Senior Data Scientist (Newark, NJ, US) - PSEG
Newark, NJ
About the Job
Requisition: 79655
PSEG Company: Public Service Electric & Gas Co.
Salary Range: $ 88,400 - $ 140,000
Incentive: PIP 10%
Work Location Category: Hybrid
PSEG operates under a Flexible Work Model where flexible work is offered when job requirements allow. In support of this model, roles have been categorized into one of four work location categories: onsite roles, hybrid roles that are a blend of onsite and remote work, remote local roles that are primarily home-based but require some level of purpose-driven in-person interaction and living within a commutable distance, and remote non-local roles that can be effectively performed remotely with the ability to work in approved states.
We want you to be healthy, balanced, and feel secure. That’s why you’ll enjoy a comprehensive range of benefits, with a focus on supporting your whole health. Starting on day one of your employment, you’ll be offered several health-related benefits including medical, vision, dental, and well-being and behavioral health programs. We also offer a retirement program, 401(k) with company match, company paid life insurance, tuition reimbursement and a minimum of 18 days of paid time off per year.
PSEG offers a unique experience to our more than 12,000 employees – we provide the resources and opportunities for career development that come with being a Fortune 500 company, as well as the attention, camaraderie and care for one another you might typically associate with a small business. Our focus on combatting climate change through clean energy technology, our new net zero climate vision for 2030 and enhanced commitment to diversity, equity and inclusion; and supporting the communities we serve make this a particularly exciting time to join PSEG.
Job Summary
Work with various stakeholders within Customer Operations to build analytics solutions, identifying trends and patterns to predict the probability of an asset failing, show degradation of asset performance compared to its peers, and define the risks associated with an asset failing. Create “what if” scenarios to recommended asset management replacement plans that would impact reliability by projecting of how assets will age and the impacts on deferring or accelerating maintenance or capital spend.
Work with the team and stakeholders to develop project plans for analytical studies, help secure the resources necessary to achieve plan and work with the team to execute the study. This will include:
- Understanding the data-analytic problem presented.
- Identifying data sets and variables necessary to perform the analysis.
- Securing access to the data and extracting the data in a logical and efficient manner
- Cleaning and validating the data to ensure accuracy, completeness, and uniformity.
- Devising and applying mechanisms to mine the data.
- Using analytical tools to identify patterns and trends.
- Developing the visualization for the associated data.
- Interpreting the data to discover solutions and opportunities.
- Communicating findings and recommendations to stakeholders using visualization and other means.
Job Responsibilities
- Collect, summarize, analyze and visualize various operational, non-operational data in the data lake across Customer Operations organization.
- Identify valuable data sources to ensure data is cleansed and properly structured.
- Analyze data to identify patterns and develop trends to help our SMEs make decisions around customer experience and process improvements.
- Apply statistical analysis and data mining to validate assumptions and test hypotheses.
- Develop databases and/or code to create data models and scenarios (e.g., SQL, SAS, Python, R) and provide visualizations of associated data.
- Ensure data quality, security, privacy, governance, and compliance standards at each stage of analytical journey.
- Build and maintain relationships within our Customer Operations, AMCS, Electric & Gas Operations, and IT stakeholders as well as participate in cross functional teams.
- Effectively communicate results and insights to subject matter experts and team members
- Support business adoption of technology solutions and best practices.
Job Specific Qualifications
- Bachelor’s degree in Data Science, Data Analytics, Engineering, Computer Science, Information Technology, Information Systems, Statistics or related field.
- At least 5 years of knowledge and experience with data mining techniques, data modeling, statistical analysis, and algorithmic development.
- At least 5 years of experience (can apply to school projects/assignments) using query languages such as SQL, applying statistics skills such as analyzing distributions, and/or coding using Python or R.
- Experience with data visualization tools (e.g. Power BI, Tableau, Alteryx…)
- Must be detailed oriented and have experience working with large volume 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.
Desired:
- Advanced degree, e.g., Master’s Degree in Data Science, Data Analytics, Engineering, Computer Science, Information Technology, Statistics etc.
- Familiarity with cloud platform technologies (e.g. AWS, Microsoft Azure or Azure)
- Some knowledge of electric/gas transmission and distribution systems.
Minimum Years of Experience
Disclaimer
Certain positions at the Company may require you to have access to Part 810-Controlled Information. Under the law, the Company is limited in who it can share this information with and in certain circumstances it is necessary to obtain specific authorization before the Company can share this information. Accordingly, if the position does require access to this information, you must complete a 10 CFR Part 810 Export Control Compliance Nationality Request Form, a copy of which will be provided to you by Talent Acquisition if an offer is made. If there is a need for specific authorization, due to the time it takes to obtain authorization from the government, we will likely not be able to further proceed with an offer.
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.
As an employee of PSEG you should be aware that during storm 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. For employees in federally regulated roles (including positions covered by USDOT, PHMSA, or NRC regulations), this also includes random testing. Although numerous states throughout the country have legalized marijuana/cannabis products recreationally and/or medically, it is prohibited for employees in federally regulated roles. Employees who are hired or transfer into a federally regulated role are subject to drug and alcohol testing, inclusive of marijuana. 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 such a positive result.
PSEG employees must apply for jobs internally through emPower which can be accessed through sharepoint.pseg.com by clicking on the emPower icon, then selecting careers. This site is strictly for candidates who are not currently PSEG employees, with the exception of PSEG employees who do not have company email addresses.
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 accommodations@pseg.com.
If you need to request a reasonable accommodation to perform the essential functions of the job, email accommodations@pseg.com. Any information provided regarding a disability will be kept strictly confidential and will not be shared with anyone involved in making a hiring decision.
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