1

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

QDStaff is a leading talent source for award-winning video game companies, and they are seeking an experienced Data Scientist to join a fast-growing game development company in Boca Raton, Florida.

AI Scientist

West Palm Beach, FL ยท On-site

$100 - $140/hr

Location West Palm Beach, FL The Role We are seeking an exceptionally talented AI Scientist to join the Artificial Intelligence team at WorldQuant. The successful candidate will: * Conduct research ...

Sr Data Engineer

Plantation, FL ยท On-site

$109K - $131K/yr

... data scientists, product managers, and business stakeholders-to define requirements, drive ... junior and mid-level engineers, contributing to team growth and engineering excellence.

Sr Data Engineer

Plantation, FL ยท Remote

$109K - $131K/yr

... data scientists, product managers, and business stakeholders--to define requirements, drive ... junior and mid-level engineers, contributing to team growth and engineering excellence.

Showing results 21-40

Junior Data Scientist information

See Boca Raton, FL salary details

$35.5K

$116.1K

$185.9K

How much do junior data scientist jobs pay per year?

As of Aug 22, 2026, the average yearly pay for junior data scientist in Boca Raton, FL is $116,124.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,200.00 and $128,700.00 per year, depending on experience, location, and employer.

What is a junior data scientist?

Junior Data Scientists are entry-level professionals who assist in analyzing and interpreting complex data to help organizations make informed decisions. They are typically responsible for tasks such as data cleaning, exploratory data analysis, creating basic models, and supporting senior data scientists. Junior Data Scientists often work with tools like Python, R, SQL, and data visualization libraries. They collaborate with other team members to translate business problems into analytical solutions and continuously develop their technical and analytical skills.

What skills and qualifications are needed to thrive as a junior data scientist?

A Junior Data Scientist needs a solid understanding of statistics, data analysis, and programming languages such as Python or R, typically supported by a degree in mathematics, computer science, or a related field. Familiarity with data visualization tools (like Tableau), machine learning libraries (such as scikit-learn), and database systems (SQL) is highly valuable. Strong problem-solving abilities, curiosity, and effective communication skills help distinguish individuals in this role. These competencies are essential for extracting insights from data, collaborating with teams, and driving data-informed decision-making.

What types of projects does a junior data scientist typically work on, and how do they contribute to larger team goals?

Junior Data Scientists often work on data cleaning, exploratory data analysis, and supporting the development and testing of machine learning models. They usually collaborate with senior data scientists and data engineers, contributing by preparing datasets, running analyses, and creating visualizations to help inform business decisions. This role offers valuable exposure to real-world data challenges and provides opportunities to learn best practices in data science, paving the way for advancement to more complex modeling and project leadership as experience grows.

What is the difference between Junior Data Scientist vs Data Analyst?

AspectJunior Data ScientistData Analyst
Required CredentialsBachelor's degree in Data Science, Statistics, or related field; some roles prefer certifications in data analysis or programmingBachelor's degree in Statistics, Mathematics, or related field; certifications like Microsoft Excel or Tableau are common
Work EnvironmentCollaborates with data scientists and engineers; involved in building models and advanced analyticsFocuses on data cleaning, visualization, and reporting; often works with business teams
Employer & Industry UsageTech companies, finance, healthcare, and e-commerceRetail, marketing, finance, and consulting firms

Junior Data Scientists and Data Analysts often share educational backgrounds and work in data-driven industries. However, Junior Data Scientists typically engage in more complex modeling and machine learning tasks, while Data Analysts focus on data visualization and reporting. Both roles are essential for data teams but differ in technical depth and responsibilities.

How do I become a junior data scientist?

To become a junior data scientist, you typically need a bachelor's degree in a related field such as computer science, statistics, or mathematics. Gaining skills in programming languages like Python or R, understanding data analysis, and familiarity with tools like SQL and machine learning frameworks are essential. Internships or entry-level projects can also help build practical experience.

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 Junior Data Scientist jobs in Boca Raton, FL?

For Junior Data Scientist jobs in Boca Raton, FL, the most frequently searched job titles are:

What job categories do people searching Junior Data Scientist jobs in Boca Raton, FL look for?

The top searched job categories for Junior Data Scientist jobs in Boca Raton, FL are:

What cities near Boca Raton, FL are hiring for Junior Data Scientist jobs?

Cities near Boca Raton, FL with the most Junior Data Scientist job openings:

Infographic showing various Junior Data Scientist job openings in Boca Raton, FL as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $116,124 per year, or $55.8 per hour.

Data Scientist (Research & Evaluation)

AJAIA

Fort Lauderdale, FL โ€ข On-site

Full-time

Re-posted 22 days ago


Job description

Role Overview
LaunchEd is an innovation platform that helps education companies prove the real-world impact of their products through independent research and evidence-based validation. We partner with promising edtech companies, evaluate their effectiveness, and use those insights to support investment, growth, and go-to-market decisions.
As the Data Scientist (Research & Evaluation), you'll build and deliver the research behind those decisions. You'll design studies, analyze quantitative data, measure product efficacy and return on investment (ROI), and produce clear, defensible findings that help determine whether products are creating meaningful outcomes for schools, educators, and students.
This role is ideal for someone who enjoys statistical analysis, research design, and using data to answer important business and educational questions.
Key Responsibilities
Efficacy & ROI Evaluation
โ€ข Baseline statistical benchmarks at intake and track them throughout program participation, from
intake to graduation.
โ€ข Design and run studies measuring product impact on student and operational outcomes.
โ€ข Quantify return on investment for companies and products across the LaunchEd portfolio.
โ€ข Produce independent, evidence-based evaluations that hold up to outside scrutiny.
โ€ข Produce efficacy and ROI reports on LaunchEd clients that are benchmarked against comparable
external data.
โ€ข Collaborate with higher-education and university partners to pursue university-sanctioned
research.
The LaunchEd Validation Score
โ€ข Develop and maintain the LaunchEd Validation Score as a core piece of platform IP.
โ€ข Establish a consistent, defensible methodology that can serve as a credible market standard for
edtech validation.
โ€ข Translate study findings into the standardized LaunchEd Validation Report.
In-House Study Capacity
โ€ข Deliver multiple efficacy and ROI studies per year as a repeatable in-house capability.
โ€ข Reduce reliance on external efficacy and validation vendors.
Cross-Department Support
โ€ข Provide research and analysis support across LaunchEd teams, including network grading and
accreditation.
โ€ข Partner with the deal team to feed validated outcomes into Gate 2 reviews and Investment
Committee decisions.
Requirements
โ€ข Strong quantitative and statistical analysis skills, with the ability to design and run studies
independently.
โ€ข Experience measuring efficacy, outcomes, or return on investment, ideally in education or a
related field.
โ€ข Ability to build clear, defensible methodologies and translate data into decision-ready findings.
โ€ข Familiarity with education data, student outcomes, and relevant compliance considerations such
as FERPA and COPPA is a plus.
โ€ข Proficiency with data analysis tools such as Excel, SQL, and Python or R, and clear data
visualization.
โ€ข Detail orientation, independence, and discretion handling confidential company and student data.
โ€ข Alignment with LaunchEd's mission and the Strong Minds, Good Hearts ethos.
Benefits
  • Competitive base salary + performance incentives
  • Professional development opportunities