can build a meaningful career and help power and support our communities, we'd love to welcome you to the team.