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Data Science Associate Jobs in Arizona (NOW HIRING)

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... As a Senior Associate you will analyze complex problems, mentor others, and maintain elevated ...

$133K - $178K/yr

Azure: AI Engineer Associate, Data Scientist Associate, Generative AI Fundamentals * Databricks: ML Associate, Data Engineer Associate, Generative AI Engineer Associate Who You Are * A strong ...

Azure: AI Engineer Associate, Data Scientist Associate, Generative AI Fundamentals * Databricks: ML Associate, Data Engineer Associate, Generative AI Engineer Associate Who You Are * A strong ...

... Associate] is a plus - Designing and implementing thorough data architecture strategies ... Engineering, Data Science, and Data Governance - Architecting and implementing cloud-based ...

Azure AI Engineer Associate, Azure Solutions Architect Expert; AWS Certified Machine Learning ... Bachelor's or Master's degree in Computer Science, Engineering, Data Science, AI, or related field

... data Science/Data Analyst/Data Engineer/AI/Machine learning Positions Preferred SKILLS Associate or Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical ...

Collaborate with cross-functional teams, including data scientists, business analysts, and IT teams ... Azure certifications, such as Azure Data Engineer Associate or Azure Solutions Architect Expert.

Bachelor's degree in Computer Science, Data Science, Engineering, or related field (recent grads encouraged to apply). * Demonstrated experience or coursework in AI, machine learning, data analytics ...

Bachelor's degree in Computer Science, Data Science, Engineering, or related field (recent grads encouraged to apply). * Demonstrated experience or coursework in AI, machine learning, data analytics ...

In a standard work week, associates may work up to one remote "flex day" (with leader approval ... scientists, and analysts. Additional Job Considerations * This role requires collaboration ...

In a standard work week, associates may work up to one remote "flex day" (with leader approval ... scientists, and analysts. Additional Job Considerations * This role requires collaboration ...

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Data Science Associate information

See Arizona salary details

$53.6K

$63.4K

$120.2K

How much do data science associate jobs pay per year?

As of Jun 9, 2026, the average yearly pay for data science associate in Arizona is $63,404.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,000.00 and $55,400.00 per year, depending on experience, location, and employer.

How does a Data Science Associate typically collaborate with other departments or teams within an organization?

Data Science Associates frequently work cross-functionally, partnering with teams such as engineering, product management, and business analytics to understand project requirements, share findings, and implement data-driven solutions. Collaboration often involves translating complex data results into actionable insights for non-technical stakeholders, ensuring alignment on project goals and deliverables. This role requires strong communication skills, as associates routinely participate in meetings, present analyses, and gather feedback to refine their models or analyses. Effective teamwork helps ensure that data science initiatives support broader business objectives.

Is data science dead in 10 years?

Data Science Associate roles are expected to remain relevant in the next decade as organizations continue to rely on data-driven decision making. Advances in automation and AI may change some tasks, but skills in statistical analysis, programming, and machine learning will still be valuable for interpreting complex data. Continuous learning and adapting to new tools like Python, R, and cloud platforms will be important for future success in the field.

What are Data Science Associates?

Data Science Associates are early-career professionals who support data-driven projects by collecting, cleaning, analyzing, and interpreting large datasets. They typically work under the guidance of more experienced data scientists and help build predictive models, generate reports, and provide insights to inform business decisions. This role often requires proficiency in programming languages like Python or R, familiarity with statistical methods, and strong problem-solving skills. Data Science Associates play a crucial part in transforming raw data into actionable information for organizations.

What are the key skills and qualifications needed to thrive as a Data Science Associate, and why are they important?

To thrive as a Data Science Associate, you need strong analytical skills, a solid foundation in statistics and mathematics, and proficiency in programming languages like Python or R, often supported by a degree in data science, computer science, or a related field. Familiarity with machine learning frameworks, data visualization tools, and database systems such as SQL is typically required. Excellent problem-solving abilities, effective communication, and collaboration skills help you translate complex data insights into actionable business strategies. These skills are vital for extracting meaningful value from data and supporting data-driven decision-making within organizations.

