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Trainee Data Science Jobs (NOW HIRING)

Working closely with faculty investigators, trainees, and departmental leadership, this position ... Partner with departmental leadership, faculty investigators, Research Operations, Data Science, and ...

Data Architect Senior

Ann Arbor, MI · On-site

$65.75 - $88/hr

You will work with health-system data spanning radiology, digital pathology, intraoperative ... Collaborate with clinicians, scientists, trainees, and engineers, and contribute to manuscripts ...

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Trainee Data Science information

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$37.5K

$122.7K

$196.5K

How much do trainee data science jobs pay per year?

As of Aug 7, 2026, the average yearly pay for trainee data science in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 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.
More about Trainee Data Science jobs
What cities are hiring for Trainee Data Science jobs? Cities with the most Trainee Data Science job openings:
What are the most commonly searched types of Data Science jobs? The most popular types of Data Science jobs are:
What states have the most Trainee Data Science jobs? States with the most job openings for Trainee Data Science jobs include:
Infographic showing various Trainee Data Science job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Post Doctoral Fellow in Machine Learning and Data Science

Emory University

Flowery Branch, GA

$44K - $61K/yr

Full-time

Re-posted 11 days ago


Emory Healthcare rating

7.7

Company rating: 7.7 out of 10

Based on 217 frontline employees who took The Breakroom Quiz

161st of 887 rated healthcare providers


Job description

Emory University is a leading research university that fosters excellence and attracts world-class talent to innovate today and prepare leaders for the future. We welcome candidates who can contribute to the excellence of our academic community.


The Emory Sports Performance And Research Center (SPARC) is seeking a highly motivated postdoctoral fellow to conduct research in advanced prediction and optimization modeling.

An ideal candidate would use their foundational knowledge of various modeling methods to develop and apply cutting-edge machine learning and data analysis techniques for assessing and modifying injury risk and performance in professional sports based on a large array of multimodal data sources. As part of this fellowship, they will have the opportunity to engage with a community of world-renowned scientists in the field of machine learning, musculoskeletal modeling, and human physiology to further advance their skills and grow their network for future opportunities.

JOB DESCRIPTION:

  • Helps design and conduct research within a specified field while receiving advanced training from a designated Principal Investigator to enhance professional skills and research independence needed for pursuit of a career.
  • The specific area of research in which the trainee is mentored is determined by the department and laboratory of the Postdoc. Designs and evaluates experiments.
  • Develops new ideas that promote current research.
  • Prepares and publishes scientific manuscripts under the direction of the Principal Investigator.
  • May be responsible for operation of specific equipment. 
  • May teach techniques to others, train, and supervise research staff.
  • Positions are temporary appointments as a research trainee.
  • The initial appointment is for one year, renewal expected if progress is satisfactory and funds are available.
  •  Appointments cannot exceed five years.

MINIMUM QUALIFICATIONS:

  • A doctoral degree or equivalent (Ph.D., M.D., ScD., D.V.M., DDS etc) in an appropriate field.
  • Excellent scientific writing ability and strong oral communication skills.
  • The ability to work effectively and collegially with colleagues.
  • Additional qualifications as specified by the Principal Investigator.

PREFERRED MINIMUM QUALIFICATIONS:

  • A Ph.D. in Computer Science, Data Science, Economics, Engineering, or related field
  • Excellent scientific written and oral skills
  • Experience in developing state-of-the-art optimization and prediction models
  • Strong programming skills
  • Experience in organizing and handling large, multimodal data sets

PREFERRED QUALIFICATIONS:

  • Experience using AWS and other high performance computing platforms
  • Experience using Databricks, Snowflake, and/or similar data analytics platforms
  • Knowledge of human musculoskeletal anatomy
  • Experience developing human pose estimation and biomechanics models
  • Experience in musculoskeletal modeling/OpenSim and muscle optimization
  • Interest in improving health and performance outcomes in collegiate and professional sports

NOTE: Position tasks are required to be performed in-person at an Emory University location; working remote is not an option. Emory reserves the right to change this status with notice to employee.


Emory is an equal opportunity employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by state or federal law. Emory University does not discriminate in admissions, educational programs, or employment, including recruitment, hiring, promotions, transfers, discipline, terminations, wage and salary administration, benefits, and training. Students, faculty, and staff are assured of participation in university programs and in the use of facilities without such discrimination. Emory University complies with Section 503 of the Rehabilitation Act of 1973, the Vietnam Era Veteran's Readjustment Assistance Act, and applicable executive orders, federal and state regulations regarding nondiscrimination, equal opportunity, and affirmative action (for protected veterans and individuals with disabilities). Inquiries regarding this policy should be directed to the Emory University Department of Equity and Civil Rights Compliance, 201 Dowman Drive, Administration Building, Atlanta, GA 30322. Telephone: 404-727-9867 (V) | 404-712-2049 (TDD).
Emory University is committed to ensuring equal access and providing reasonable accommodations to qualified individuals with disabilities upon request. To request this document in an alternate format or to seek a reasonable accommodation, please contact the Department of Accessibility Services at accessibility@emory.edu or call 404-727-9877 (Voice) | 404-712-2049 (TDD). We kindly ask that requests be made at least seven business days in advance to allow adequate time for coordination.


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