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

Bachelor's and Master's degree in a quantitative discipline (Data Science/Analytics, Mathematics, Statistics, Physics, Engineering, Economics, Finance or related fields) * 5+ years of experience in ...

Headquartered in Amelia, Ohio, and with associates located across the United States, we are part of ... Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on ...

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 ...

Execution of data science initiatives, including design, development, and implementation ... Associate benefits are designed to encourage personal wellness and smart healthcare decisions for ...

Execution of data science initiatives, including design, development, and implementation ... Associate benefits are designed to encourage personal wellness and smart healthcare decisions for ...

This role requires associates to be in-office 1-2 days per week, fostering collaboration and ... Developing and maintaining data science models, detection analytics, and behavioral algorithms for ...

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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 Sep 6, 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.

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.

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 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 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 advance into more specialized roles.

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, 81% Full Time, 15% Part Time, 2% Contract, and 1% Nights. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $65,208 per year, or $31.4 per hour.

Data Scientist-Senior Associate

JPMorgan Chase & Co.

Plano, TX • On-site

$110 - $150/hr

Other

Re-posted 17 days ago


JPMorgan Chase & Co. rating

7.9

Company rating: 7.9 out of 10

Based on 500 frontline employees who took The Breakroom Quiz

78th of 175 rated banks


Job description

Drive the future of data-driven decision making-join us to transform raw information into actionable insights that power business innovation.

As a Data Scientist on the Business Banking Data & Analytics (D&A) Client Analytics Team, You'll support Business Banking Strategy by delivering data-driven insights that inform strategic decision-making across the business. You will leverage your analytical expertise to support high-visibility projects and contribute to the development of materials for senior leaders (including external investors). If you're a quick learner with a growth mindset that wants to use data science to help shape the strategy for one of the largest businesses at Chase, this could be the role for you.

Job Responsibilities

  • Collaborate with Business Banking senior stakeholders to identify key business challenges and opportunities, and develop data-driven solutions to address them.
  • Apply statistical methods and data analysis to solve business problems, under guidance from senior team members.
  • Support all project phases, from requirements gathering and analysis to delivering insights to senior leaders.
  • Navigate large amounts of data from multiple sources, utilizing Python and SQL for data processing and analysis, while ensuring accuracy.
  • Work cross-functionally with other departments/SMEs to ensure data quality and methodologies are applicable and accurate.
  • Maintain data integrity and security, complying with all relevant regulations and protocols.
  • Actively participate in learning and development opportunities, staying abreast of current trends and best practices in data science, and applying newfound knowledge to enhance job performance and project outcomes.

Required qualifications, capabilities, and skills

  • Completion of Bachelor's / Graduate degree in a quantitative field (Computer Science, Engineering, Operations Research, etc.) plus 4+ years of experience producing advanced analytics work with an emphasis in optimization.
  • Proficiency inPythonandSQL, along with hands-on experience using statistical software packages and data tools, includingSnowflakeandDatabricks.
  • Demonstrated command of advanced statistical methods and concepts, including predictive modeling, time series forecasting, and text mining.
  • Experience with data mining and visualization, includingTableau.
  • Effective storytelling and communication skills, with the ability to translate complex concepts into digestible insights for audiences across levels; able to influence stakeholders, articulate value hypotheses, and secure sponsorship.
  • Commitment to iterative development, including a proven ability to engage and update stakeholders bi-weekly (or as needed) to ensure alignment, incorporate feedback, and maintain transparency throughout the project lifecycle.
  • Experience presenting to senior leaders and stakeholders.

Preferred qualifications, capabilities, and skills

  • Experience in Financial Services, Consulting, or working with strategy teams is a plus.
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