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Data Science Associate Jobs in Addison, TX (NOW HIRING)

Data Scientist - Sr Associate

Plano, TX ยท On-site

$100 - $140/hr

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 ...

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 ...

Data Scientist - Sr Associate

Plano, TX ยท On-site

$109K - $165K/yr

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 ...

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 ...

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

Showing results 41-60

Data Science Associate information

See Addison, TX salary details

$55.7K

$65.9K

$124.9K

How much do data science associate jobs pay per year?

As of Sep 4, 2026, the average yearly pay for data science associate in Addison, TX is $65,865.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,100.00 and $57,600.00 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 Addison, TX?

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

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

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

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

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

Infographic showing various Data Science Associate job openings in Addison, TX as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $65,865 per year, or $31.7 per hour.

Data Scientist - Sr Associate

Fairygodboss

Plano, TX โ€ข On-site

$100 - $140/hr

Other

Medical, Retirement

Posted 9 days ago


Job description

We're driven by curiosity, passion, optimism, and the belief that everybody can grow.

Job Responsibilities
  • Partner with Product Owners, Data Scientists, Analysts, and Tech Leads to identify and secure data required for personalization product capabilities and advanced analytics outcomes, including customer insights and enhanced offer engagement.
  • Develop analyst friendly data products that provide easily accessible business insights
  • Deep dive into data with strong desire to understand \"why\" and drive increased business value by collaborating with cross-functional teams through descriptive, diagnostic, and inferential analyses to uncover trends, patterns, and actionable business insights.
  • Manage the personalization data roadmap, overseeing backlog, requirements, and prioritization to ensure effective delivery of strategic objectives.
  • Lead discovery efforts for new initiatives, determining and refining business and customer value propositions.
  • Work closely with technology partners to evaluate technical feasibility and data availability for new projects
  • Refine and prioritize user stories to align with consumer experience requirements and business goals.
Required qualifications, capabilities, and skills
  • 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 applying statistical methods to real world problems
  • Strong experience with SQL including merging data from various sources
  • Experience with visualization techniques for data analysis and presentation
  • Experience with web analytics tools (Google Analytics, Adobe/Omniture Insight/Visual Sciences, Webtrends, CoreMetrics, etc.)
  • Superior written, oral communication and presentation skills with experience communicating concisely and effectively with all levels of management and partners
Preferred qualifications, capabilities, and skills
  • Marketing, Originations, and or Sales analytics experience preferred.
  • Knowledge of data governance and compliance standards
ABOUT US

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.

  • comprehensive health care coverage
  • on-site health and wellness centers
  • a retirement savings plan
  • backup childcare
  • tuition reimbursement
  • mental health support
  • financial coaching

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

ABOUT THE TEAM

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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