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Data Science Jobs in Boca Raton, FL (NOW HIRING)

BrightStar Credit Union

Jr. Data Analyst

Hollywood, FL · On-site

$62K - $75K/yr

Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related field. * Proficiency in Microsoft Excel and experience with data visualization tools such as ...

Octagon Talent

Business Analyst

Fort Lauderdale, FL

Octagon Talent Solutions is seeking a qualified Business and Data Analyst who possesses a strong blend of data science expertise and business insight. This role offers a unique opportunity to join a ...

ITRADE STEM

Business Analyst

Fort Lauderdale, FL · On-site

We are seeking a qualified Business and Data Analyst who possesses a strong blend of data science expertise and business insight. This role offers a unique opportunity to join a forward-thinking ...

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All JobsData Science JobsData Science Jobs in Boca Raton, FL

Data Science information

See Boca Raton, FL salary details

$35.5K

$116.1K

$185.9K

How much do data science jobs pay per year?

As of Jun 9, 2026, the average yearly pay for data science 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 are the key skills and qualifications needed to thrive as a Data Scientist, and why are they important?

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

What is data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

What Does a Data Scientist Do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.
More about Data Science jobs
What are the most commonly searched types of Data Science jobs in Boca Raton, FL? The most popular types of Data Science jobs in Boca Raton, FL are:
What are popular job titles related to Data Science jobs in Boca Raton, FL? For Data Science jobs in Boca Raton, FL, the most frequently searched job titles are:
What job categories do people searching Data Science jobs in Boca Raton, FL look for? The top searched job categories for Data Science jobs in Boca Raton, FL are:
What cities near Boca Raton, FL are hiring for Data Science jobs? Cities near Boca Raton, FL with the most Data Science job openings:
Data Science jobs near you
Infographic showing various Data Science job openings in Boca Raton, FL as of May 2026, with employment types broken down into 100% Full Time. Highlights an 75% In-person, and 25% Remote job distribution, with an average salary of $116,124 per year, or $55.8 per hour.
Senior Data Scientist- CECL Modeler

Senior Data Scientist- CECL Modeler

JM Family Enterprises

Deerfield Beach, FL • On-site

Full-time

Posted 28 days ago

JM Family Enterprises rating

9.3

Company rating: 9.3 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

1st of 142 rated car dealerships

Job description

The Senior Data Scientist- CECL Modeler will work in the Analytics Department of Southeast Toyota Finance (SETF), a division of JM Family Enterprises, and will lead the development, validation, and implementation of account-level CECL models and frameworks.
This individual will need to have a strong background in credit risk modeling using panel data and an understanding of CECL accounting standards. This role requires cross-functional collaboration with partner teams such as Finance, Accounting to ensure accurate estimation of credit losses.
Responsibilities:
  • Lead the development and implementation of account-level CECL models- Probability of Default, Exposure at Default, Loss Given Default, Prepay curves or models, and other related forward-looking credit risk models.
  • Develop and maintain Development documentation, code, and implementation documents in compliance with best practices and standards.
  • Perform back testing and benchmarking exercises to ensure model accuracy and robustness.
  • Conduct assessments for overlays and maintain accurate documentation in accordance with best practices and standards.
  • Analyze large datasets in a panel framework with the ability to perform sampling, exploratory analysis, outlier analysis, standardization, data transformation, segmentation analysis, statistical tests on stationarity,and other methods commonly used in CECL modeling exercises.
  • Effectively communicate complex technical concepts to stakeholders.
  • Work on end-to-end modeling processes, including data procurement, model estimation, implementation and deployment, and monitoring and testing.
  • Provide insights from the models and modeling exercises to support business risk management and strategies.
  • Provide comprehensive portfolio tracking, analysis, reporting, and forecasting. Provide detailed explanatory analysis and make recommendations to senior management; Proactively identifying risks and opportunities based on current trends and future outlooks.
  • Develop and/or enhance advanced reporting solutions: portfolio reporting, portfolio stability reports, and model monitoring.
  • Collaborate with cross-functional teams, including accounting, finance, treasury, and other company stakeholders. Mentor junior team members.

Qualifications:
  • A Master's or Ph.D degree in statistics, data science, operations research, mathematics, and/or other quantitative analysis is required
  • 5+ years of financial, credit risk, and analytics resource management; indirect automotive lending experience and/or consumer lending preferred.
  • Minimum of 5 years of statistical modeling and/or quantitative analysis experience
  • Experience in using Python, SAS, R, or any comparable statistical or data extraction software is preferred.
  • Experience managing advanced modeling projects and collaborating well with other team members.
  • Strong interpersonal and communication skills (verbal and written)
  • Ability to diplomatically communicate findings across departments and to upper management.
  • Ability to effectively operate with multiple priorities and changing directives. Self-motivated with the ability to anticipate department needs, discern work priorities, and meet deadlines.
  • Forward thinker who actively seeks opportunities and proposes solutions.
  • Must be a highly detailed process-driven individual who demonstrates success at building trust and influence while driving for results with and through people.

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This job description may not be inclusive of all assigned duties, responsibilities, or aspects of the job described, and may be amended at any time at the sole discretion of JM Family. All work arrangements are subject to associate performance, business need and manager discretion, and may be revised as necessary.
JM FAMILY IS PROUD TO BE AN EQUAL OPPORTUNITY EMPLOYER
JM Family Enterprises, Inc. is an Equal Employment Opportunity employer. We are committed to recruiting, hiring, retaining, and promoting qualified associates without regard to age, race, religion, color, gender, sex (including pregnancy, childbirth and related medical conditions), sexual orientation, gender identity, gender expression, mental or physical disability, national origin, marital status, citizenship, military status, genetic information, veteran status, or any other characteristic protected by federal, state, provincial, or local law.
DISABILITY ACCOMMODATIONS
If you have a disability and require a reasonable accommodation to complete the job application process, please contact JM Family's Talent Acquisition department at talentacquisition@jmfamily.com for assistance. If you have an accommodation request for one of our recruiting events, please notify us at least 72 hours prior so that we may provide assistance.

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