/77181/77576- Lead Data Scientist-Load Research, Sr Data Sientist

Date: Feb 5, 2024

Location: Hicksville, NY, US

Company: PSEG

Requisition: 77182

PSEG Company: PSEG Long Island    

Salary Range: $ 101,600 – $ 160,900 

Incentive: PIP 15%   

Work Location Category: Remote Local  

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.

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

The Load Research and Retail Settlement team utilizes statistical analysis, data modeling, and machine learning algorithms to study customer load patterns in order to support various critical business functions including, Load Forecasting, Production Cost Modeling, Transmission and Distribution Planning, Cost of Service Studies and Rate Design, and Energy Efficiency.  

Additionally, the team manages the calculation and submission of energy and capacity data to the New York Independent System Operator (NYISO) each month to enable settlement of the energy and capacity markets.

The Data Scientist role will support Load Research initiatives by utilizing data science methods and AWS tools to derive insights into customer usage from AMI meter, customer, and geospatial data sources. 

Job Responsibilities

• Design load research and special studies by applying statistical sampling techniques and theory
• Design, develop, and implement analytical models and visualizations to provide insight into customer usage patterns            
• Produce class average load profiles from AMI meter data using accepted industry techniques to support Rate Design, Cost of Service Studies, Energy Efficiency, Load Forecasting, and Retail Settlement            
• Support monthly energy and capacity market settlement in NY State by calculating and submitting energy and capacity data for all Load Serving Entitles on Long Island (NYISO Zone K)
• Utilize statistical models and machine learning algorithms to disaggregate end-use load from whole premise load data collected by AMI meters
• Perform regression modeling to produce weather normalized load shapes
• Build data pipelines to validate, clean, and transform large data sets to support Load Research analytics use cases
• Effectively communicate results of analytical models to technical and non-technical stakeholders
• Consult to other business groups on data science techniques

Job Specific Qualifications

Required

• Bachelor’s degree in mathematics, statistics, data science/analytics, engineering, computer science or a related quantitative field with at least 7 years Load Research or similar quantitative analysis experience
• Ability to work independently with minimal guidance
• Advanced statistical analysis and data modeling skills including experience with sampling methods, regression, clustering, and time series analysis
• Ability to efficiently clean and validate large data sets for analysis
• Proficient in a data science programming language (SAS, Python, SQL or similar)
• Extensive experience using visualization tools (Tableau, Power BI, or similar) 
• Expert knowledge of electric usage patterns at various levels, including system, customer class, and end use 
• Experience or certification in Machine Learning
• Excellent written and verbal communication skills including the ability to speak to higher levels of internal leaders, external regulators, and other market players.  Ability to easily explain complex technical concepts to non-technical stakeholders
• Knowledge of energy and capacity markets, preferably NYISO
• Experienced with weather normalization of electric load
• Strong knowledge of Load Research best practices, Demand Side Management, and Energy Efficiency programs
• Advanced Excel skills 
• Strong attention to detail and the ability to handle time sensitive deliverables requiring a high degree of accuracy
• Knowledge of AWS tools (Sagemaker, Glue, etc.) 
• Must demonstrate leadership in their role and ability to stand-in for department management when required

Desired

• Masters degree in mathematics, statistics, data science/analytics, engineering, computer science or a related quantitative field.
• Familiarity with electric load forecasting, cost of service studies, and rate design preferred. 
• Experience providing testimony in rate case proceedings a plus

Minimum Years of Experience

7 years of experience

Education

Bachelors

Certifications

None Noted

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 (PSEG Careers and Job Openings) 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 [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.

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