ZipRecruiter

Log In

1

Trainee Data Science Jobs in Texas (NOW HIRING)

Houston Methodist

Provide senior leadership in research methods, study design, data science, analytics, and ... trainees, fostering academic development and research independence. Collaborate with internal ...

US Neuro LLC

IONM Technician Trainee

Victoria, TX

No prior neurodiagnostic experience is required-just a strong work ethic, a scientific mindset, and ... Observe and support neurophysiological data collection during surgeries * Participate in structured ...

New

Current Openings

IONM Technician Trainee

Victoria, TX · On-site

No prior neurodiagnostic experience is required--just a strong work ethic, a scientific mindset ... Observe and support neurophysiological data collection during surgeries * Participate in structured ...

New

next page

Showing results 1-20

All JobsData Science JobsTrainee Data Science JobsTrainee Data Science Jobs in Texas

Trainee Data Science information

See Texas salary details

$34.9K

$114.3K

$183.1K

How much do trainee data science jobs pay per year?

As of Jul 30, 2026, the average yearly pay for trainee data science in Texas is $114,350.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,800.00 and $126,700.00 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 Texas? The most popular types of Data Science jobs in Texas are:
What are popular job titles related to Trainee Data Science jobs in Texas? For Trainee Data Science jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Trainee Data Science jobs in Texas look for? The top searched job categories for Trainee Data Science jobs in Texas are:
What cities in Texas are hiring for Trainee Data Science jobs? Cities in Texas with the most Trainee Data Science job openings:
Trainee Data Science jobs near you
Infographic showing various Trainee Data Science job openings in Texas as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $114,350 per year, or $55 per hour.

Assistant Professor - Data Science (Trauma, Critical Care, and Healthcare Disparities Research)

Baylor College of Medicine

Houston, TX • On-site

Full-time

Re-posted 27 days ago

Baylor College of Medicine rating

8.6

Company rating: 8.6 out of 10

Based on 23 frontline employees who took The Breakroom Quiz

67th of 613 rated colleges and universities

Job description

Assistant Professor - Data Science (Trauma, Critical Care, and Healthcare Disparities Research)
Division: Surgery
Work Arrangement:
Location: Houston, TX
Salary Range:
FLSA Status: Exempt
Work Schedule:
Baylor College of Medicine and Department of Surgery
Baylor (www.bcm.edu) is recognized as one of the nation's premier academic health science centers and is known for excellence in education, research, and healthcare and community service. Located in the heart of the world's largest medical center (Texas Medical Center), Baylor is affiliated with multiple educational, healthcare and research affiliates (Baylor Affiliates).
The Michael E. DeBakey Department of Surgery at Baylor College of Medicine and Harris Health Ben Taub Hospital are seeking an early-career PhD investigator at the rank of assistant professor or above who has training in data science that is applicable to trauma, surgical critical care, and/or health care disparities research. The investigator will provide data analysis and have a major role in the development and implementation of advanced analytic tools in a multidisciplinary team to design, develop, and create analytical solutions through applications of data mining, machine learning, artificial intelligence (AI), and emerging technologies. The investigator will join our growing Surgical Health Services Research Academy for Research and Education (SHARE) and will have access to surgical data from Baylor St. Luke's Medical Center and Harris Health Ben Taub Hospital. The investigator may have a joint appointment in the Michael E. DeBakey Department of Surgery at Baylor College of Medicine and The Baker Institute at Rice University.
Summary
The investigator will be is responsible for evaluating data quality, preparing data, generating insights, and developing and presenting high-impact data stories for quality improvement and other research projects using surgical data to improve trauma and critical care quality at Harris Health Ben Taub; collaborating with faculty and residents to disseminate these findings through intramural and extramural research efforts; developing grant proposals; and mentoring trainees.
Job Duties
  • Build and test statistical, optimization, and machine learning models, including regression, classification, clustering, natural language processing, deep learning, and/or statistical modeling using surgical data.
  • Develop algorithms and predictive models to solve critical business problems in trauma and surgical critical care.
  • Provide statistical and advanced analytics expertise to develop plans for surgical care projects.
  • Work with surgical faculty and residents and other collaborators on data preparation, feature engineering, and model development choices to organize and deliver high quality care, prevent errors in the delivery of acute trauma and surgical care and implement safer and more efficient trauma and critical surgical care.
  • Contribute to health policy related to the implementation science of enhanced trauma and surgical critical care in partnership with the Baker Institute at Rice University.

Minimum Qualifications
Required Education and Experience:
  • Ph.D. in mathematics, computer science, statistics, engineering, or analytics is required in addition to 2 years of healthcare industry experience.
  • Successful track record of collaboration with clinical investigators and in interdisciplinary teams.
  • Successful track record of training students and postdoctoral fellows
  • Accomplished academic record sufficient to fulfill criteria for an assistant professor level faculty appointment at Baylor College of Medicine.

Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer.
Requisition ID: 25331

What Baylor College of Medicine employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply