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Data Science Associate Jobs in Texas (NOW HIRING)

Data Owner Senior Associate

Plano, TX · On-site

  • Medical

  • Retirement

As a Data Owner Senior Associate, you'll leverage AI and ML to make data AI-ready. You'll be ... Closely collaborate with Engineering and Data Science to productionalize your POCs. * Analyze ...

Data Scientist Level 3

Boerne, TX · On-site

  • Medical

  • Life

  • Retirement

  • PTO

... an Associate's degree required. * Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science * A ...

We are seeking an Associate Data Analyst with a passion for analytical problem solving to join our ... Data Science: Apply modern machine learning and AI techniques toreal businessproblems with ...

New

Data Scientist 3

San Antonio, TX · On-site

$138.10 - $153.50/hr

Associates degree with 12 years of relevant experience * Experience supporting government or DoD programs * Relevant experience must be in designing/implementing machine learning, data science ...

Data Scientist 3

San Antonio, TX · On-site

$138K - $153K/yr

Associates degree with 12 years of relevant experience * Experience supporting government or DoD programs * Relevant experience must be in designing/implementing machine learning, data science ...

Associates degree with 12 years of relevant experience * Experience supporting government or DoD programs * Relevant experience must be in designing/implementing machine learning, data science ...

Showing results 41-60

Data Science Associate information

See Texas salary details

$53.6K

$63.4K

$120.2K

How much do data science associate jobs pay per year?

As of Aug 15, 2026, the average yearly pay for data science associate in Texas is $63,389.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,000.00 and $55,400.00 per year, depending on experience, location, and employer.

How does a data science associate typically collaborate with other departments or teams within an organization?

Data Science Associates frequently work cross-functionally, partnering with teams such as engineering, product management, and business analytics to understand project requirements, share findings, and implement data-driven solutions. Collaboration often involves translating complex data results into actionable insights for non-technical stakeholders, ensuring alignment on project goals and deliverables. This role requires strong communication skills, as associates routinely participate in meetings, present analyses, and gather feedback to refine their models or analyses. Effective teamwork helps ensure that data science initiatives support broader business objectives.

What can I do with a data science associate?

A data science associate typically supports data analysis, data cleaning, and model development using tools like Python, R, or SQL. They may assist in preparing reports, visualizations, and insights for decision-making, often working under the guidance of senior data scientists or analysts.

What is a data science associate?

Data Science Associates are early-career professionals who support data-driven projects by collecting, cleaning, analyzing, and interpreting large datasets. They typically work under the guidance of more experienced data scientists and help build predictive models, generate reports, and provide insights to inform business decisions. This role often requires proficiency in programming languages like Python or R, familiarity with statistical methods, and strong problem-solving skills. Data Science Associates play a crucial part in transforming raw data into actionable information for organizations.

What are the key skills and qualifications needed to thrive as a data science associate?

To thrive as a Data Science Associate, you need strong analytical skills, a solid foundation in statistics and mathematics, and proficiency in programming languages like Python or R, often supported by a degree in data science, computer science, or a related field. Familiarity with machine learning frameworks, data visualization tools, and database systems such as SQL is typically required. Excellent problem-solving abilities, effective communication, and collaboration skills help you translate complex data insights into actionable business strategies. These skills are vital for extracting meaningful value from data and supporting data-driven decision-making within organizations.

What is the difference between Data Science Associate vs Data Analyst?

AspectData Science AssociateData Analyst
Required CredentialsBachelor's degree in Data Science, Statistics, or related field; some roles prefer certifications in data analysis or programmingBachelor's degree in Statistics, Mathematics, or related field; often no advanced certifications required
Work EnvironmentCollaborates with data scientists and engineers; involved in building models and algorithmsFocuses on data collection, cleaning, and reporting; supports decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms for data-driven projectsCommon across various industries for business insights and reporting

The Data Science Associate role typically involves more technical work like building models and applying machine learning, whereas Data Analysts focus on interpreting data and creating reports. Both roles require strong analytical skills, but Data Science Associates often have a deeper understanding of programming and statistical modeling.

What are the most commonly searched types of Data Science jobs in Texas?

The most popular types of Data Science jobs in Texas are:

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

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

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

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

What cities in Texas are hiring for Data Science Associate jobs?

Cities in Texas with the most Data Science Associate job openings:

Infographic showing various Data Science Associate job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $63,389 per year, or $30.5 per hour.

Data Owner Senior Associate

JP Morgan Chase

Plano, TX • On-site

Full-time

Medical, Retirement

Re-posted yesterday


JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 495 frontline employees who took The Breakroom Quiz

71st of 171 rated banks


Job description

Are you passionate about leveraging artificial intelligence and machine learning solutions to solve real-world problems?

 As a Data Owner Senior Associate, you'll leverage AI and ML to make data AI-ready. You'll be leveraging Large Language Models, predictive models and generative AI solutions with the Consumer and Community Bank (CCB) Operations Data Owner team. The CCB Data & Analytics team responsibly leverages data from across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.

Job Responsibilities

  • Use your programming skills in Python and design integrated solutions for AI-readiness of data. Leverage python libraries, LLMs, and vendor solutions to enable seamless integration of AIML models with business data needs. 
  • Design and demonstrate POCs for making structured and unstructured data AI-ready. Build and iterate on prototype solutions. 
  • Partner with subject matter experts and help deliver solutions that optimize the data for AIML solutions. 
  • Closely collaborate with Engineering and Data Science to productionalize your POCs.
  • Analyze diverse data assets and sources to prioritize, developing insights that lead to actionable recommendations for sequencing. 

Required qualifications, capabilities and skills

  • Degree in quantitative discipline (e.g., Computer Science, Mathematics, Operations Research, Data Science). 
  • 5+ years' experience in creating predictive models, and generative AI solutions using LLM prompt engineering, Retrieval Augmented Generation (RAG).  
  • Strong Proficiency in Python. 
  • Hands-on experience with LLM APIs, Python libraries like Pandas, NumPy, scikit-learn, and others for data manipulation, modeling and analysis.  
  • Proficiency with data table operations (SQL, etc.).  
  • Experience designing, building and maintaining ETL data pipelines using tools such as SQL, Python, and Alteryx. 
  • Experience with evaluation metrics for ML and generative AI, and with building monitoring dashboards. 

Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs. 

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions.  We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. 

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

Equal Opportunity Employer/Disability/Veterans

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.

The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.

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