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Decision Science Jobs in Texas (NOW HIRING)

Cnpc Usa Corporation

AI Solutions Architect

Houston, TX · On-site

Participate in data science, artificial intelligence, machine learning, industrial analytics, decision science, and operations research initiatives. * Develop, prototype, and evaluate solutions using ...

Cnpcusa

AI Solutions Architect

Houston, TX · On-site

$120 - $160/hr

Participate in data science, artificial intelligence, machine learning, industrial analytics, decision science, and operations research initiatives. * Develop, prototype, and evaluate solutions using ...

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Decision Science information

See Texas salary details

$10.2K

$70.5K

$91.8K

How much do decision science jobs pay per year?

As of Sep 4, 2026, the average yearly pay for decision science in Texas is $70,455.00, 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.

What are popular job titles related to Decision Science jobs in Texas?

For Decision Science jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Decision Science jobs in Texas look for?

The top searched job categories for Decision Science jobs in Texas are:

What cities in Texas are hiring for Decision Science jobs?

Cities in Texas with the most Decision Science job openings:

Decision Science jobs near you
Infographic showing various Decision Science job openings in Texas as of August 2026, with employment types broken down into 84% Full Time, 12% Part Time, and 4% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $70,455 per year, or $33.9 per hour.

Senior Decision Science Analyst - P&C Claims GenAI

USAA

San Antonio, TX • On-site

$79K - $104K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired 1 day ago. Applications are no longer accepted.

USAA rating

8.2

Company rating: 8.2 out of 10

Based on 265 frontline employees who took The Breakroom Quiz

53rd of 174 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 Senior Decision Science Analyst to join our team in a role that encompasses several critical areas of expertise. This individual will be responsible for AI Decision Evaluation & Optimization, ensuring that GenAI-generated recommendations are assessed, validated, and enhanced to drive superior business outcomes and decision quality. A strong background in Experimentation & Causal Analytics is 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 in Unstructured Data & NLP Analytics will 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 to Responsible 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 strong Business Translation & Decision Intelligence capabilities, 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 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:
  • 6 years of data & analytics experience OR a minimum of 4 years of data & analytics experience and up to 2 years of progressive functional business relevant experience within the respective industry of responsibility (i.e.P&C, Bank, Finance, Marketing etc.) for a total of 6 years combined experience 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 and 4 years of experience in data/analytics or functional business experience within the respective industry of responsibility (i.e.P&C, Bank, Finance, Marketing, etc.).
  • 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:
  • 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: $114,080 - $218,030
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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