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.

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.

EXPERIENCE

A minimum of 10 years of related experience is required.

EDUCATION

A bachelor’s degree in a related field from an accredited institution is required and a master’s degree in the area of specialty is preferred.

• 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 modeling (e.g. linear regression, logistic regression, multivariate regression, longitudinal and/or spatial lag models, mixed models)
• Machine learning (e.g., random forests, support vector or gradient boosting machines, unsupervised classification, k-means clustering, neural networks)
• Multivariate dimensionality reduction (e.g. Principle Components Analysis, Discriminant Analysis, Factor Analysis)
• Conjoint Analysis and Discrete Choice Analysis
• Ability to interpret results and explain impacts to the business for consumption by leadership.
• Excellent written and verbal communication skills are required to convey advanced quantitative and technological concepts to all levels of employees. Excellent data visualization skills are preferred.