What is the difference between Data Science Associate vs Data Analyst?

AspectData Science AssociateData Analyst
Required CredentialsBachelor's degree in Data Science, Statistics, or related field; some roles prefer certifications in data analysis or programmingBachelor's degree in Statistics, Mathematics, or related field; often no advanced certifications required
Work EnvironmentCollaborates with data scientists and engineers; involved in building models and algorithmsFocuses on data collection, cleaning, and reporting; supports decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms for data-driven projectsCommon across various industries for business insights and reporting

The Data Science Associate role typically involves more technical work like building models and applying machine learning, whereas Data Analysts focus on interpreting data and creating reports. Both roles require strong analytical skills, but Data Science Associates often have a deeper understanding of programming and statistical modeling.

What are the most commonly searched types of Data Science jobs in Arizona? The most popular types of Data Science jobs in Arizona are:
What are popular job titles related to Data Science Associate jobs in Arizona? For Data Science Associate jobs in Arizona, the most frequently searched job titles are:
What cities in Arizona are hiring for Data Science Associate jobs? Cities in Arizona with the most Data Science Associate job openings:
Infographic showing various Data Science Associate job openings in Arizona as of May 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, 1% Temporary, and 1% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $63,404 per year, or $30.5 per hour.
US Tech - AI Engineering Senior Associate

US Tech - AI Engineering Senior Associate

Pwc

Phoenix, AZ • On-site

$55K - $187K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 73 frontline employees who took The Breakroom Quiz

20th of 57 rated business consultants


Job description

Industry/Sector

Not Applicable

Specialism

Data Science

Management Level

Senior Associate

Job Description & Summary

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.
Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven decision making. You will work on developing predictive models, conducting statistical analysis, and creating data visualisations to solve complex business problems.
Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn't clear, you ask questions, and you use these moments as opportunities to grow.
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
Respond effectively to the diverse perspectives, needs, and feelings of others.
Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems.
Use critical thinking to break down complex concepts.
Understand the broader objectives of your project or role and how your work fits into the overall strategy.
Develop a deeper understanding of the business context and how it is changing.
Use reflection to develop self awareness, enhance strengths and address development areas.
Interpret data to inform insights and recommendations.
Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.
The Opportunity
As part of the People Tech & AI team you will develop, test, and validate Generative AI agents and data pipelines, promoting reliability, scalability, and alignment with PwC standards. As a Senior Associate you will analyze complex problems, mentor others, and maintain elevated standards while collaborating with multidisciplinary teams to support AI-enabled client solutions. This position provides an exciting opportunity to enhance your skills in automated testing and governance controls while contributing to innovative AI-driven solutions.
Responsibilities
- Apply automated testing and governance controls effectively
- Analyze complex issues and provide actionable insights
- Mentor and guide junior associates in their tasks
- Uphold rigorous standards of quality and technical excellence
What You Must Have
- Bachelor's Degree in Computer Science, Data Processing/Analytics/Science
- At least 2 years of experience in data engineering, AI/ML engineering, or quality engineering
- In lieu of a Bachelor's Degree, demonstrating, in addition to the minimum years of experience required for the role, three years of specialized training and/or progressively responsible work experience in technology for each missing year of college
What Sets You Apart
- Demonstrating three years of specialized training in technology preferred
- Experience with test automation and CI/CD pipelines
- Familiarity with LLMs and prompt engineering concepts
- Understanding enterprise data patterns and quality frameworks
- Building and maintaining automated test suites for AI agents
- Validating integrations with Power Automate platform
- Executing LLM evaluation frameworks using defined metrics
- Working with data scientists and ML engineers
- Upholding professional standards and documentation expectations

Travel Requirements

Up to 20%

Job Posting End Date

The salary range for this position is: $55,000 - $151,470. For residents of Washington state the salary range for this position is: $55,000 - $187,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

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