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Full Time Data Science Analytics Jobs in Phoenix, AZ

... an analytical field such as statistics, mathematics, economics, data science, quantitative ... UNAVAILABLEEmployment Type: FULL_TIME

Data Scientist II

Tempe, AZ · On-site

$131K - $172K/yr

... or analysts when needed * Contribute to improving data science practices, tooling, and ... Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 ...

Data Scientist II

Tempe, AZ · Hybrid

$131K - $172K/yr

... or analysts when needed * Contribute to improving data science practices, tooling, and ... Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 ...

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 ...

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

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 ...

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 ...

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 ...

... 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 ...

Data Analyst

Phoenix, AZ · On-site

$95K/yr

This role supports data-driven decision-making by bridging the product and data science functions within the team, translating broad datasets into actionable results. Job Summary * Analyze large and ...

Bachelors degree in Data Science, Statistics, Computer Science, Business Analytics, or a related field. * 3+ years of experience in a data analytics role. * Proficiency in SQL, Python, R, or other ...

The incumbent owns complex AI and data science initiatives end to end: translating ambiguous business problems into analytical approaches, developing models with appropriate validation, deploying to ...

The incumbent owns complex AI and data science initiatives end to end: translating ambiguous business problems into analytical approaches, developing models with appropriate validation, deploying to ...

Showing results 21-40

Full Time Data Science Analytics information

See Phoenix, AZ salary details

$37.2K

$121.9K

$195.1K

How much do full time data science analytics jobs pay per year?

As of Aug 23, 2026, the average yearly pay for full time data science analytics in Phoenix, AZ is $121,868.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,800.00 and $135,000.00 per year, depending on experience, location, and employer.

What is the difference between Full Time Data Science Analytics vs Data Analyst?

AspectFull Time Data Science AnalyticsData Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fieldsBachelor's in Statistics, Mathematics, or related fields
Work EnvironmentCross-functional teams, often in tech or finance industriesBusiness units, marketing, finance departments
Employer & Industry UsageTech companies, finance, healthcare, consultingRetail, marketing, finance, healthcare
Common Search & ComparisonYesYes

Full Time Data Science Analytics roles typically require advanced degrees and involve building predictive models and machine learning algorithms, often in tech-driven industries. Data Analysts focus on interpreting data, creating reports, and supporting decision-making with descriptive analytics. While both roles analyze data, Data Science Analytics emphasizes predictive and prescriptive insights, whereas Data Analysts focus on historical data analysis.

What are popular job titles related to Full Time Data Science Analytics jobs in Phoenix, AZ?

For Full Time Data Science Analytics jobs in Phoenix, AZ, the most frequently searched job titles are:

What job categories do people searching Full Time Data Science Analytics jobs in Phoenix, AZ look for?

The top searched job categories for Full Time Data Science Analytics jobs in Phoenix, AZ are:

Full-time

Medical, Dental, Vision, Retirement

Re-posted 14 days ago


State Farm rating

7.3

Company rating: 7.3 out of 10

Based on 1,558 frontline employees who took The Breakroom Quiz

239th of 311 rated insurance


Job description

Overview

Being good neighbors – helping people, investing in our communities, and making the world a better place – is who we are at State Farm. It is at the core of how we operate and the reason for our success. Come join a #1 team and do some good!

Office Locations: Bloomington, Atlanta, Dallas, Phoenix

HYBRID:  Qualified candidates (in or near hub locations listed below) should plan to spend time working from home and some time working in the office as part of our hybrid work environment.

Why Join Our Data Science Team?

At State Farm, we are dedicated to helping our team members develop to their full potential. As a Data Scientist, you have the unique opportunity to develop both professionally & analytically. You will strengthen your communication skills through interactions with technical and non-technical business partners. Our data science teams also embrace staying current with the evolving data science landscape. 

**Applicants are required to be eligible to lawfully work in the U.S. immediately; employer will not sponsor applicants for U.S. work authorization (e.g., H-1B Visa) or future need for this opportunity. 


Responsibilities

State Farm's Rating & Underwriting Modeling Team is seeking Data Scientists to support the growing demand for advanced analytic solutions across the organization. We are looking for talented, motivated individuals who will partner with business areas to help drive results for the enterprise via the development and adoption of analytic solutions.

