
Senior Data Scientist
Newark, NJ · HybridJob$94–148K/yrSeen todaySeen in employer's feed today
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Requirements
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Job overview
PSEG seeks a senior data scientist to turn data into insights and analytics solutions that support strategic decisions and improve customer experience. The role works with Customer Analytics, IT, business stakeholders, and vendors to develop data models, dashboards, and AI/ML solutions, analyze customer behavior, and identify trends and friction points. It also communicates findings and recommendations to technical teams and senior management.
Skills & qualifications
Skills
Qualifications
Benefits
Full job description
Requisition: 84461
PSEG Company: Public Service Electric & Gas Co
Salary Range: $ 93,600 - $ 148,200
Work Location Category: Hybrid
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.
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 offer a flexible work environment designed to balance employee needs with collaboration and operational excellence. Roles fall into two categories:
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Onsite: Employees work onsite daily.
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Hybrid: A blend of remote and onsite work, with at least three onsite days per week required.
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.
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.
PSEG is not offering visa sponsorship for this position.
Job Summary
We are seeking a highly skilled and motivated Sr Data Scientist to join our team. The ideal candidate will have a strong background in data visualization, data modeling, and data engineering, AI/ML development, data analysis, with hands-on experience in AWS cloud services, Power BI, and Python programming. 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 visualized analytics solutions, including incorporation of 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 senior management.
Job Responsibilities
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Collect, summarize, analyze, and deliver insights and data products utilizing data across multiple data sources to develop data models for PowerBi dashboards.
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Design, develop and maintain interactive Power BI dashboards to provide actionable insights to stakeholders. Identify valuable data sources and assist in optimization of data pipelines to ensure data quality, integrity, and security.
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Facilitate business requirements sessions between business stakeholders, IT and vendor.
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Facilitate and execute testing between business stakeholders, IT and vendor.
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Transform data to define analytics solutions, including incorporating AI/ML solutions, that support decisions related to initiatives regarding improving customer experience.
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Deliver insights that contribute to improvements by analyzing operational and non-operational data.
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Apply statistical analysis and data mining techniques to validate assumptions and build scenarios.
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Interpret the data to discover solutions, identify opportunities, and support decision making.
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Effectively communicate results and insights to subject matter experts and cross-functional teams.
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Demonstrated expertise in designing and developing interactive Power BI dashboards and data visualizations that translate complex data and analytical outputs into actionable business insights.
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Proven ability to synthesis analysis (with recommendations and actionable insights) in PowerPoint presentations for management.
Job Specific Qualifications
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Bachelor’s degree in data science, Engineering, Computer Science, Information Technology, Information Systems, Mathematics, or related field.
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5 years' knowledge and experience with data mining techniques, data modeling, statistical analysis, and algorithms.
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5 years' experience (can apply to school projects/assignments) using query languages (SQL) and developing and maintaining ETL workflows using SQL Server Integration Services (SSIS).
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5 years' experience (can apply to school projects/assignments) leveraging AWS services to deploy scalable data pipelines and analytics solutions.
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5 years' experience (can apply to school projects/assignments) in Python coding.
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Detailed oriented and have experience working with large data sets.
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Excellent verbal and written communication skills; able to communicate highly technical concepts in a clear, succinct, and relevant way to non-technical stakeholders.
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Results oriented, data driven, and self-starter.
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Compliance with the Department of Energy’s regulation 10 CFR 810 is required.
Desired
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Advanced degree, e.g., Master’s Degree in Data Science, Data Analytics, Computer Science, Information Technology, etc.
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Knowledge of OSI PI products (OSI PI Architecture, PI AF hierarchy and analytics)
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 (https://corporate.pseg.com/-/media/PSEG/Corporate/Careers/Careers At PSEG/AppendixAtoPart810_ Title10) 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)).
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.
PSEG is an equal opportunity employer, dedicated to a policy of non-discrimination in employment, including the hiring process, based on any legally protected characteristic. Legally protected characteristics include race, color, religion, national origin, sex, age, marital status, sexual orientation, disability or veteran status or any other characteristic protected by federal, state, or local law in locations where PSEG employs individuals.
PSEG is committed to providing reasonable accommodations to individuals with disabilities. If you have a disability and need assistance applying for a position, please call 973-430-3845 or email [email protected].
If you need to request a reasonable accommodation to perform the essential functions of the job, email [email protected]. Any information provided regarding a disability will be kept strictly confidential and will not be shared with anyone involved in making a hiring decision.
ADDITIONAL EEO INFORMATION (Click link below)
Know your Rights: Workplace Discrimination is Illegal
How this job compares
Set against the 4,831 open Data Scientist jobs on Olive Jobs, counted November 4, 2026.
- Pay
- This posting$94–148K/yr
- New Jersey median$124–215K/yr75 salary ranges
- US median$135–213K/yr3,714 salary ranges
This range's midpoint, $121K, is 29% below the New Jersey median midpoint ($170K) — in the lowest quarter of Data Scientist salary ranges in New Jersey.
- Openings
- Olive Jobs lists 86 open Data Scientist jobs in New Jersey and 4,831 across the US. 6% of them nationwide are listed as remote or flexible.
- Hiring the most in New Jersey
- JPMorgan Chase11 open
- PwC7 open
- Amazon5 open
- Experience
- This posting asks for at least 5 years of experience; Data Scientist postings that state a minimum ask for 5 years at the median (4,139 postings).
- Education
- This posting asks for a bachelor's degree; 2,277 of the 4,831 open Data Scientist jobs (47%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on November 4, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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