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

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Data Science information

See Boca Raton, FL salary details

$35.6K

$116.5K

$186.5K

How much do data science jobs pay per year?

As of Jun 29, 2026, the average yearly pay for data science 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 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.

Is 40 too late for data science?

Data science is a field open to individuals of all ages, and many professionals transition into it later in their careers. Success often depends on acquiring relevant skills such as programming, statistics, and machine learning, which can be learned through online courses, bootcamps, or degrees regardless of age.

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.

Is AI replacing data scientists?

AI is transforming the role of data scientists by automating routine tasks such as data cleaning and basic analysis, but it does not replace the need for skilled professionals to interpret complex data, develop models, and make strategic decisions. Data scientists with expertise in programming, statistical analysis, and machine learning remain essential for designing and deploying AI solutions effectively.

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 jobs are there in data science?

Data science offers a variety of roles including Data Scientist, Data Analyst, Machine Learning Engineer, Data Engineer, and Business Intelligence Analyst. These positions typically require skills in programming, statistics, and data visualization tools, and may involve working with large datasets, predictive modeling, and data-driven decision making.

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.

What jobs does a data scientist do?

A data scientist analyzes large datasets to extract insights, build predictive models, and support decision-making. They use programming languages like Python or R, employ statistical techniques, and often work with machine learning algorithms to solve complex problems across various industries.
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:
Infographic showing various Data Science job openings in Boca Raton, FL as of June 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, 1% Temporary, and 1% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $116,475 per year, or $56 per hour.
Senior Data Scientist, Responsible AI (WEST PALM BEACH)

Senior Data Scientist, Responsible AI (WEST PALM BEACH)

Empower

West Palm Beach, FL • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Job description

Our vision for the future is based on the idea that transforming financial lives starts by giving our people the freedom to transform their own. We have a flexible work environment, and fluid career paths. We not only encourage but celebrate internal mobility. We also recognize the importance of purpose, well-being, and work-life balance. Within Empower and our communities, we work hard to create a welcoming and inclusive environment, and our associates dedicate thousands of hours to volunteering for causes that matter most to them.

Chart your own path and grow your career while helping more customers achieve financial freedom. Empower Yourself.

***Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa at this time, including CPT/OPT.***

The Senior Data Scientist of Responsible AI serves as a senior individual contributor within Empower’s Responsible AI (RAI) team. This role embeds directly with multiple AI delivery teams as a matrixed partner, ensuring AI and GenAI systems are measurable, transparent, safe, and aligned with Responsible AI principles. The position focuses on evaluation methodology, model behavior analysis, and operationalizing Responsible AI practices in collaboration with engineering, QA, security, and governance partners.

What you will do:
  • Lead evaluation and validation of AI and GenAI systems, including assessment of hallucination, fairness, robustness, explainability, and other model behavior risks.
  • Design and implement repeatable evaluation workflows, benchmark datasets, and structured model behavior tests.
  • Serve as the Responsible AI data science partner for assigned AI delivery teams, guiding the integration of RAI metrics, guardrails, and evaluation practices.
  • Translate research findings and experimental methods into scalable, platform-ready evaluation capabilities.
  • Collaborate with AI/ML engineers and QA analysts to align evaluation logic with testing pipelines and deployment workflows.
  • Support the creation of model cards, evaluation documentation, and transparency artifacts required for governance and review.
  • Provide Responsible AI consultation to product, engineering, risk, legal, and governance stakeholders.
  • Mentor junior and mid-level data scientists on evaluation design, experimental rigor, and Responsible AI practices.
What you will bring:
  • Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related field, or equivalent experience.
  • 6+ years of professional data science experience.
  • Demonstrated experience developing or evaluating AI/ML systems in production or pre-production environments.
  • Strong grounding in experimental design, statistical analysis, and model evaluation methodology.
  • Experience collaborating with engineering and product teams in an agile, iterative delivery environment.
  • Proficiency in Python and SQL for data analysis and evaluation workflows.
    Experience working with modern cloud platforms such as AWS.
  • Strong communication skills and ability to operate effectively in a matrixed team model.
Technology Environment
  • Cloud platforms such as AWS, including managed data and ML services.
  • Data storage and retrieval technologies such as relational and NoSQL databases.
  • Data analysis and visualization tools such as Python libraries, QuickSight, Tableau, or Power BI.
  • Collaboration and delivery tools supporting agile development and cross-functional workflows.
Security and Risk Awareness
  • Contribute to Responsible AI and security-by-design practices by ensuring evaluation methods consider safety, misuse, and model risk.
  • Partner with engineering, security, and governance teams to identify, document, and mitigate AI-related risks surfaced through evaluation activities.
  • Support evolving security and risk requirements as they relate to AI system behavior, testing, and governance reviews.
What Will Set You Apart
  • Experience evaluating Generative AI or LLM-based systems.
  • Hands-on work with explainability, fairness analysis, hallucination detection, or robustness testing techniques.
  • Familiarity with Responsible AI principles, governance frameworks, or model documentation practices.
  • Experience translating research or experimental methods into repeatable, production-aligned workflows.

This job description is not intended to be an exhaustive list of all duties, responsibilities and qualifications of the job.  The employer has the right to revise this job description at any time.   You will be evaluated in part based on your performance of the responsibilities and/or tasks listed in this job description.   You may be required perform other duties that are not included on this job description.  The job description is not a contract for employment, and either you or the employer may terminate employment at any time, for any reason.

#PJT

What we offer you

We offer an array of diverse and inclusive benefits regardless of where you are in your career. We believe that providing our employees with the means to lead healthy balanced lives results in the best possible work performance.

  • Medical, dental, vision and life insurance
  • Retirement savings – 401(k) plan with generous company matching contributions (up to 6%), financial advisory services, potential company discretionary contribution, and a broad investment lineup
  • Tuition reimbursement up to $5,250/year
  • Business-casual environment that includes the option to wear jeans
  • Generous paid time off upon hire – including a paid time off program plus ten paid company holidays and three floating holidays each calendar year
  • Paid volunteer time — 16 hours per calendar year
  • Leave of absence programs – including paid parental leave, paid short- and long-term disability, and Family and Medical Leave (FMLA)
  • Business Resource Groups (BRGs) –  BRGs facilitate inclusion and collaboration across our business internally and throughout the communities where we live, work and play. BRGs are open to all.

Base Salary Range

$105,700.00 - $149,275.00

The salary range above shows the typical minimum to maximum base salary range for this position in the location listed. Non-sales positions have the opportunity to participate in a bonus program. Sales positions are eligible for sales incentives, and in some instances a bonus plan, whereby total compensation may far exceed base salary depending on individual performance. Actual compensation offered may vary from posted hiring range based upon geographic location, work experience, education, licensure requirements and/or skill level and will be finalized at the time of offer.

Equal opportunity employer •  Drug-free workplace

We are an equal opportunity employer with a commitment to diversity.  All individuals, regardless of personal characteristics, are encouraged to apply.  All qualified applicants will receive consideration for employment without regard to age (40 and over), race, color, national origin, ancestry, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, religion, physical or mental disability, military or veteran status, genetic information, or any other status protected by applicable state or local law. 

***For remote and hybrid positions you will be required to provide reliable high-speed internet with a wired connection as well as a place in your home to work with limited disruption. You must have reliable connectivity from an internet service provider that is fiber, cable or DSL internet. Other necessary computer equipment, will be provided. You may be required to work in the office if you do not have an adequate home work environment and the required internet connection.***

Job Posting End Date at 12:01 am on:

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Workplace Flexibility: Remote - Nationwide