29 days old

Data Scientist

Arizona Public Service (APS)
Phoenix, Arizona
  • Job Code
  • Job Type
  • Job Status
    Full Time
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You have high expectations for yourself and your career.

So does APS.

Imagine what we will achieve together.

You could have a powerful future with APS!


Arizona Public Service (APS) is Arizona’s largest and longest serving electric utility, providing power for nearly 1.2 million customers in 11 of the state’s 15 counties. Since our founding in 1886, APS has demonstrated a strong commitment to our customers in one of the country’s fastest growing states, earning a reputation for customer satisfaction, shareholder value, operational excellence and business integrity. Our success derives from the creative and dedicated people of our company who demonstrate our core values of accountability, safety, integrity, and trust and respect. At APS, we focus every day on our vision: “Creating a sustainable energy future for Arizona.” We will continue to meet the energy needs of our customers with a solid combination of price and service.


Data Scientist

Job # 20190728 • Phoenix, AZ


As the electric utility industry continues to transform, there is increased focus on digitalization and utilization of data to gain insights, improve key metrics and make better business decisions. Arizona Public Service Company (APS) is one of the utilities that is on the leading edge of digital transformation. As we continue on this journey, the APS Digital Transformation Department has an exciting opportunity for a Data Scientist to join our team in a dynamic and exciting work environment. Digital Transformation department partners with various APS business areas like Generation, Transmission and Distribution, Customer Service, Finance and Accounting and HR to solve complex business problems using data science and advanced analytics.


The Data Scientist is responsible for providing new insights from predictive statistical modeling activities, advanced data analyses, and specialized analytical support for business operations. The Data Scientist will work directly with large amounts of structured and unstructured data from different sources to create meaningful analyses, discover insights and identify opportunities for various business units within the organization. He or she should recommend creative and leading approaches Trend analyses, What-if analyses, Prescriptive and Predictive Data Modeling and provide thought provoking ideas, methods and algorithms to support business decision making. By applying advanced analytics, this role will build mathematical models like Machine Learning, AI, Regression Analysis, supervised and unsupervised modeling techniques to validate findings using experimental and iterative approach.


Works closely with, subject matter experts, project and program managers, architects, data engineers, partners and vendors to turn data into critical information and insights to make sound business decisions. He or she will be able to work effectively independently as well as in a team environment with focus on collaboration and customer satisfaction. The Data Scientist should have creative thinking, strong analytical skills, innovative and curious mindset and excellent organizational and communication skills.


Major Accountabilities

  • Collaboration with customers and partners:
    • Consult with stakeholders and subject matter experts to understand business needs and operations, goals and objectives and key drivers for performance.
    • Work closely with the business units to complete data analytics efforts. Build and maintain strong working relationships with customers, partners and vendors.
  • Data requirements and preparation:
    • Identify available and relevant data and the data sources.
    • Collaborate with SMEs, data stewards and architects for data collection, preparation, integration, quality, exploration and retention.
    • Gather data, formulate cluster or nodes and establish performance checks on the large data models.
    • Design and implementation of solutions including data acquisition, storage, transformation, and analysis
  • Modeling and Deployment:
    • Design, develop and deploy innovative models. Provide insights from predictive statistical modeling activities. Test theories by creating models and experimenting with data.
    • Design models, algorithms and visualizations that help distill insights from huge volumes of chaotic data.
    • Modeling complex problems, discovering insights and identifying opportunities using statistical, algorithmic, mining and visualization techniques using existing or new front-end reporting & analytics tools.
    • Play key role in turning data into critical information and knowledge that can be used to make sound organizational decisions.
    • Propose innovative ways to look at problems by using data mining approaches and validate findings using experimental and iterative approaches.
    • Understand data transforming platforms and technologies and maintain a knowledge of discipline maturity.
  • Present results, provide recommendations and lead analytics efforts:
    • Present findings to the business in a way that can be easily understood by business counterparts.
    • Make recommendations based on business requirements and knowledge of industry best practices.
    • Make technical decisions on advanced analytics initiatives.
  • Programming and Coding:
    • Utilize programming language, such as R, Python, SQL, .net, Java or C++ to evoke the data from data source and model
    • Familiarity with Cloud structure and building, utilizing cloud technologies
    • Performing data acquisition using JSon, SQL, ODBC, JScript, or API for Big Data extracts
    • Transform and utilize streaming data with programming languages such as: KAFKA, SQL, Spark, and/or Azure
  • Mentoring and coaching junior staff as necessary



Export Compliance/EEO

This position may require access to and/or use of information subject to control under the Department of Energy's Part 810 Regulations (10 CFR Part 810), the Export Administration Regulations (EAR) (15 CFR Parts 730 through 774), or the International Traffic in Arms Regulations (ITAR) (22 CFR Chapter I, Subchapter M Part 120) (collectively, "U.S. Export Control Laws"). Therefore, some positions may require applicants to be a U.S. person, which is defined as a U.S. Citizen, a U.S. Lawful Permanent Resident (i.e. 'Green Card Holder'), a Political Asylee, or a Refugee under the U.S. Export Control Laws. All applicants will be required to confirm their U.S. person or non-US person status. All information collected in this regard will only be used to ensure compliance with U.S. Export Control Laws and will be used in full compliance with all applicable laws prohibiting discrimination on the basis of national origin and other factors. For positions at Palo Verde Nuclear Generating Stations (PVNGS) all openings will require applicants to be a U.S. person.


To Apply:

Candidates interested in this opportunity, please go to: www.aps.com/careers - search job # 20190728


Alternate Application Options:

These options are reserved for use by individuals with disabilities. Information received via these options will be routed to specialists who will provide appropriate assistance to these individuals to ensure that their data is entered into the APS online application. These specialists will not have access to existing profiles in the APS online application process and will not be able to provide any application status updates.


If you have a condition that hinders your ability to apply online, please choose one of the alternate options to submit your expression of interest in a position with APS: Call us at 602-250-2101


Mail Your Resume and Letter of Interest to:


Attn: Talent Acquisition

400 North 5th Street

M.S. 8412

Phoenix, AZ 85004


AA/EO Employer by Choice:

Pinnacle West Capital Corporation and its subsidiaries and affiliates (“Pinnacle West”) provides equal employment opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability.


Visit our website today for more information!




  • Bachelor’s of Science degree in Data Science, Computer Science, Information Sciences, Mathematics, Engineering or related fields
  • Minimum 8 years related business experience in analytics, data science, predictive modeling, machine learning, statistical modeling and/or user experience role OR advanced degree in Data Science, Business Analytics or directly related discipline and 6 years related business experience. Possesses a combination of strong analytical and problem-solving skills and programming knowledge.
  • Strong understanding of data analytics methods and tools like R Programming, Python and SQL. Expertise in extracting and transforming large datasets
  • Proficient at integrating and preparing large varied datasets, architecting specialized database and computing environments/platforms, and communicating results.
  • Excellent written and communications skills.


Preferred Qualifications:

  • Masters or Doctorate degrees in related fields.
  • Knowledge/experience in utility industry and business functions.
  • Certification in Data Science and/or predictive analytics



Jobs Rated Reports for Data Scientist

Posted: 2019-11-14 Expires: 2019-12-14

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Data Scientist

Arizona Public Service (APS)
Phoenix, Arizona

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