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Decision Science Jobs (NOW HIRING)

Focus on continuous improvement in decision science delivery and outcomes in pursuit of business optimization. 5. Champion the use of tools to solve business challenges and deliver solutions that are ...

Focus on continuous improvement in decision science delivery and outcomes in pursuit of business optimization. 5. Champion the use of tools to solve business challenges and deliver solutions that are ...

Focus on continuous improvement in decision science delivery and outcomes in pursuit of business optimization. 5. Champion the use of tools to solve business challenges and deliver solutions that are ...

Focus on continuous improvement in decision science delivery and outcomes in pursuit of business optimization. 5. Champion the use of tools to solve business challenges and deliver solutions that are ...

Focus on continuous improvement in decision science delivery and outcomes in pursuit of business optimization. 5. Champion the use of tools to solve business challenges and deliver solutions that are ...

Focus on continuous improvement in decision science delivery and outcomes in pursuit of business optimization. 5. Champion the use of tools to solve business challenges and deliver solutions that are ...

Focus on continuous improvement in decision science delivery and outcomes in pursuit of business optimization. 5. Champion the use of tools to solve business challenges and deliver solutions that are ...

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Decision Science information

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$11K

$75.6K

$98.5K

How much do decision science jobs pay per year?

As of Jun 26, 2026, the average yearly pay for decision science in the United States is $75,624.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $93,500.00 per year, depending on experience, location, and employer.

What is a Decision Science job?

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 jobs can you get with a decision science degree?

A decision science degree prepares individuals for roles such as data analyst, business analyst, operations analyst, or data scientist. These jobs involve analyzing data, developing models, and supporting decision-making processes using tools like statistical software and programming languages. Strong analytical skills and knowledge of data visualization are essential for success in these positions.

What is a decision scientist's job?

A decision scientist analyzes data to help organizations make informed choices by applying statistical methods, machine learning, and data visualization. They often work with large datasets, use tools like Python or R, and collaborate with teams to develop data-driven strategies. Their goal is to improve decision-making processes across various business functions.

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 may also include bonuses and benefits based on performance 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.

What are the key skills and qualifications needed to thrive in the Decision Science position, and why are they important?

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.

What does a typical day look like for someone working in Decision Science?

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.

More about Decision Science jobs
What cities are hiring for Decision Science jobs? Cities with the most Decision Science job openings:
What states have the most Decision Science jobs? States with the most job openings for Decision Science jobs include:
Decision Science Analyst (Mid-level) - Auto Modeling

Decision Science Analyst (Mid-level) - Auto Modeling

USAA

Plano, TX • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 14 days ago


USAA rating

8.3

Company rating: 8.3 out of 10

Based on 251 frontline employees who took The Breakroom Quiz

35th of 142 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

As a dedicated Decision Science Analyst, you will provide decision support for business areas across the association. Staff in this area will be responsible for applying mathematical and statistical techniques and/or innovative /quantitative analytical approaches to draw conclusions and make 'insight to action' recommendations to answer business objectives and drive change. The essence of work performed by the Decision Science Analyst involves gathering, manipulating and synthesizing data (e.g., attributes, transactions, behaviors, etc.), models and other relevant information to draw conclusions and make recommendations resulting in implementable strategies.

We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position can be based in San Antonio, TX, Plano, TX, Colorado, CO, Phoenix, AZ, or Tampa, FL.

Relocation assistance is available for this position.

What you'll do:

  • Leverages advanced business, analytical and technical knowledge to participate or 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 medium to large scale with significant impact to current and/or future business strategy.

  • Applies innovative and scientific/quantitative analytical approaches to draw conclusions and make 'insight to action' recommendations to answer the business objective and drive the appropriate change.

  • Translates recommendation into communication materials to effectively present to various 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.

  • Understands and adopts emerging technology that can affect the application of scientific methodologies and/or quantitative analytical approaches to problem resolutions.

  • Succinctly delivers analysis/findings in a manner that conveys understanding, influences various levels of management, garners support for recommendations, drives business decisions, and influences business strategy.

  • Provides subject matter expertise in operationalizing recommendations.

  • Remains informed on current data and analytics trends, (Ex: Cloud, Data Mining, Python, Neural Networks, Sensor data, IoT, Streaming/NRT data).

  • 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).

  • 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 quantitative analytics field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science or other quantitative discipline; OR 4 years of related experience in statistics, mathematics or quantitative analytics (in addition to the minimum years of experience required) may be substituted in lieu of degree.

  • 4 years of experience in data/analytics or functional business experience within the respective industry of responsibility (i.e.P&C, Bank, Finance) OR Advanced degree in quantitative analytics field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science or other quantitative discipline with 2 years experience in data/analytics or functional business experience within the respective industry of responsibility (i.e.P&C, Bank, Finance).

    Demonstrates advanced skills in mathematical and statistical techniques and approaches used to drive fact-based decision-making.

  • Advanced 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 in Property and Casualty Insurance.

  • Working experience using SQL, Tableau, Snowflake and Sigma.

  • US military experience through military service or a military spouse/domestic partner.

Compensation range: The salary range for this position is: $93,770 - $179,240.

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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