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Data Science Analyst Jobs in Phoenix, AZ (NOW HIRING)

Sr. Manager AI & Data Science We are seeking a visionary and technically strong Senior Manager of ... Data analysis skills. Ability to analyze complex data and turn it into actionable information

Data Scientist II

Tempe, AZ · Hybrid

$131K - $172K/yr

Deliver high-quality analytical and modeling outputs with limited manager oversight * Collaborate closely with data science peers and cross-functional partners across business units * Help ensure ...

Data Scientist

Phoenix, AZ · On-site

$110 - $140/hr

Partner with stakeholders to identify business challenges and develop data science solutions. * Translate business requirements into analytical frameworks and predictive models. * Build, test ...

Data analysis skills. Ability to analyze complex data and turn it into actionable information ... Oversee data science project lifecycles, from ideation to production, ensuring alignment with ...

Establishes best practices for data analysis and reporting. * Other duties as assigned. Skills and Competencies * A specialization in machine-learning, artificial intelligence, cognitive science or ...

New

Data Scientist

Phoenix, AZ · On-site

$136K - $164K/yr

... science project lifecycle - data mining and exploration, model development and evaluation, production deployment, measurement, and tracking * Perform time-series analyses, hypothesis testing, and ...

Data Scientist

Chandler, AZ · On-site

$140 - $190/hr

Proficiency in Python and common data science libraries/frameworks. * Experience with cloud platforms and modern AI/ML toolsets. * Strong analytical, problem‑solving, and communication skills.

Proficiency in Python and common data science libraries/frameworks. Experience with cloud platforms and modern AI/ML toolsets. Strong analytical, problem-solving, and communication skills. Preferred ...

Time Series Analysis * Experience with ML Ops practices and deploying machine learning models into production. * Proficiency in Python and common data science libraries/frameworks. * Experience with ...

Data Scientist II

Tempe, AZ · On-site

$131K - $172K/yr

Deliver high-quality analytical and modeling outputs with limited manager oversight * Collaborate closely with data science peers and cross-functional partners across business units * Help ensure ...

Data Scientist II

Tempe, AZ · Hybrid

$131K - $172K/yr

Deliver high-quality analytical and modeling outputs with limited manager oversight * Collaborate closely with data science peers and cross-functional partners across business units * Help ensure ...

Data Scientist II

Tempe, AZ · On-site

$131K - $172K/yr

Deliver high-quality analytical and modeling outputs with limited manager oversight * Collaborate closely with data science peers and cross-functional partners across business units * Help ensure ...

... analytical projects and provide data-driven recommendations that improve business performance and operational efficiency. Requirements: * Bachelor's degree required in Mathematics, Data Science ...

Senior AI / Data Science Engineer

Phoenix, AZ · On-site

$105K - $143K/yr

Analyze large-scale manufacturing datasets to identify yield detractors, process excursions, root ... Data Science, Machine Learning, Artificial Intelligence, Advanced Analytics. Performing yield ...

No prior AI experience is required--your data science expertise, analytical thinking, and communication skills are what matter most. Key Responsibilities * Review, edit, and refine AI-generated ...

Showing results 41-60

Data Science Analyst information

See Phoenix, AZ salary details

$32.1K

$78K

$128.4K

How much do data science analyst jobs pay per year?

As of Aug 20, 2026, the average yearly pay for data science analyst in Phoenix, AZ is $77,993.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,000.00 and $91,500.00 per year, depending on experience, location, and employer.

What is a data science analyst?

Data Science Analysts are professionals who collect, process, and analyze large sets of data to uncover trends, patterns, and insights that help organizations make informed decisions. They use statistical methods, programming languages like Python or R, and data visualization tools to interpret data. Their work often supports business strategy, product development, or operational improvements by turning complex data into actionable information.

What are the key skills and qualifications needed to thrive as a data science analyst, and why are they important?

To thrive as a Data Science Analyst, you need a solid background in statistics, data analysis, and programming—often supported by a degree in a quantitative field. Familiarity with tools and languages such as Python, R, SQL, and data visualization software, along with certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate, is important. Strong problem-solving skills, curiosity, and the ability to communicate complex findings clearly help you stand out in this role. These skills enable effective data-driven decision-making and bridge the gap between technical analysis and business strategy.

What are some common challenges data science analysts face when working with cross-functional teams?

Data Science Analysts often collaborate with professionals from engineering, product, and business teams, which can present communication challenges due to varying levels of technical understanding. Translating complex analytical findings into actionable business insights requires strong communication skills and adaptability. Additionally, aligning data-driven recommendations with business objectives and timelines may require negotiation and flexibility to ensure project success.

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

AspectData Science AnalystData Analyst
Required SkillsStatistical analysis, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work EnvironmentData-driven projects, predictive modeling, advanced analyticsReporting, data cleaning, descriptive analysis
Common IndustriesTech, finance, healthcare, e-commerce

Data Science Analysts focus on predictive modeling and advanced analytics using programming and machine learning, while Data Analysts primarily handle data cleaning, reporting, and descriptive analysis. Both roles are essential in data-driven organizations, but Data Science Analysts typically require stronger technical skills and work on more complex projects.

What cities near Phoenix, AZ are hiring for Data Science Analyst jobs?

Cities near Phoenix, AZ with the most Data Science Analyst job openings:

Infographic showing various Data Science Analyst job openings in Phoenix, AZ as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $77,993 per year, or $37.5 per hour.

