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

MAQ Software

Software Data Operations Engineer

Plano, TX · On-site

$110K - $132K/yr

Required : • Undergraduate or graduate degree in Computer Science • Undergraduate or graduate degree in Information Systems • Undergraduate or graduate degree in Applied Computational Math ...

Tata Consultancy Service Limited

Project Manager

Plano, TX · On-site

$110K - $130K/yr

One of the following Data Engineering Areas: Datawarehouse or Business Intelligence or Big Data or ... AWS/Azure 2) Computer Science Graduate (Bachelor/Master)4) Experience in programming in earlier ...

Varsity Tutors

College Political Science Tutor

Plano, TX · Remote

$18 - $40/hr

... graduate study. * Conceptual Teaching & Problem-Solving: Skilled at breaking down political ... data, and constructing evidence-based political arguments. Emphasizes critical analysis of ...

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

Data Science Graduate information

See Dallas, TX salary details

$37.1K

$121.5K

$194.5K

How much do data science graduate jobs pay per year?

As of Aug 7, 2026, the average yearly pay for data science graduate in Dallas, TX is $121,508.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,500.00 and $134,600.00 per year, depending on experience, location, and employer.

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 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 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 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, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $121,508 per year, or $58.4 per hour.

Faculty, Biodata Engineering [Req#: 712559, Position#: 119012]

UT Southwestern Medical Center

Dallas, TX • On-site

Full-time

Re-posted 11 days ago

UT Southwestern rating

7.9

Company rating: 7.9 out of 10

Based on 152 frontline employees who took The Breakroom Quiz

109th of 887 rated healthcare providers

Job description

Description
The Department of Biomedical Engineering (BME) at the University of Texas Southwestern Medical Center (UTSW) in Dallas, TX invites applications for a full-time tenured/tenure track faculty position at the Assistant or Associate Professor level. We seek applications from individuals with research focus on biodata engineering, artificial intelligence (AI), machine learning (ML), data science and data curation for medical applications. Highly qualified senior postdoctoral fellows with outstanding publications and extramural research funding may be eligible for UTSW's prestigious Endowed Scholars program and are strongly encouraged to apply.
We are especially interested in candidates who will provide inspirational leadership in research and initiate collaborative opportunities across the medical center. BME faculty work closely with clinical and basic research faculty in the highly collaborative UTSW Medical Center environment translating new technologies into medical solutions. All faculty members are expected to be enthusiastic mentors to trainees and actively engage in the teaching mission of the department.
Responsibilities
Successful candidates will develop an innovative research program that integrates medical data (imaging, diagnostics, pathology, omics, and related data sets) to predict, monitor and improve human health. The department is particularly interested in the application of AI/ML to functional neuroimaging, biomedical imaging speech and text, and mining clinical data. Candidates with research focus on system data science will work closely with biomedical engineers to establish a program on biodata engineering.
This research focused position will include responsibility for teaching graduate students and mentoring trainees. Specific focus areas of research are open but may include application of artificial intelligence, machine learning and data science.
About the Department of Biomedical Engineering
The UTSW Department of Biomedical Engineering is one of the few placed solely within a medical center, with no undergraduate program. We aim to drive programmatic integration in biomedical engineering and address emerging clinical and scientific challenges in medicine and biology using innovative technologies. Anchored by outstanding faculty, motivated trainees and exceptional clinical and engineering infrastructure the department strives to create innovative systems and methods that will play an active role in transforming the current disease care system into a genuine health care enterprise.
Qualifications
The ideal candidate will have earned a Ph.D., an M.D. or an equivalent degree in Biomedical Engineering or a related field (preferably a degree in Computer Science or Computer Engineering). A demonstrated potential for innovations in biomedical engineering and data technology is desirable. Highly competitive applicants will have education and/or experience in one or more of the following:
  • Biomedical engineering, software engineering, computer science, or related field.
  • Track record of scholarly research.
  • Familiarity with extramural funding, impactful publications, and excellent technical writing skills.

Application Instructions
Applicants should apply online and upload:
  • A curriculum vitae
  • A cover letter
  • A 2-page summary of research accomplishments and future plans
  • A one paragraph description of their three most significant publications (or preprints) that include a link or hyperlink to the publication.
  • Names and contact information (e-mail and telephone) of three references

Applications submitted before December 15, 2025 will receive full consideration, with a targeted start date of June 1, 2026.

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