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Data Scientist Trainee Jobs in Boca Raton, FL (NOW HIRING)

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As a Pest Control Technician Trainee, you'll be at the forefront of protecting public health and ... science-based solutions, data-driven insights and world-class service to advance food safety ...

Data Scientist Trainee information

See Boca Raton, FL salary details

$35.6K

$116.5K

$186.5K

How much do data scientist trainee jobs pay per year?

As of Jul 20, 2026, the average yearly pay for data scientist trainee in Boca Raton, FL is $116,475.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,500.00 and $129,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Data Scientist Trainee position, and why are they important?

To thrive as a Data Scientist Trainee, you need a solid understanding of statistics, data analysis, and programming (preferably in Python or R), often supported by a degree in a quantitative field. Familiarity with tools like SQL, Jupyter notebooks, data visualization libraries, and entry-level certifications such as IBM Data Science Professional Certificate can be highly beneficial. Attention to detail, problem-solving ability, and a willingness to learn and collaborate help distinguish strong candidates in this role. These qualifications and competencies enable trainees to effectively support data projects, extract meaningful insights, and smoothly develop into more advanced data science positions.

Is 40 too late for data science?

The Data Scientist Trainee role is accessible to individuals of various ages, and starting a career in data science at 40 is possible. Success depends on acquiring relevant skills such as programming, statistics, and tools like Python or R, as well as building a strong portfolio and gaining practical experience.

What is a Data Scientist Trainee job?

A Data Scientist Trainee is an entry-level role designed for individuals looking to gain hands-on experience in data science. Trainees typically work under the guidance of senior data scientists, assisting with data collection, cleaning, analysis, and model development. They may use programming languages like Python or R, as well as tools like SQL and machine learning frameworks. This role helps build foundational knowledge in data science principles, statistical analysis, and data visualization. It is ideal for recent graduates or career switchers who want to develop practical skills before transitioning into a full-time data science role.

What is a data scientist trainee?

A data scientist trainee is an entry-level position or program designed to train individuals in data analysis, statistical modeling, and machine learning techniques. Trainees typically learn to use tools like Python, R, and SQL while gaining practical experience in data-driven decision-making under supervision.

What are some typical projects or responsibilities for a Data Scientist Trainee?

As a Data Scientist Trainee, you will often assist with cleaning and organizing large datasets, performing exploratory data analysis, and developing basic predictive models under the guidance of more experienced team members. You may also help create data visualizations, build dashboards, or automate simple data processing tasks. Collaboration is key, as you’ll regularly work with senior data scientists, business analysts, and sometimes cross-functional teams to support ongoing projects and learn industry best practices. This role provides a valuable hands-on foundation, helping you build the technical and analytical skills necessary for future advancement in the field.

How to get a job as a data scientist with no experience?

To secure a data scientist trainee position with no experience, focus on building foundational skills in programming languages like Python or R, and learn data analysis and visualization tools such as SQL and Tableau. Completing relevant online courses, earning certifications, and working on personal or open-source projects can demonstrate your abilities to employers. Internships or entry-level roles can also provide practical experience and help you develop industry connections.

Is 30 too late for data science?

Age is not a barrier to becoming a data scientist trainee; many professionals successfully transition into data science later in life. Building relevant skills such as programming, statistics, and machine learning, along with certifications or projects, can help you enter the field regardless of age.
What are the most commonly searched types of Data Scientist jobs in Boca Raton, FL? The most popular types of Data Scientist jobs in Boca Raton, FL are:
What are popular job titles related to Data Scientist Trainee jobs in Boca Raton, FL? For Data Scientist Trainee jobs in Boca Raton, FL, the most frequently searched job titles are:
What job categories do people searching Data Scientist Trainee jobs in Boca Raton, FL look for? The top searched job categories for Data Scientist Trainee jobs in Boca Raton, FL are:
What cities near Boca Raton, FL are hiring for Data Scientist Trainee jobs? Cities near Boca Raton, FL with the most Data Scientist Trainee job openings:
Biostatistician/Data Scientist

Biostatistician/Data Scientist

Florida Atlantic University

Boca Raton, FL • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago


Florida Atlantic University rating

6.6

Company rating: 6.6 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

448th of 555 rated colleges and universities


Job description

Apply now to join FAU on its race to excellence.

For more information on everything FAU has to offer, please visit www.fau.edu/jobs.

Note: Current FAU employees must apply as an internal applicant by logging into their existing Workday employee account.

Position Summary:

The College of Medicine at Florida Atlantic University is seeking a Biostatistician/Data Scientist in Boca Raton, FL.

This role supports the Department of Population Health's community-engaged research portfolio by collaborating with faculty and communities to support data analysis, supervision of data staff, analysis planning and implementation in biostatistics, epidemiology, and data science, and consultation and collaboration with faculty and trainees around statistical implementation.

This position offers the opportunity to contribute to high-impact biomedical, translational, clinical, social-behavioral, and public health research that has direct impact on health, across a diverse portfolio of studies while working closely with investigators, statisticians, programmers, and interdisciplinary collaborators.