Applicants for this posting will be considered for Data Scientist openings in:

  • Property & Casualty Actuarial & Underwriting Modeling Department (PCM): Develops models that support State Farm’s insurance pricing and underwriting decisions

Data Science at State Farm:

As a Data Scientist at State Farm, you will serve as a subject matter expert and consultant. Through this role, you will share your knowledge and work to increase the use of analytics for decision-making across the organization. Below are some of the tasks you can expect in the typical day of a Data Scientist:

  • Develop and validate advanced analytic models
  • Provide input into and/or build datasets to support model development
  • Collaborate with other team members on scoping solutions and project decision points
  • Present on technical topics to peers, leadership, and other stakeholders, including non-technical business partners
  • Lead/mentor other Data Scientists, interns, and other technical work teams
  • Make strategic recommendations on data collection, integration, and retention requirements, incorporating business requirements and knowledge of best practices
  • Serve as a peer reviewer to other model development teams
  • Work on complex problems of diverse scopes
  • Establish and leverage a network of associates with business domain and data expertise
  • Instill a business-oriented mindset that drives the data science & research agenda
  • Build and maintain a relationship with the open-source community by creating and contributing to open-source data science software initiatives

Qualifications

Requirements:

  • Completed Masters or other advanced degrees, in an analytical field such as statistics, mathematics, economics, data science, quantitative marketing, operations research, industrial engineering, etc.
  • Experience building advanced analytic solutions using generalized linear models and at least one of the following: time series analysis, cluster analysis, tree-based algorithms, or neural networks
  • Experience with at least one statistical programming language: SAS, R, and/or Python

Other Things We Look For:

  • Experience with cloud-based environments (e.g., AWS), Linux, and/or SQL
  • Strong communication skills and the ability to manage multiple, diverse stakeholders across business areas and leadership levels

What You Can Expect:

Competitive candidates may be invited to participate in pre-employment testing and/or the interview process. This is where the excitement begins!

**Applicants are required to be eligible to lawfully work in the U.S. immediately; employer will not sponsor applicants for U.S. work authorization (e.g., H-1B Visa) or future need for this opportunity. 


Our Benefits

Because work-life balance is a priority at State Farm, compensation is based on our standard 38:45-hour work week!

  • Potential starting salary range: $102,000 - $163,000
    • Starting salary will be based on skills, background, and experience
    • High end of the range limited to applicants with significant relevant experience
  • Potential yearly incentive pay up to 15% of base salary


At State Farm, we offer more than just a paycheck. Check out our suite of benefits designed to give you the flexibility you need to take care of you and your family!

  • Get Paid! On top of our competitive pay, you are eligible for an annual raise and bonus.
  • Stay Well! Focus on you and your family’s health with our robust health and wellbeing programs. State Farm pays most of your healthcare premium, and we offer multiple healthcare plan options, including a high deductible plan. All medical plans provide 100% coverage for in-network preventative care, AND you and your family have access to vision, dental, telemedicine, 24/7 mental health professionals, and much more!
  • Develop and Grow! Take advantage of educational benefits like industry leading training programs, top-notch tuition assistance programs, employee resource groups, and mentoring.
  • Plan Ahead! Plan for those big moments in life with benefits like fertility/IVF/adoption assistance, college coaching, national discount programs, interactive monthly financial workshops, free financial coaching, and more. You can also start a savings account or consider financing through our State Farm Federal Credit Union!
  • Take a Little “You” Time! You will have access to our generous time off policies designed so you can plan around holidays, family events, volunteering, or just to take a relaxing day off. With the opportunity to initially earn up to 20 days annually plus parental leave, paid holidays, celebration day, life leave (40 hours/year), bereavement leave, and community service/education support days, there will be plenty of time for you!
  • Give Back! We offer several ways to give back through our Matching Gift Program, Good Neighbor Grant Program, and the Employee Assistance Fund.
  • Finish Strong! Plan for retirement using free financial advisors and a 401(k) plan with company contributions of up to 7% of your salary.

Visit our State Farm Careers page for more information on our benefits, locations, and the hiring process of joining the State Farm team!

Qualifications:

Requirements:

  • Completed Masters or other advanced degrees, in an analytical field such as statistics, mathematics, economics, data science, quantitative marketing, operations research, industrial engineering, etc.
  • Experience building advanced analytic solutions using generalized linear models and at least one of the following: time series analysis, cluster analysis, tree-based algorithms, or neural networks
  • Experience with at least one statistical programming language: SAS, R, and/or Python

Other Things We Look For:

  • Experience with cloud-based environments (e.g., AWS), Linux, and/or SQL
  • Strong communication skills and the ability to manage multiple, diverse stakeholders across business areas and leadership levels

What You Can Expect:

Competitive candidates may be invited to participate in pre-employment testing and/or the interview process. This is where the excitement begins!

**Applicants are required to be eligible to lawfully work in the U.S. immediately; employer will not sponsor applicants for U.S. work authorization (e.g., H-1B Visa) or future need for this opportunity. 

Education:UNAVAILABLEEmployment Type: FULL_TIME

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