Water and Forest Data Scientist Principal

Requisition ID: 18615

 

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 Principal Data Scientist will work closely with Water Strategic Services and external business partners to lead analyses and models that help drive water and forest business decisions. Utilizing their analytical, statistical and programming skills, they will collect, analyze and interpret large data sets to develop and recommend data-driven solutions to water and forest challenges. Projects may include hydrology modeling, carbon modeling, biodiversity modeling, wildfire risk analysis, remote sensing product optimization, text analytics, and digital analytics. Translating highly technical concepts for non-technical audiences and team members is a significant responsibility. The successful candidate will be passionate about discovering solutions hidden in large data sets and working with external business partners to improve water and forest outcomes.

What You'll Do

•    Act as project leader on water and forest analytics projects of major scope and importance.
•    Define problems, manage data collection, apply advanced statistical and mathematical solutions, establish facts and draw valid, data-supported conclusions. Work often requires the analysis of large data sets using complex R, SAS, SPSS or python modeling approaches.
•    Recommend solutions to new and complex water and forest problems, develop innovative strategies, quantify the performance of the marketing function and evaluate the potential impact of changes.
•    Strong problem-solving skills with a drive to learn and master new technologies and techniques.
•    Gather model requirements, design observational experiments and analyses, build and deploy predictive and monitoring models.
•    Proven ability to drive water and forest business results with their data-driven insights.
•    Comfortable working with a wide range of diverse stakeholders and functional teams.
•    Strong experience using a variety of data cleaning, mining, and analytic methods.
•    Mastery of statistical software (R, SAS or SPSS) and its application. Data visualization experience is strongly preferred. Experience with Python, Hadoop, Spark, and/or Hive is desired.
•    Experience with SQL Server databases and T-SQL queries.
•    Working knowledge of the following concepts:
•    Data transformations and traditional univariate and multivariate statistics (e.g. t-test, ANOVA, MANOVA, ANCOVA)
•    Statistical mode