Data Scientist

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Date: Jul 20, 2021

Location: Phoenix, AZ, US

Company: SRP

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. 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.

Job Brief

The data scientist will work closely with the Community, Communications and Marketing department and their business partners to conduct analyses and develop models to enable data-driven decisions for operational and strategic business challenges.  Projects may include digital analytics; measuring marketing attribution; time series analysis of Customer Experience tracking surveys, customer interaction surveys and ad hoc surveys; data mining; propensity modeling; custom segmentation development; market forecasting for annual strategy development; market sizing for new products; product optimization and text analytics. They will use their analytical, statistical, and programming skills to analyze and interpret large data sets. A strong understanding of statistical modeling, data analysis and experimental design is required. The successful candidate will have a passion for discovering solutions hidden in diverse data sets and working with business partners to improve business outcomes.

Job Responsibilities

  • Responsible for end-to-end insight creation.
  • Develop analytical solutions and recommendations to produce meaningful results.
  • Query, manipulate and manage large or diverse data sets in an organized manner with effective quality control and supporting documentation.
  • Gather model requirements, design experiments and analyses, build and deploy predictive models.
  • Interpret results and explain impacts to the business for consumption by leadership.
  • Strong written and verbal communication skills are required to convey advanced statistical concepts to all levels of employees. Data visualization skills are required.

Education

Completion of a Bachelor's Degree from an accredited institution that prepares the employee for the assignment.

Experience

Experience in marketing, economics, statistics, engineering, operations research or data analytics.

Promotion to Level 2 requires a minimum of two years’ experience at Level 1; demonstrated capability to perform advanced and more difficult work as determined by the supervisor.  Promotion to Senior Level requires a minimum of three years’ experience at Level 2; is fully competent in all aspects of functional area of assignment and as such would be recognized as a specialist in area of assignment and may have periodic or occasional lead responsibilities.

Additional Information

Graduate degree preferred.

•    Strong problem-solving skills with a drive to learn and master new technologies and techniques. 
•    Proven ability to drive business results with their data-based insights.
•    Comfortable working with a wide range of stakeholders and functional teams.
•    Strong experience using a variety of data mining/data analysis methods.
•    Experience using statistical software (SAS or SPSS). 
•    Visualization experience with Excel, Tableau or Power BI is desired. 
•    Experience with Python, Hadoop, Hive is desired.
•    Experience with SQL Server databases, T-SQL queries and ETL.

Working knowledge of the following concepts:

o    Correlations, t-tests, F-tests, random sampling methods
o    Data transformations (e.g. log transformation, standardization, normalization)
o    Univariate and Multivariate tests (e.g. t-test, non-parametric rank tests, ANOVA, MANOVA, ANCOVA, regression)
o    Statistical modeling (e.g. linear regression, generalized linear models, multivariate regression, ARIMA models, classical time series decomposition, mixed models)
o    Clustering (e.g. k-means, hierarchical clustering, Gaussian mixtures)
o    Dimensionality reduction (e.g. Principle Components Analysis, Factor analysis, Discrete Fourier transform)
o    Classification (e.g. logistic regression, K-NN, naïve Bayes, decision trees, Support Vector Machine, neural networks)
o    Choice Modeling to estimate customers’ willingness-to-pay
o    Simulation techniques (e.g. Discrete Event, Monte Carlo methods)
o    Constrained optimization (e.g. Linear Programming with Excel Solver)

 

Requisition Details

Requisition ID: 13084

 

 

Equal Opportunity Employer Statement

 

Salt River Project (SRP) recognizes diversity and inclusion as key drivers of innovation and growth, and seeks to attract a diverse employee base that reflects our community. We are committed to equal employment opportunity regardless of race, color, religion, sex (including pregnancy), gender identity, sexual orientation, national origin, age, disability, genetic information, military status or any other protected status under applicable federal, state or local law. Ultimately, SRP aspires to fully apply the power of diversity and inclusion to build a more equitable and sustainable future for our customers, employees and community.

 

Drug/Alcohol Policy Statement

 

In order to promote the safety and well-being of our employees, customers and the communities we serve, SRP is committed to maintaining a drug/alcohol free work environment. Although marijuana may now be legal in Arizona, except as otherwise specified under Arizona law, SRP considers it to be an illegal drug for the purpose of our drug/alcohol policy because marijuana remains illegal at the federal level. Any candidate found to be impaired during the hiring process or who has the presence of an illegal drug or unauthorized substance in their system during the pre-employment drug/alcohol test may be disqualified from further consideration in the hiring process.

 

All candidates must be legally authorized to work in the United States.
Currently, SRP does not sponsor H1B visas.

 

 

Why Work at SRP

 

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:

 

• 401(k) plan with employer matching
• Retirement pension
• Paid vacation
• Parental leave
• Holiday pay
• Sick leave
• Medical, vision, dental and life insurance
• Wellness programs
• Pre-tax benefits
• Short and long-term disability plans
• Tuition assistance

 


Nearest Major Market: Phoenix

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