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Decision Engineer Jobs in Texas (NOW HIRING)

USAA

Decision Science Analyst I

San Antonio, TX · On-site

... decision science analyst occupation. Alternatively, employer will accept a Master's degree in ... Advanced SQL programming skills, capable of developing complex queries, stored procedures, and ETL ...

USAA

Decision Science Analyst I

San Antonio, TX · On-site +1

... decision science analyst occupation. Alternatively, employer will accept a Master's degree in ... Advanced SQL programming skills, capable of developing complex queries, stored procedures, and ETL ...

Lendem Solutions

Decision Engine Architect

Plano, TX · On-site

$61.25 - $78.75/hr

The Decision Engine Architect (DEA) designs, implements, and optimizes the acquisition and ... This role blends technology, engineering, analytics, and risk strategy to create scalable flows ...

Artemis Connection

Decision Scientist

San Antonio, TX · On-site

$75 - $95/hr

Decision Scientist In this 3-4 month contract engagement, we're looking for an experienced data ... BA/BS in Statistics, Mathematics, Computer Science, Engineering, Economics, Psychology ...

Artemis Connection

Decision Scientist

San Antonio, TX · On-site

$75 - $95/hr

Decision Scientist In this 3-4 month contract engagement, we're looking for an experienced data ... BA/BS in Statistics, Mathematics, Computer Science, Engineering, Economics, Psychology ...

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Decision Engineer information

What are the key skills and qualifications needed to thrive as a decision engineer, and why are they important?

To thrive as a Decision Engineer, you need strong analytical skills, expertise in data modeling, and a background in fields like operations research, mathematics, or computer science. Familiarity with decision analysis tools, optimization software (such as CPLEX or Gurobi), and programming languages like Python or R is typically required. Exceptional problem-solving abilities, communication skills, and the capacity to synthesize complex information are valuable soft skills in this role. These competencies enable Decision Engineers to develop effective solutions for complex business challenges and drive data-informed decision-making.

How does a decision engineer typically collaborate with data scientists and business stakeholders to deliver impactful solutions?

Decision Engineers frequently act as a bridge between technical teams and business stakeholders. In a typical workflow, they collaborate with data scientists to understand the underlying data models and analytical outputs, then work closely with business leaders to translate these insights into actionable strategies. This often involves facilitating discussions to clarify business objectives, ensuring analytical approaches align with end goals, and iteratively refining solutions based on feedback. Strong communication and project management skills are essential, as Decision Engineers must synthesize complex information and drive consensus among diverse teams.

What is a decision engineer?

Decision Engineers are professionals who apply analytical, mathematical, and computational techniques to help organizations make data-driven decisions. They often use tools from operations research, data science, and systems engineering to evaluate complex options, optimize processes, and predict outcomes. Their work enables businesses to solve challenging problems, improve efficiency, and minimize risks in decision-making processes.

What is the difference between Decision Engineer vs Data Scientist?

AspectDecision EngineerData Scientist
Required credentialsBachelor's or master's in engineering, analytics, or related fieldsBachelor's or master's in statistics, computer science, or related fields
Work environmentFocus on designing decision models, algorithms, and optimization processesFocus on analyzing data, building predictive models, and extracting insights
Employer and industry usageUsed in industries like manufacturing, finance, and logistics for decision automationCommon in tech, finance, healthcare for data analysis and modeling

Decision Engineers primarily develop decision models and optimize processes to improve business outcomes, while Data Scientists analyze data to generate insights and predictive models. Both roles require strong analytical skills, but Decision Engineers focus more on decision automation and operational efficiency, whereas Data Scientists focus on data analysis and modeling.

What are popular job titles related to Decision Engineer jobs in Texas? For Decision Engineer jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Decision Engineer jobs in Texas look for? The top searched job categories for Decision Engineer jobs in Texas are:
What cities in Texas are hiring for Decision Engineer jobs? Cities in Texas with the most Decision Engineer job openings:
Decision Engineer jobs near you
Infographic showing various Decision Engineer job openings in Texas as of August 2026, with employment types broken down into 84% Full Time, 13% Part Time, and 3% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution.

Decision Science Analyst

Tata Consultancy Service Limited

San Antonio, TX • On-site

$80K - $140K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 24 days ago

Job description

Role - Decision Science Analyst
Experience Required - 8+ Years
Must Have Technical/Functional Skills
This role provides analytics and data-quality support for Member and Channel initiatives by translating business requirements into validated data assets, test coverage, and actionable insights. The Decision Analyst partners with business stakeholders, IT/data engineering, and QA to ensure data accuracy, traceability, and alignment of reporting requirements to the final delivered datasets.
Snowflake(Cortex Analyst & CoCo),Python,SQL are mandatory with good domain knowledge of Customer 360(Member Data & Channel initiatives)
Leverages intermediate business, analytical and technical knowledge to participate in discussions with cross functional teams to understand and collaborate on business objectives and influence solution strategies.
Applies advanced analytical techniques to solve business problems that are typically medium to large scale with impact to current and/or future business strategy.
Applies 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 colleagues for peer review and senior/lead analysts.
Incorporates visualization techniques to support the relevant points of the analysis and ease the understanding for less technical audiences.
Supports identifying and gathering 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).
Thoroughly documents assumptions, methodology, validation and testing to facilitate peer reviews and compliance requirements.
Adopts emerging technology that can affect the application of scientific methodologies and/or quantitative analytical approaches to problem resolutions.
Delivers analysis/findings in a manner that conveys understanding, influences up to mid level management, garners support for recommendations, drives business decisions, and influences business strategy. Snowflake cortex,Alation,A/B testing,Hypothesis Testing
stakeholders
Roles & Responsibilities
Analyze large datasets to identify trends and insights
Build statistical and machine learning models
Translate business problems into analytical solutions
Create dashboards and reports for stakeholders
Support decision-making with data-driven recommendations
Collaborate with business and technical teams
Generic Managerial Skills, If any
Leadership & team coordination
Stakeholder management
Communication & presentation skills
Problem-solving & decision-making
Time management & prioritization
Project delivery & accountability
Base Salary Range : $80,000 to $140,000 Per Annum
TCS Employee Benefits Summary:
Discretionary Annual Incentive.
Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
Family Support: Maternal & Parental Leaves.
Insurance Options: Auto & Home Insurance, Identity Theft Protection .
Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.

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