Data Scientist 1, 2 or Senior

Requisition ID: 17828

 

Join us in building a better future for Arizona!

SRP is one of the largest public power and water utilities in the U.S. providing electricity to approximately one million customers in the greater metropolitan Phoenix area. Since its founding in 1903, SRP has fostered a culture of stewardship and customer service consistently ranking as an industry leader in customer service according to J.D. Power and named one of Arizona's best employers by Forbes. SRP continues to adapt to its changing business environment by seeking innovative ways to reimagine utility service and the provision of critical resources essential to the life and economy of Arizona.

 

Why Work at SRP

At SRP, we foster an inclusive work environment and believe everyone should have a fair chance to work, regardless of who they are. That’s why we value teams with diverse perspectives, experiences, and backgrounds to help SRP deliver on its mission of providing reliable, affordable and sustainable water and power.

 

SRP's success is rooted in our employees' happiness, health, and safety. That's why we offer a comprehensive benefits package to meet the needs of our employees and enhance their well-being. In addition to competitive pay and performance incentives, eligible employees can take advantage of the following benefits:

 

• Pension Plan (at no cost to the employee)
• 401(k) plan with employer matching
• Available your first day: Medical, vision, dental, and life insurance
• Over 200+ hours of PTO (includes vacation days, holidays, floating holidays, and sick leave)
• Parental leave (up to 4 weeks) and adoption assistance
• Wellness programs (including access to a recreation and fitness facility)
• Short and long-term disability plans
• Tuition assistance for both undergraduate and graduate programs
• 10 Employee Resource Groups for career development, community service, and networking

 

Summary

The System Integration Data Scientist will support developing analytical tools and assumptions for system-wide planning (load forecasting, customer programs, transmission planning, distribution planning, resource planning), and develop expertise in the performance of generation resources, including renewable resources. This role will be instrumental in developing integrated models, managing data environments, leveraging advanced analytics, and align data to support SRP’s advancement to integrated system planning. This role will collaborate with various departments to ensure the accuracy and efficiency of the integrated planning processes and contribute to the achievement of strategic goals. Extracts knowledge and insights from high volume, high dimensional data in order to investigate complex business problems through a range of data preparation, modeling, analysis and/or visualization techniques, which may include the use of advanced statistical analysis, algorithms, predictive modeling, experimentation and pattern recognition to create solutions that enable enhanced business performance.

What You'll Do

•    Collect and analyze data associated with resource performance including renewable generation performance, carbon/water intensity, battery metrics, system variability analysis. Develop tools to share that information across SRP.  
•    Consulting with business units to identify and gather requirements for potential data science, data engineering or data visualization projects specifically as it pertains to integrating various planning software/tools across planning organizations.
•    Assist in evaluating various planning software and application development packages within the Transmission, Distribution, and Resource Planning organizations, providing recommendations based on departmental current & future needs. 
•    Develop a data management warehouse to enhance information transfer efficiency among collaborative planning departments. This includes designing data collection, cleaning, and processing of databases.
•    Create dashboards and data visualizations to clearly communicate findings and insights from large datasets to non-technical stakeholders.
•    Coordinating technical interactions between information technology groups on data environment and project matters. 
•    Analyze data sources, gather, and transform data into formats that are useful for analytics. 
•    Present results