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Data Science Associate Jobs in Texas (NOW HIRING)

Data Scientist Associate

Plano, TX · On-site

$55K - $55K/yr

Job Summary As a Data Science Associate in our Merchant Services Cost Insights team, you will play a pivotal role in developing AI-driven models that automate repeatable tasks, creating efficiencies ...

Senior Data Scientist

Plano, TX · On-site

$93K - $156K/yr

Responsibilities The Data Science Associate Principal Scientist will: * Serve as a core owner of the GTM forecasting engine, ensuring the onboarded markets evolve into a scalable, standardized, and ...

Senior Data Scientist

Plano, TX · On-site

$93K - $156K/yr

Responsibilities The Data Science Associate Principal Scientist will: * Own and operate the oneNA category forecasting engine across PBUS, PFUS, and future Quaker and Canada F&B markets. * Modernize ...

Skills, Knowledge and Expertise * Bachelor's degree in computer science or related field ... Azure AI Engineer Associate), or DP-100 (Microsoft Certified: Azure Data Scientist Associate), or ...

Responsibilities The Data Science Associate Principal Scientist will: * Serve as a core owner of the GTM forecasting engine, ensuring the onboarded markets evolve into a scalable, standardized, and ...

Senior Data Scientist

Plano, TX · On-site

$93K - $156K/yr

Responsibilities The Data Science Associate Principal Scientist will: * Own and operate the oneNA category forecasting engine across PBUS, PFUS, and future Quaker and Canada F&B markets. * Modernize ...

Senior Data Scientist

Plano, TX · On-site

$93K - $156K/yr

Responsibilities The Data Science Associate Principal Scientist will: * Own and operate the oneNA category forecasting engine across PBUS, PFUS, and future Quaker and Canada F&B markets. * Modernize ...

Responsibilities The Data Science Associate Principal Scientist will: * Serve as a core owner of the GTM forecasting engine, ensuring the onboarded markets evolve into a scalable, standardized, and ...

The Director, Data Science will lead efforts across personalization, recommendation systems, and ... That's why we hire associates with the intellectual curiosity, energy and drive to want to make a ...

The Director, Data Science will lead efforts across personalization, recommendation systems, and ... That's why we hire associates with the intellectual curiosity, energy and drive to want to make a ...

Principal Associate, Data Science

Plano, TX · On-site +1

$56K - $56K/yr

Plano 5 (31065), United States of America, Plano, Texas Principal Associate, Data Science Principal Associate, Data Science positions offered by Capital One, National Association (Plano, Texas)

Principal Associate, Data Science

Plano, TX · On-site

$56K - $56K/yr

Plano 5 (31065), United States of America, Plano, Texas Principal Associate, Data Science Principal Associate, Data Science positions offered by Capital One, National Association (Plano, Texas)

As a Senior Associate, Data Science , you will be part of Alcon's Analytics & Intelligence function , focused on leveraging advanced analytics to transform the eye care industry. This is an onsite ...

Data Scientist, Assoc

Houston, TX · On-site

$56K - $56K/yr

... As an Associate Data Scientist, you'll leverage analytics, machine learning, and AI to solve ... Skills & Requirements • Master's degree in data science, mathematics, computer science ...

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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 Jul 19, 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.

Is 40 too late for data science?

Age is not a barrier to becoming a data science associate; many professionals transition into data science later in their careers. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications, regardless of age.

Is an Associates in data science worth it?

An associate's degree in data science can provide foundational skills in data analysis, programming, and statistics, which may help entry-level candidates qualify for junior data science roles. However, many employers prefer candidates with a bachelor's degree or higher, and practical experience or certifications in tools like Python, R, or SQL can enhance job prospects. The value depends on career goals and the specific requirements of potential employers.

What can I do with an associate's degree in data science?

A Data Science Associate with an associate's degree can work as a data analyst, supporting data collection, cleaning, and basic analysis using tools like Excel, SQL, and Python. They often assist in generating reports, visualizations, and insights under supervision, and may pursue certifications to enhance their skills for more advanced roles.

What are Data Science Associates?

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 is the role of an associate data scientist?

An associate data scientist supports data analysis and modeling tasks by cleaning and processing data, developing algorithms, and creating visualizations. They often work under supervision to assist in building predictive models and may use tools like Python, R, or SQL to analyze data and generate insights.

What are the key skills and qualifications needed to thrive as a Data Science Associate, and why are they important?

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 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 July 2026, with employment types broken down into 1% As Needed, 70% Full Time, 26% Part Time, 1% Temporary, 1% Contract, and 1% Nights. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $63,389 per year, or $30.5 per hour.
Data Scientist Associate

Data Scientist Associate

JPMorgan Chase & Co

Plano, TX • On-site

$55K - $55K/yr

Full-time

Medical, Retirement

Posted 9 days ago


JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 491 frontline employees who took The Breakroom Quiz

58th of 149 rated banks


Job description

Job Summary

As a Data Science Associate in our Merchant Services Cost Insights team, you will play a pivotal role in developing AI-driven models that automate repeatable tasks, creating efficiencies in business processes to drive value and growth. You'll engage in projects that integrate data science, research, and business domain expertise, focusing on cost-based analytics, business intelligence, data engineering, and visualization. 

Your work will involve leveraging your technical skills and business acumen to collaboratively design and implement end-to-end solutions with tangible commercial impact for our clients and customers. Our team supports both internal Payment Insights and external Digital Merchant Insights applications, as well as custom client analytics requests on an ad hoc basis.

Utilizing tools such as Snowflake, Python, and Tableau, you will develop data pipelines and dashboards, prototype new generative AI capabilities and features, and ensure the quality and integrity of our intelligent solutions. Your contributions will help streamline operations, enhance decision-making, and foster growth through innovative AI applications.

Job Responsibilities

  • Creation of chat assistants using multi-agent AI workflows. 

  • Conceptualize solutions that automate and optimize business processes.

  • Design and refine prompts to improve AI model performance. Work with subject matter experts to align prompts with business goals and user needs.

  • Provide merchants with actionable recommendations to enhance their cost strategies.

  • Iterate designs to enhance functionality and user experience. Conduct rigorous testing for reliability and effectiveness.

  • Use tools like Snowflake, Python, and Tableau to create data pipelines and dashboards. Support AI-driven insights and decision-making.

  • Monitor AI model performance. Identify areas for enhancement. Implement updates to maintain quality and relevance.

  • Work collaboratively with data owners, department managers, data engineers and other stakeholders to aid in the development of data models and algorithms.

  • Support internal Payment Insights and external Digital Merchant Insights applications, as well as custom client analytics requests on an ad hoc basis.

Required Qualifications, Capabilities, and Skills

  • Bachelor's Degree in Science, Technology, Engineering, Mathematics (STEM) or a related field.

  • Proficiency in Python and SQL for data processing and analysis.

  • Expertise in quantitative research techniques and analytics using Python.

  • Proven critical thinking and creative problem-solving skills with ability to translate strategy into deliverables.

  • Knowledge of machine learning/data science theory, techniques, and tools.

  • Experience in leveraging Large Language Models (LLMs) and agent AI techniques.

  • Ability to collaborate effectively and cultivate strong partnerships.

Preferred Qualifications, Capabilities, and Skills

  • Experience in data analysis, data science, or a related field.

  • Ability to perform rapid prototyping in Tableau and streamlit.

  • Familiarity with AWS, Snowflake for data management and analysis.

  • Attention to detail with a proven ability to learn new concepts and skills quickly.

  • Understanding of quality assurance practices and the importance of data integrity.

  • Ability to clearly develop and document analytic requirements with stakeholders.

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

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.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world. 

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