Lead Decision Science Analyst - P&C Claims GenAI

USAA

Phoenix, AZ • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 16 days ago


USAA rating

8.2

Company rating: 8.2 out of 10

Based on 262 frontline employees who took The Breakroom Quiz

51st of 171 rated banks


Job description

Why USAA?

At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the #1 choice for the military community and their families.

Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful.

We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs.

The Opportunity

We are seeking a skilled Lead Decision Science Analyst to join our team in a role that encompasses several critical areas of expertise. This individual will be responsible forAI Decision Evaluation & Optimization, ensuring that GenAI-generated recommendations are assessed, validated, and enhanced to drive superior business outcomes and decision quality. A strong background inExperimentation & Causal Analyticsis essential, with a proven ability in A/B testing, causal inference, and impact measurement to quantify the true business value of GenAI solutions and differentiate correlation from causation. Furthermore, proficiency inUnstructured Data & NLP Analyticswill be vital for extracting insights from diverse text-based data sources such as claims notes and documents, utilizing NLP and semantic analysis techniques.

The role also demands a commitment toResponsible AI & Governance, including a solid understanding of AI risks, bias detection, explainability, compliance, and governance to ensure AI-assisted decisions are trustworthy and auditable. Finally, the candidate must possess strongBusiness Translation & Decision Intelligencecapabilities, enabling them to translate complex business problems into AI-driven decision strategies, define key success metrics, and integrate GenAI seamlessly into operational workflows.

This role is remote eligible in the continental U.S. with occasional business travel. However, individuals residing within a 60-mile radius of a USAA office will be expected to work on-site four days per week.

What you'll do:

  • Leverages expert business, analytical and technical knowledge to lead discussions with cross functional teams to understand and collaborate highly complex business objectives and influence solution strategies.
  • Applies advanced analytical techniques to solve business problems that are typically large scale with significant impact to current and/or future business strategy.
  • Organizes and oversees the development of requirements/resources necessary to meet established objectives.
  • Applies innovative and scientific/quantitative analytical approaches to draw conclusions and make recommendations to answer the business objective and drive the appropriate change.
  • Translates recommendation into communication materials to effectively present to all levels of management.
  • Incorporates visualization techniques to support the relevant points of the analysis and ease the understanding for less technical audiences.
  • Identifies and gathers the relevant and quality data sources required to fully answer and address the problem for the recommended strategy through testing or exploratory data analysis (EDA).
  • Integrates/transforms disparate data sources and determines the appropriate data hygiene techniques to apply.
  • Thoroughly documents assumptions, methodology, validation and testing to facilitate peer reviews and compliance requirements.
  • Monitors, understands and adopts emerging technology that can affect the application of scientific methodologies and/or quantitative analytical approaches to problem resolutions.
  • Succinctly delivers complex analysis/findings in a manner that conveys understanding, influences senior executives, garners support for recommendations, drives business decisions, and influences business strategy.
  • Provides subject matter expertise in operationalizing recommendations.
  • Researches and pursues the latest and/or industry leading practices in data and analytics, (Ex: Cloud, Data Mining, Python, Neural Networks, Sensor data, IoT, Streaming/NRT data) to advance the overall DSA community knowledge.
  • Identifies opportunities to continue to learn in the data and analytics space, whether informal (e.g., Coursera, Udemy, Kaggle, Code Up, etc.) or formal (e.g.Certifications or advanced coursework).
  • Innovates to create new and emerging data sets, and incorporation (data wrangling, data munging) into new insights.
  • Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures.

What you have:

  • Bachelor's degree in Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science, or a business or quantitative field; OR 4 years of relevant education and/or experience.
  • 8 years of experience in a decision support analytic function OR Advanced degree in relevant discipline, 6 years of experience in a decision support analytic function.
  • Demonstrates expert skills in mathematical and statistical techniques and approaches used to drive fact-based decision-making.
  • Expert knowledge of data analysis tools, data visualization, developing analysis queries and procedures in SQL, SAS, BI tools or other analysis software, and relevant industry data & methods and ability to connect external insights to business problems.
  • Experience with new and emerging data sets, and incorporation (data wrangling, data munging) into new insights.

What sets you apart:

  • AI Decision Evaluation & Optimization - Ability to assess, validate, and improve GenAI-generated recommendations, ensuring they drive better business outcomes and decision quality.
  • Experimentation & Causal Analytics - Expertise in A/B testing, causal inference, and impact measurement to quantify the value of GenAI solutions and separate true business impact from correlation.
  • Unstructured Data & NLP Analytics - Ability to derive insights from claims notes, documents, communications, and other text-based data using NLP and semantic analysis techniques.
  • Responsible AI & Governance - Knowledge of AI risks, bias detection, explainability, compliance, and governance to ensure AI-assisted decisions are trustworthy and auditable.
  • Business Translation & Decision Intelligence - Ability to translate business problems into AI-enabled decision strategies, define success metrics, and embed GenAI into operational claims workflows.
  • US military experience gained through military service or gained as a military spouse / domestic partner

Compensation range: The salary range for this position is: $143,320 - $273,930.

USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.).

Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location.

Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors.

The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job.

Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals.

For more details on our outstanding benefits, visit our benefits page on USAAjobs.com.

Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting.

USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.


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