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Trainee Data Science Jobs in California (NOW HIRING)

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Trainee Data Science information

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$37K

$121.1K

$193.9K

How much do trainee data science jobs pay per year?

As of Aug 6, 2026, the average yearly pay for trainee data science in California is $121,131.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,200.00 and $134,200.00 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 California? The most popular types of Data Science jobs in California are:
What are popular job titles related to Trainee Data Science jobs in California? For Trainee Data Science jobs in California, the most frequently searched job titles are:
What job categories do people searching Trainee Data Science jobs in California look for? The top searched job categories for Trainee Data Science jobs in California are:
What cities in California are hiring for Trainee Data Science jobs? Cities in California with the most Trainee Data Science job openings:
Trainee Data Science jobs near you
Infographic showing various Trainee Data Science job openings in California as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 21% Part Time, 2% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $121,131 per year, or $58.2 per hour.

Postdoctoral Scholar Research Associate

University of Southern California

Los Angeles, CA

$54K - $77K/yr

Full-time

Re-posted 3 days ago

University Of Southern California rating

8.4

Company rating: 8.4 out of 10

Based on 53 frontline employees who took The Breakroom Quiz

95th of 615 rated colleges and universities

Job description

Postdoctoral Scholar - Research Associate

Keck School of Medicine

Biochemistry and Molecular Medicine

There is an exciting new opportunity at the University of Southern California for highly motivated candidates committed to developing a career in genomics, epigenomics, or bioinformatics. The Postdoctoral Scholar - Research Associate will analyze in-house generated sequencing datasets and integrate multi-dimensional large-scale omics datasets available (dry lab). The trainee is expected to lead multiple research projects under the direction of the Principal Investigator and s/he will be a part of the collaborative research team at USC.Due to the collaborative, multi-lab nature of this project, it is essential that the applicant have excellent organizational and communication skills. The postdoctoral trainees will be encouraged to submit their own fellowship and grant applications during their period of training.

Responsibilities and Duties

  • Installing and maintaining existing open-source software
  • Building computational infrastructure and systems to support the software
  • Writing novel scripts to analyze next-generation sequencing datasets
  • Developing web-based applications and tools to facilitate data analysis
  • Preparing presentations and publishing scientific manuscripts under the direction of the Principal Investigator
  • Responsible for teaching other lab members

Preferred Qualifications

  • Possess a PhD or be close to the completion of a PhD or DPhil in Computational Biology, Bioinformatics, Computer Science, or Data Science in a relevant field (e.g. Biology with strong quantitative training in bioinformatics)
  • Background and work knowledge in scientific computing, algorithms, and machine learning or statistics is required
  • Familiarity with R or Python, and the Unix (Linux) environment is required
  • Skills in other programming languages (e.g. perl or java) is a plus
  • Experience in analyzing and annotating large omics data sets, both in exploratory and pipelined fashions is a plus

To Apply

  • Send a CV to Dr. Rhie (rhie@usc.edu), from the Department of Biochemistry and Molecular Medicine and the Genomic and Epigenomic Regulation Program in the USC/Norris Comprehensive Cancer Center.
  • Complete the Workday application
Minimum education: Ph.D. or equivalent doctorate within previous three years
Minimum experience: 0-1 year
Minimum field of expertise: Directly related education in research specialization with advanced knowledge of equipment, procedures and analysis methods.
The annual base salary range for this position is $54,080.00 - $77,687.00. When extending an offer of employment, the University of Southern California considers factors such as (but not limited to) the scope and responsibilities of the position, the candidate's work experience, education/training, key skills, internal peer equity, federal, state, and local laws, contractual stipulations, grant funding, as well as external market and organizational considerations.

USC is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other characteristic protected by law or USC policy. USC observes affirmative action obligations consistent with state and federal law. USC will consider for employment all qualified applicants with criminal records in a manner consistent with applicable laws and regulations, including the Los Angeles County Fair Chance Ordinance for employers and the Fair Chance Initiative for Hiring Ordinance, and with due consideration for patient and student safety. Please refer to theBackground Screening Policy Appendix Dfor specific employment screen implications for the position for which you are applying.

We provide reasonable accommodations to applicants and employees with disabilities. Applicants with questions about access or requiring a reasonable accommodation for any part of the application or hiring process should contact USC Human Resources by phone at (213) 821-8100, or by email atuschr@usc.edu. Inquiries will be treated as confidential to the extent permitted by law.

  • Notice of Non-discrimination
  • Employment Equity
  • Read USC's Clery Act Annual Security Report
  • USC is a smoke-free environment
  • Digital Accessibility

If you are a current USC employee, please apply to this  USC job posting in Workday by copying and pasting this link into your browser:

https://wd5.myworkday.com/usc/d/inst/1$9925/9925$122730.htmld

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About University of Southern California

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The University of Southern California (USC) is not a conventional company, but a private research university established in the heart of Los Angeles, CA, US. Founded in 1880, it's one of the oldest private research universities in California. USC operates in the education industry providing primary services of higher education, research, and community development. This prestigious institution offers a comprehensive array of undergraduate, graduate, and professional programs across various disciplines, including the humanities, social sciences, and STEM (Science, Technology, Engineering, and Mathematics). The University is guided by its commitment to foster creativity, innovation, leadership, and discovery through academic excellence.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Los Angeles , CA, US

Year founded

1880

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