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

Actalent

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Dallas, TX · On-site

$195K/yr

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Trainee Data Science information

See Dallas, TX salary details

$37.1K

$121.4K

$194.4K

How much do trainee data science jobs pay per year?

As of Aug 8, 2026, the average yearly pay for trainee data science in Dallas, TX is $121,417.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,400.00 and $134,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a trainee data scientist, and why are they important?

To thrive as a Trainee Data Scientist, you need a foundational understanding of statistics, programming (often Python or R), and data analysis, usually supported by a relevant degree or coursework in mathematics, computer science, or engineering. Familiarity with data visualization tools (such as Tableau or Power BI), machine learning libraries (like scikit-learn or TensorFlow), and basic database systems is often expected. Strong problem-solving skills, curiosity, and effective communication help you interpret data insights and collaborate with team members. These skills are crucial for extracting actionable insights from data and contributing meaningfully to data-driven projects.

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

AspectTrainee Data ScienceData Analyst
Required CredentialsBasic degree in related field, entry-level certificationsDegree in statistics, mathematics, or related field, often with certifications
Work EnvironmentInternship or entry-level role in tech or finance companiesBusiness, finance, marketing departments across industries
Employer & Industry UsageStart of data career path, training-focused rolesData-driven decision making, reporting, and analysis

In summary, a Trainee Data Science role is an entry-level position focused on learning and developing skills in data science, often as part of an internship or training program. A Data Analyst typically has more experience in analyzing data, creating reports, and supporting business decisions. Both roles are essential in data-driven industries but differ mainly in experience level and scope of responsibilities.

What does a trainee data scientist do?

A Trainee Data Scientist assists in gathering, cleaning, and analyzing data to support business decisions. They work under the guidance of senior data scientists to learn about data modeling, statistical analysis, and using tools such as Python, R, or SQL. Their responsibilities often include preparing reports, visualizing data, and contributing to the development of predictive models. The goal is to build foundational skills and gain hands-on experience in the field of data science.

What are some common challenges faced by trainee data scientists during their initial projects, and how can they overcome them?

Trainee Data Scientists often encounter challenges such as working with messy or incomplete datasets, understanding complex business problems, and selecting the appropriate modeling techniques. Collaborating closely with experienced team members and seeking feedback can help trainees navigate these obstacles. Additionally, actively participating in code reviews and knowledge-sharing sessions accelerates learning and builds confidence in tackling real-world data science tasks.
What are the most commonly searched types of Data Science jobs in Dallas, TX? The most popular types of Data Science jobs in Dallas, TX are:
What are popular job titles related to Trainee Data Science jobs in Dallas, TX? For Trainee Data Science jobs in Dallas, TX, the most frequently searched job titles are:
What job categories do people searching Trainee Data Science jobs in Dallas, TX look for? The top searched job categories for Trainee Data Science jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Trainee Data Science jobs? Cities near Dallas, TX with the most Trainee Data Science job openings:
Trainee Data Science jobs near you
Infographic showing various Trainee Data Science job openings in Dallas, TX as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $121,417 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 13 days ago

UT Southwestern rating

7.9

Company rating: 7.9 out of 10

Based on 152 frontline employees who took The Breakroom Quiz

108th 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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