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Data Science Associate Jobs in Fort Worth, TX (NOW HIRING)

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)

Director, Data Science

Irving, TX · Remote

  • Medical

  • Retirement

  • PTO

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

$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)

Data Scientist- Associate

Dallas, TX · On-site

$58K - $58K/yr

Required : • Minimum one year of experience or strong internship/academic projects in data science, machine learning, or software engineering • Minimum of a Bachelor's degree is required • ...

About The Team The Personalization data science team builds and maintains search algorithms and ... Alongthe way,we help every associate grow their career and achieve their best, at work and in their ...

Data Scientist- Associate

Dallas, TX · On-site

$58K - $58K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Master's degree from an accredited college or university in Computer Science, Data Science, Statistics, or a related quantitative discipline is preferred. Minimum of a Bachelor's degree is required.

As a Data Scientist Associate Senior within the Consumer and Community Banking in Workforce Planning (WFP) you will solve complex, data-intensive, and often unstructured business problems that ...

WFP Senior Data Scientist

Plano, TX · On-site

  • Medical

  • Retirement

As a Data Scientist Associate Senior within the Consumer and Community Banking in Workforce Planning (WFP) you will solve complex, data-intensive, and often unstructured business problems that ...

Data Scientist- Senior Associate

Dallas, TX · On-site

$58K - $58K/yr

They are seeking a Senior Associate Data Scientist to join their Audit Technology Alliance ... Required : • Minimum three years of recent experience in data science, machine learning ...

As a Data Scientist Associate Senior within the Consumer and Community Banking in Workforce Planning (WFP) you will solve complex, data-intensive, and often unstructured business problems that ...

WFP Senior Data Scientist

Plano, TX · On-site

  • Medical

  • Retirement

As a Data Scientist Associate Senior within the Consumer and Community Banking in Workforce Planning (WFP) you will solve complex, data-intensive, and often unstructured business problems that ...

Data Scientist

Richardson, TX · Hybrid

  • Medical

  • Dental

  • Vision

  • Retirement

Establish and leverage a network of associates with business domain and data expertise * Instill a business-oriented mindset that drives the data science & research agenda * Build and maintain a ...

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Data Science Associate information

See Fort Worth, TX salary details

$55.1K

$65.2K

$123.6K

How much do data science associate jobs pay per year?

As of Aug 15, 2026, the average yearly pay for data science associate in Fort Worth, TX is $65,208.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,500.00 and $57,000.00 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 Fort Worth, TX?

The most popular types of Data Science jobs in Fort Worth, TX are:

What are popular job titles related to Data Science Associate jobs in Fort Worth, TX?

For Data Science Associate jobs in Fort Worth, TX, the most frequently searched job titles are:

What job categories do people searching Data Science Associate jobs in Fort Worth, TX look for?

The top searched job categories for Data Science Associate jobs in Fort Worth, TX are:

What cities near Fort Worth, TX are hiring for Data Science Associate jobs?

Cities near Fort Worth, TX with the most Data Science Associate job openings:

Infographic showing various Data Science Associate job openings in Fort Worth, TX as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 10% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $65,208 per year, or $31.4 per hour.

Internal Audit, Asset Wealth Management - Senior Associate - Data Scientist

JPMorgan Chase & Co.

Plano, TX • On-site

$123K - $170K/yr

Full-time

Medical, Retirement

Posted 4 days ago


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


Join our dynamic Audit Analytics team, where you'll leverage advanced data science and analytics to shape the future of audit. You'll collaborate with talented colleagues and stakeholders, using innovative tools and techniques to deliver impactful solutions that enhance risk management and business value.
As an Audit Analytics & Data Science Associate within our Asset & Wealth Management Audit Team, you will deliver comprehensive analytics and data science solutions across the audit lifecycle. You'll partner with audit leads and stakeholders to translate objectives into actionable insights, engineer scalable solutions, and communicate findings that drive informed decision-making. Your work will help strengthen risk management and support continuous improvement in audit processes.
Job Responsibilities
  • Deliver end-to-end analytics and data science solutions across the audit lifecycle, from problem framing and requirements through data acquisition, analysis/modeling, visualization, and deployment using tools such as SQL, Python, Alteryx, Databricks, Tableau, Agentic Studio, Smart SDK, and related platforms
  • Translate audit objectives into clear analytic hypotheses and test designs, selecting appropriate methods to support risk-based audit scoping and execution
  • Partner closely with audit leads and stakeholders to shape and refine analytics and data science requirements, proactively managing relationships, expectations, and communications
  • Engineer repeatable, scalable analytics and data science solutions-including datasets, reusable code modules, workflows, dashboards, and templates-to improve efficiency and enable auditor self-service
  • Design and develop solutions for non-audit cycle activities, including continuous auditing, continuous monitoring, automated testing, advanced testing, and event/trigger-based analytics
  • Apply strong data management and governance practices to ensure analytics are reliable, auditable, and reproducible
  • Implement quality controls for analytic outputs, including validation checks, reasonableness testing, peer review, and clear documentation
  • Manage multiple concurrent deliverables by planning work, prioritizing effectively, and meeting timelines and budget expectations
  • Continuously evaluate and adopt new tools and techniques to improve team effectiveness and recommend process enhancements
  • Communicate insights clearly to varied audiences, tailoring messaging and visuals to drive understanding and action
  • Contribute to team knowledge-sharing by providing perspectives on analytics and data science value, and supporting enablement through guidance, demos, and training

Required Qualifications, Capabilities, and Skills
  • Bachelor's degree in Computer Science, Data Analytics, Data Science, Information Systems, Engineering, or a related discipline (or equivalent practical experience)
  • Minimum 3 years of experience in Audit, Data Analytics, Data Science, Risk/Controls, or a closely related role
  • Demonstrated experience working with large, complex datasets, performing data wrangling, validation, enrichment, and building analytics and data science solutions
  • Proven track record of building and delivering repeatable, production-ready data science and analytical solutions such as automated workflows, dashboards, anomaly detection, or model development
  • Strong understanding of data ecosystems, including databases, data warehouses/lakes, ETL/ELT patterns, and APIs/files, and how technology design influences risk, controls, and auditability
  • Working knowledge of technology and data risks/controls and the ability to apply this experience when designing solutions
  • Excellent written and verbal communication skills, with the ability to explain technical concepts to non-technical audiences and build partnerships
  • Strong critical thinking and structured problem-solving skills, able to frame ambiguous questions, test hypotheses, and identify practical solutions under time constraints
  • Ability to manage and deliver multiple concurrent tasks with attention to detail, effective prioritization, and follow-through against timelines
  • Working knowledge of data management principles such as data quality, lineage, metadata, governance, privacy/access considerations, and documentation practices that support reproducibility
  • Self-motivated and proactive, demonstrating accountability, sound judgment, and the ability to operate through ambiguity while maintaining high standards

Preferred Qualifications, Capabilities, and Skills
  • Experience with workflow enablement and agentic tooling, such as Agentic Studio, Smart SDK, or AI code assistance tools (Claude Code, GitHub Copilot)
  • Experience with cloud data platforms such as Databricks or Snowflake
  • Experience with visualization analytics tools such as Tableau or similar platforms

About Us
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
About the Team
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.

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