Principal Data Scientist

Requisition ID: 18771

 

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 be ITS’ advanced analytics liaison with business groups, and will have an understanding of machine learning, regression, dimensionality reduction, and classification to provide guidance on best practices and architecture needed to create repeatable, trusted data science. Utilizing their analytical, statistical and programming skills, they will collect, analyze and interpret large data sets in order to develop and recommend data-driven solutions to business challenges for business partners. Projects may include propensity modeling, advanced forecasting, market sizing for new products, product and process optimization, text analytics, digital analytics, development and delivery of data science related training material, and applications of AI to data science. Translating highly technical concepts for non-technical audiences and mentoring team members is a significant job responsibility. The successful candidate will have a passion for discovering solutions hidden in large data sets and working with business partners to improve business outcomes.

What You'll Do

• Act as project leader on enterprise analytics projects of major scope and importance.
• Define problems, supervise data collection, apply advanced statistical and mathematical concepts, establish facts and draw valid conclusions. Work often requires the analysis of large data sets using complex python, R, and sql in the Dataiku framework.
• Recommend solutions to new and complex problems, develop innovative strategies, quantify the performance of the business functions and evaluate the potential impact of changes.
• Gather model requirements, design experiments and analyses, build and deploy predictive models.
• 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.
• Mastery of a statistical software (Python or R). Data visualization experience is strongly preferred.
• Experience with Snowflake, SQL Server databases and T-SQL queries.
• Working knowledge of the following concepts:
  • Data transformations (e.g. log transformation, standardization, normalization)
  • Univariate and Multivariate tests (e.g. t-test, ANOVA, MANOVA, ANCOVA)
  • Statistical modeling (e.g. linear regression, logistic regression, multivariate regression, ARIMA models, classical time series decomposition, mixed models)
  • Clustering (e.g. k-means, hierarchical clustering)
  • Dimensionality reduction (e.g. Principle Components Analysis, Discriminant Analysis, Factor Analysis)
  • Classification (e.g. logistic regression, K-NN, naïve Bayes, decision trees, neural networks)
  • 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 statistical concepts to all levels of employees. Data visualization skills are required.

What It Takes To Succeed

• Master's degree preferred
• Ability to perform multiple, non-routine assignments concurrently under stress and restricted time frames.
• Ability to provide accurate, timely and concrete analysis and recommendations to executive management.
• Ability to plan and to carry out research projects.
• Ability to present in front of large groups in a composed, clear, and concise, manner, including group training.
• Excellent oral and written communication skills
• Ability to be a recognized advisor in areas of specialty.
• Ability to get along with all levels of employees within SRP.
• Ability to represent SRP in industry organizations in areas of expertise.

Preferred:

• Dataiku core designer, ML Practitioner, and Advanced certifications
• Python/R certification

Experience

A minimum of 10 years of related experience is required (if no degree, 14 years of relevant experience or an equivalent combination of education and related experience totaling 14 years). 

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.

 

Hybrid Workplace

SRP currently offers a hybrid workplace, which allows employees whose jobs can be performed remotely, and who have sufficient technical capability, to telework up to three days per week. Although teleworking is available, all employees must live and work in Arizona.

 

Drug/Alcohol Policy Statement

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.

 

Equal Opportunity Employer Statement

Salt River Project (SRP) is 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.

 

Work Authorization

All candidates must be legally authorized to work in the United States.
Currently, SRP does not sponsor H1B visas, OPT, or other employment-related visa's.