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Decision Science Jobs in Arizona (NOW HIRING)

As a Decision Science Analyst Lead , you will be at the forefront of creating innovative analytical capabilities, influencing strategic decisions, and developing actionable insights that enhance ...

As a Decision Science Analyst Lead , you will be at the forefront of creating innovative analytical capabilities, influencing strategic decisions, and developing actionable insights that enhance ...

Meticulous attention to detail A working knowledge of Unix Some knowledge of Perl Preferred Qualifications Degree in computer science, decision science, engineering, or related field Previous ...

Operations Research Engineer

Phoenix, AZ · On-site

$128K - $211K/yr

They identify and solve highly complex problems across factory performance, production loading, equipment optimization, decision science, and supply and distribution network operations, requiring ...

They identify and solve highly complex problems across factory performance, production loading, equipment optimization, decision science, and supply and distribution network operations, requiring ...

Delivers clinical value propositions and engages with key decision-maker stakeholders in medical ... Serve as a scientific expert at key medical and scientific conferences, advisory boards, clinical ...

Delivers clinical value propositions and engages with key decision-maker stakeholders in medical ... Serve as a scientific expert at key medical and scientific conferences, advisory boards, clinical ...

... and decision-support tools that improve planning, efficiency, cost management, and service ... The Data Science Analyst partners with business leaders, operations teams, IT, data engineering ...

Data Science Analyst

Phoenix, AZ · On-site

$95 - $135/hr

... and decision-support tools that improve planning, efficiency, cost management, and service ... The Data Science Analyst partners with business leaders, operations teams, IT, data engineering ...

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Decision Science information

See Arizona salary details

$10.3K

$70.5K

$91.8K

How much do decision science jobs pay per year?

As of Aug 29, 2026, the average yearly pay for decision science in Arizona is $70,473.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,200.00 and $87,100.00 per year, depending on experience, location, and employer.

What is a decision science?

A Decision Science job involves using data, analytics, and mathematical models to guide business decisions. Professionals in this field apply statistical analysis, machine learning, and optimization techniques to solve complex problems. They work closely with stakeholders to translate data insights into strategic actions. Decision Science roles are common in industries like finance, healthcare, marketing, and technology. The goal is to enhance decision-making processes by leveraging data-driven approaches.

What does a decision science do?

In a Decision Science role, your day often involves analyzing large datasets, building predictive models, and interpreting results to help inform business strategies or solve operational problems. You may collaborate closely with cross-functional teams such as product, marketing, and engineering to translate insights into actionable recommendations. Other daily activities typically include exploratory data analysis, preparing reports or visualizations, and presenting findings to both technical and non-technical stakeholders. This role offers fast-paced, intellectually rewarding work with ample opportunity for professional growth in both technical and strategic career paths.

What are the key skills and qualifications needed to thrive in decision science?

To excel in Decision Science, you need a strong background in statistics, mathematics, data analysis, and business acumen, often supported by a degree in data science, economics, or a related field. Expertise with tools like Python, R, SQL, data visualization platforms, and familiarity with machine learning models or certifications is highly valuable. Strong problem-solving, critical thinking, and communication skills distinguish top performers in this role. Combining these abilities allows professionals to turn complex data into strategic insights that drive effective business decisions.

How much does a decision scientist make?

Decision scientists typically earn a median salary ranging from $80,000 to $130,000 annually, depending on experience, education, and location. Senior roles or those with advanced skills in data analysis, machine learning, and programming can earn higher salaries, often exceeding $150,000. Compensation also varies based on industry and company size.

Is decision science a good career?

Decision science is a growing field that involves analyzing data to inform strategic choices, often requiring skills in statistics, data analysis, and programming. It offers opportunities in various industries such as finance, healthcare, and technology, with roles typically requiring a strong analytical background and proficiency in tools like Python or R. The career can be rewarding for those interested in data-driven decision-making and problem-solving.

What is a decision science job?

A decision science job involves analyzing data and applying quantitative methods to help organizations make informed decisions. Professionals in this field often use statistical tools, machine learning, and data visualization to solve complex problems and improve strategic outcomes.

What kind of jobs use decision science?

Decision science is used in roles such as data analysts, data scientists, operations researchers, and business analysts, where analyzing data and modeling decision-making processes are essential. These jobs often require skills in statistics, data visualization, and tools like Python, R, or SQL to inform strategic choices across industries like finance, healthcare, marketing, and technology.
Infographic showing various Decision Science job openings in Arizona as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $70,473 per year, or $33.9 per hour.

Decision Science Analyst Lead

Phoenix, AZ


USAA
Finance and Insurance • 10K+ employees

8.2

Company rating: 8.2 out of 10

Based on 265 frontline employees who took The Breakroom Quiz

52nd of 173 rated banks

People enjoy working here

Good employer

Recommended by students


Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 19 days ago


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

This is an exciting opportunity to join and help build a newly established Member Value Decision Science team, playing a pivotal role in shaping how data and analytics drive value for our members.

As a Decision Science Analyst Lead, you will be at the forefront of creating innovative analytical capabilities, influencing strategic decisions, and developing actionable insights that enhance member experiences and business outcomes. This role applies advanced statistical modeling, quantitative analysis, and innovative analytical techniques to uncover insights, solve complex business challenges, and influence strategic direction. By integrating and interpreting diverse datasets, business metrics, and predictive models, the analyst transforms information into actionable recommendations that enable informed decision-making and measurable business impact.

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. Relocation assistance is not available for this position.

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:

  • Experience developing and utilizing Python-based tools and applications to support data analysis, process automation, and business decision-making.
  • Experience building and deploying Streamlit applications for data visualization, reporting, and stakeholder engagement.
  • Experience working with or supporting industry associations, professional organizations, or association-level initiatives, including collaboration with external stakeholders and governance groups.

Compensation range: The salary range for this position is: $143,320.00- $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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