Data Scientist | Advanced Analytics & Machine Learning

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Date: Dec 16, 2024

Location: PHOENIX, AZ, US, 85004-3903

Company: APS

Our present and future success depends on the creative and dedicated people of our company who demonstrate the principles outlined in the APS Promise: Design for Tomorrow, Empower Each Other and Succeed Together.

Summary

Data Scientist | Advanced Analytics & Machine Learning

Are you passionate about transforming data into actionable insights? As a Data Scientist, you will apply advanced analytics, machine learning, and AI to unlock the potential of structured and unstructured data. Your expertise will drive innovation, support business operations, and shape strategic decision-making.

What your day would be like:

You are responsible for:

+ Data Analysis & Insights: Analyze complex datasets to uncover trends, identify opportunities, and provide actionable recommendations for various business units.

+ Advanced Analytics: Use cutting-edge techniques such as trend analysis, predictive modeling, prescriptive modeling, and “what-if” analyses to solve complex business challenges.

+ Machine Learning & AI Solutions: Design, build, and deploy machine learning models leveraging cloud-based services to address operational and strategic needs.

+ Collaborative Problem-Solving: Partner with subject matter experts, architects, data engineers, project managers, and vendors to deliver data-driven solutions that support business goals.

+ Innovation Leadership: Provide thought-provoking ideas, methods, and algorithms to enhance business decision-making.

The kinds of people we want to talk to have done many of the following:

+ Technical Expertise: Proficiency in advanced data analytics, machine learning algorithms, and cloud-based tools to create scalable solutions.

+ Analytical Mindset: Strong problem-solving and critical-thinking skills to deliver creative, impactful results.

+ Collaboration & Communication: Ability to work effectively both independently and within teams, with exceptional communication skills to share insights and drive consensus.

+ Curiosity & Innovation: A curious mindset and a passion for exploring emerging technologies and methodologies to refine data-driven strategies.

+ Organizational Excellence: Exceptional organizational skills to manage multiple projects and maintain focus on business objectives.

If you’re an innovative thinker with a passion for analytics and technology, we invite you to apply today and help us turn data into a competitive advantage!

Minimum Requirements

Data Scientist | Advanced Analytics & Machine Learning

+ BS degree in Data Science, Computer Science, Information Sciences, Mathematics, Engineering or related fields

+ AND minimum four (4) years related business experience in analytics, data science, predictive modeling, machine learning, statistical modeling and/or user experience role

+ OR advanced degree and two (2) years directly related experience.

+ Possesses a combination of strong analytical and problem-solving skills and programming knowledge, or an equivalent combination of education and experience with demonstrated comparable knowledge and abilities.

+ Strong understanding of data analytics methods and tools like 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 Special Skills, Knowledge or Qualifications

+ Masters or Doctorate degrees in relevant fields

+ One (1) yr of hands-on experience with major cloud machine learning and MLOps services in an enterprise setting.

+ Experience in building enterprise level forecasting and anomaly detection solutions.

+ Experience with ML frameworks such as scikit-learn, Tensorflow and PyTorch

+ Basic understanding of large language models, experience with tuning LLMs and/or building RAG

Major Accountabilities

1) 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.

2) 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

3) 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 through the use of 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.

4) 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.

5) 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

6) Mentoring and coaching junior staff as necessary

Export Compliance / EEO Statement

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.

Pinnacle West Capital Corporation and its subsidiaries and affiliates ('Pinnacle West') maintain a continuing policy of nondiscrimination in employment. It is our policy to provide equal opportunity in all phases of the employment process and in compliance with applicable federal, state, and local laws and regulations. This policy of nondiscrimination shall include, but not be limited to, recruiting, hiring, promoting, compensating, reassigning, demoting, transferring, laying off, recalling, terminating employment, and training for all positions without regard to race, color, religion, disability, age, national origin, gender, gender identity, sexual orientation, marital status, protected veteran status, or any other classification or characteristic protected by law.

For more information on applicable equal employment regulations, please refer to EEO is the Law poster. Federal law requires all employers to verify the identity and employment eligibility of every person hired to work in the United States, refer to E-Verify poster. View the employee rights and responsibilities under the Family and Medical Leave Act (FMLA). Arizona Public Service is a smoke free workplace.

Home based: Home based employees primarily work from their home offices and come into an APS facility on an as-needed basis.

*Employees are expected to reside in Arizona (or New Mexico for Four Corners-based employees).

*Working from a home office requires adequate technology and an appropriate ergonomic set up.

*Role types are subject to change based on business need.