This role is ideal for candidates who are intellectually curious, sincerely collaborative, detail-oriented, and eager to grow their expertise in modern statistical methods within a dynamic academic medical and health science research environment.

Summary of Responsibilities:

  • Prepare and format datasets for analysis across a variety of biomedical, translational, clinical, social-behavioral, and population health research projects.

  • Maintain and curate project databases in collaboration with team members.

  • Develop statistical analysis plans (SAP) and independently perform statistical analyses at all levels.

  • Write codes (e.g., R, SAS) to design analytic datasets, validate outputs, identify errors, and ensure data integrity.

  • Perform advanced programming tasks such as data transposition and macro development.

  • Learn and apply new statistical methodologies as project needs evolve.

  • Document analytic processes and generate clear summaries of findings for investigators and collaborators. Present results in written and verbal formats to a variety of audiences and collaborators.

  • Contribute to manuscript and grant development, including drafting statistical methods sections with guidance from senior statisticians. Contribute to authoring statistical and methods sections of grants and publications.

  • Participate in project meetings, provide analytic insight, and help identify next steps for ongoing work.

  • Collaborate effectively with programmers, statisticians, and investigators to ensure accurate and unbiased interpretation of results.

  • Develop project timelines, forecast analytic effort, and manage responsibilities across multiple concurrent studies.

  • Ensure compliance with institutional standards, statistical best practices, and sponsor guidelines for data sharing (e.g., NIH).

  • Handle confidential research data with the highest level of professionalism and security.

  • Develop and manage study tools and workflows (e.g., recruitment plans, participant tracking, field protocols, interview/focus group guides, survey distribution plans).

  • Support onboarding and coordination of students/trainees on projects (as assigned), including task supervision and training on project protocols.

  • Maintain accurate project records and ensure compliance with sponsor requirements (progress reporting, documentation, record retention, data sharing).

FAU Benefits and Perks

If Benefits & Perks are important to you, then FAU is the place to be! Working at FAU has itsperks! In addition to helping drive change and having a positive impact by supporting our students, staff, and faculty, FAU offers:

  • Excellent benefit packages including Medical (PPO/HMO $50 per month single & $180 per month family), Dental, Vision, Life Insurance, Flexible Spending plans, Employee Assistance Program (EAP) and much more.

  • State retirement options including tax-deferred annuities and Roth 403(b) plans.

  • State employeesPublic Service Loan Forgiveness (PSLF)program.

  • Sick Leave Pool Program.

  • Paid time off (eligible employees) including vacation and sick leave, 1 personal day, 9 paid holidays, and paid winter break (atPresident'sdiscretion).

  • Paid Community Engagement Volunteer Service Day

  • Employee Educational Scholarship Program (EESP) for eligible Staff/Faculty - Tuitionassistanceafter 6 months of full-time employment. For in-unit faculty, the EESP program may be extended to spouses and dependent children (eligibility rules apply).

For details on FAU's amazing offers visit us athttps://www.fau.edu/hr/benefits/index.php

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Minimum Qualifications:

Master's degree from an accredited institution in an appropriate area of specialization; or a bachelor's degree from an accredited institution in an appropriate area of specialization and two years of appropriate experience required.
Areas of specialization: biostatistics, epidemiology, bioinformatics, computational biology or a related quantitative field.
Demonstrated experience conducting complex analyses in biostatistics, epidemiology, and data science required.
Strong project management skills, including coordinating multiple priorities, meeting deadlines, and documenting progress required.
Excellent interpersonal and communication skills, with the ability to build trust with various community stakeholders required.
Proficiency with standard office and collaboration tools (e.g., Microsoft Office, Teams/Zoom, shared file systems) required.
Experience with compliance regulations including IACUC, IRB, and biosafety protocols required.
Preferred Qualifications:
Working knowledge of research ethics and human subjects protections; experience supporting IRB processes.

Salary:

$60,000 - $70,000 annually.

College or Department:

COM: Population Health

Location:

Boca Raton

Work Days and Hours:

Monday - Friday, 8 a.m. - 5 p.m.

Application Deadline:

2026-07-15

Special Instructions to Applicant:

This recruitment has been reopened; all previous applicants are still under consideration and need not reapply. This position may close without prior notice.
This is a research or research-related support position. As required by Florida Statutes Section 1010.35, a Foreign Influence Screening may be required.
APPLICATION DOCUMENTS REQUIRED:
Resume
Cover letter
OFFICIAL SEALED TRANSCRIPTS REQUIRED:
Final candidate will be required to have official, sealed transcripts and original NACES evaluation, if applicable, sent from their educational institution to Human Resources prior to the start of employment.
PRE-EMPLOYMENT SCREENINGS REQUIRED:
Selected candidates must successfully complete and pass all employment screenings prior to the start of employment. Employment screenings may include a criminal background check (level I and level II), motor vehicle check, credit check, reference checks, alcohol, and drug screening check.
REQUEST FOR ACCOMMODATIONS:
Individuals with disabilities requiring accommodations may contact the Office of Civil Rights and Title IX at 561-297-3004 or send an email at accommodate@fau.edu. To contact Human Resources, please call 561-297-3057. For communication assistance call 7-1-1.

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