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Data Science Graduate Jobs in Dallas, TX (NOW HIRING)

Trinity Industries

Data Analytics Intern

Dallas, TX · On-site

Master's or PhD candidate or recent graduate in Data Science, Machine Learning, Computer Science, Applied Math, Statistics, Operations Research, or similar quantitative field. * Demonstrable ...

TrinityRail

Data Analytics Intern

Dallas, TX · On-site

Master's or PhD candidate or recent graduate in Data Science, Machine Learning, Computer Science, Applied Math, Statistics, Operations Research, or similar quantitative field. * Demonstrable ...

Husch Blackwell Llp

Data Engineering Manager

Dallas, TX · On-site +1

The Data Science & AI and Information Design & Engineering teams at Husch Blackwell build systems ... graduate degree preferred. * At least 3-5 years of experience leading data engineering or closely ...

Husch Blackwell LLP

Data Engineering Manager

Dallas, TX · On-site +1

The Data Science & AI and Information Design & Engineering teams at Husch Blackwell build systems ... graduate degree preferred. * At least 3-5 years of experience leading data engineering or closely ...

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All JobsData Science Graduate JobsData Science Graduate Jobs in Dallas, TX

Data Science Graduate information

See Dallas, TX salary details

$37.3K

$121.9K

$195.2K

How much do data science graduate jobs pay per year?

As of Sep 4, 2026, the average yearly pay for data science graduate in Dallas, TX is $121,934.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,900.00 and $135,100.00 per year, depending on experience, location, and employer.

What is a data science graduate?

Data Science Graduates are individuals who have recently completed a degree or certification program in data science or a related field. They possess foundational knowledge in statistics, programming, and data analysis, and are equipped to apply these skills in real-world scenarios. These graduates are typically proficient in tools such as Python, R, SQL, and data visualization platforms, and are prepared for entry-level roles in data analytics, machine learning, or business intelligence. Their education often includes hands-on projects and internships to build practical experience. Data Science Graduates are in high demand across industries that rely on data-driven decision making.

What does a data science graduate do?

As a Data Science Graduate, you can expect to work on a variety of projects such as data cleaning, exploratory data analysis, and building predictive models under the guidance of senior team members. Typical responsibilities include preparing datasets, validating model outputs, and presenting findings to both technical and non-technical stakeholders. You’ll often collaborate with data engineers, software developers, and business analysts to ensure your solutions align with organizational goals. This early-career role is a great opportunity to learn industry-standard tools, gain mentorship, and build a portfolio of impactful projects.

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

To thrive as a Data Science Graduate, you need strong analytical skills, a solid understanding of statistics, and proficiency in programming languages like Python or R, typically backed by a relevant degree. Familiarity with data visualization tools (e.g., Tableau), machine learning frameworks (e.g., scikit-learn, TensorFlow), and database management systems (e.g., SQL) is highly valuable. Strong communication, problem-solving, and adaptability help you convey insights and collaborate effectively with diverse stakeholders. These skills enable you to extract meaningful information from data, drive informed decisions, and add value to organizations in a data-driven world.

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

AspectData Science GraduateData Analyst
Required CredentialsDegree in Data Science, Computer Science, or related fieldDegree in Statistics, Mathematics, or related field
Work EnvironmentInternships, entry-level roles in tech or finance companiesBusiness, marketing, or finance departments across industries
Employer & Industry UsageTech firms, startups, research institutionsCorporations, consulting firms, government agencies
Common Search & ComparisonYesYes

Data Science Graduates typically focus on building models, machine learning, and advanced analytics, often requiring programming skills and a strong foundation in data science concepts. Data Analysts primarily interpret data, generate reports, and support decision-making with statistical tools. While both roles analyze data, Data Science Graduates usually work on more complex modeling tasks, whereas Data Analysts focus on data interpretation and visualization.

What are popular job titles related to Data Science Graduate jobs in Dallas, TX?

For Data Science Graduate jobs in Dallas, TX, the most frequently searched job titles are:

What job categories do people searching Data Science Graduate jobs in Dallas, TX look for?

The top searched job categories for Data Science Graduate jobs in Dallas, TX are:

What cities near Dallas, TX are hiring for Data Science Graduate jobs?

Cities near Dallas, TX with the most Data Science Graduate job openings:

Data Science Graduate jobs near you
Infographic showing various Data Science Graduate job openings in Dallas, TX as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $121,934 per year, or $58.6 per hour.

Data Scientist-Senior Associate

JPMorgan Chase & Co.

Plano, TX • On-site

Full-time

Medical, Retirement

Re-posted 15 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

77th of 174 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 in Python and SQL, along with hands-on experience using statistical software packages and data tools, including Snowflake and Databricks.
  • Demonstrated command of advanced statistical methods and concepts, including predictive modeling, time series forecasting, and text mining.
  • Experience with data mining and visualization, including Tableau.
  • 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.

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.
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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