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

Paychex

Data Solutions Engineer

West Palm Beach, FL

$98K - $160K/yr

Paychex is reimagining how businesses manage their workforce by bringing payroll, HR, benefits, and ... Work with architects, operations teams, and data scientists to define data requirements and ...

Paychex

Data Solutions Engineer

West Palm Beach, FL · On-site +1

$91K - $156K/yr

Paychex is reimagining how businesses manage their workforce by bringing payroll, HR, benefits, and ... Work with architects, operations teams, and data scientists to define data requirements and ...

The GEO Group

DATA INTELLIGENCE INTERN

Boca Raton, FL · On-site

$20/hr

From the development of state-of-the-art facilities and the provision of management services and ... Currently pursuing a degree in Data Analytics, Data Science, or a Technology related field.

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All JobsData Science JobsData Science Manager JobsData Science Manager Jobs in Boca Raton, FL

Data Science Manager information

See Boca Raton, FL salary details

$29.3K

$91.9K

$162.7K

How much do data science manager jobs pay per year?

As of Jul 14, 2026, the average yearly pay for data science manager in Boca Raton, FL is $91,910.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,400.00 and $118,700.00 per year, depending on experience, location, and employer.

What are the primary responsibilities of a Data Science Manager on a day-to-day basis?

As a Data Science Manager, your daily responsibilities typically include overseeing a team of data scientists and analysts, setting project priorities, and ensuring the timely delivery of data-driven solutions. You will often collaborate with cross-functional teams, such as engineering, product, and business stakeholders, to define problems, scope solutions, and communicate analytical insights. Your role also involves mentoring team members, reviewing code and analysis, and driving best practices in data science methodologies. This position requires balancing technical project oversight with team leadership and strategic business alignment.

What is a Data Science Manager job?

A Data Science Manager leads a team of data scientists to develop and implement data-driven solutions for business challenges. They oversee project timelines, ensure the quality of data analysis, and collaborate with cross-functional teams to drive decision-making. In addition to technical expertise, they require strong leadership, communication, and strategic thinking skills. Their role bridges the gap between data science initiatives and business objectives, ensuring the team's work aligns with company goals.

Is 40 too late for data science?

Age is not a barrier to becoming a data science manager; many professionals transition into data science roles later in their careers. Success depends on relevant skills, experience, and continuous learning in areas like programming, statistics, and machine learning. Employers value diverse backgrounds and practical expertise regardless of age.

What is the 80 20 rule in data science?

The 80/20 rule in data science suggests that roughly 80% of results come from 20% of the efforts or data. Data scientists often use this principle to focus on the most impactful features, models, or data subsets to improve efficiency and outcomes in projects.

What is the role of a data science manager?

A data science manager oversees data science teams, guiding project priorities, setting strategic goals, and ensuring the effective use of data analysis and modeling techniques. They coordinate between technical staff and business stakeholders, often requiring skills in leadership, communication, and familiarity with tools like Python, R, or SQL. Their responsibilities include managing workflows, mentoring team members, and ensuring project deliverables align with organizational objectives.

How much do data scientist managers make?

Data Science Managers typically earn between $110,000 and $160,000 annually, with salaries varying based on experience, location, and company size. They often oversee teams of data scientists, coordinate projects, and require strong skills in analytics tools and leadership. Senior roles or those in high-cost areas can offer higher compensation.

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

To thrive as a Data Science Manager, you need strong analytical skills, experience in machine learning and data analytics, and a background in statistics or computer science, often supported by an advanced degree. Familiarity with tools like Python, R, SQL, cloud platforms, and experience managing data science projects are highly valued, and certifications such as Certified Analytics Professional (CAP) can be advantageous. Excellent leadership, project management, and communication skills are crucial for guiding teams and translating technical findings for stakeholders. These abilities ensure effective team performance, successful project delivery, and the alignment of data science initiatives with organizational goals.

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 job categories do people searching Data Science Manager jobs in Boca Raton, FL look for? The top searched job categories for Data Science Manager jobs in Boca Raton, FL are:
What cities near Boca Raton, FL are hiring for Data Science Manager jobs? Cities near Boca Raton, FL with the most Data Science Manager job openings:
Data Science Manager jobs near you
Infographic showing various Data Science Manager job openings in Boca Raton, FL as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $91,910 per year, or $44.2 per hour.
DATA INTELLIGENCE INTERN

DATA INTELLIGENCE INTERN

The GEO Group

Boca Raton, FL

$20/hr

Full-time

Posted 14 days ago

The GEO Group rating

6.9

Company rating: 6.9 out of 10

Based on 51 frontline employees who took The Breakroom Quiz

17th of 41 rated prisons

Job description

Overview

Are you looking for a career you can feel good about? We hire only those that strive to do their best. By joining our family, you'll receive the honor and recognition that comes with working for the industry's global leader in evidenced based rehabilitation.

Who We Are:

GEO provides complementary, turnkey solutions for numerous government partners worldwide across a spectrum of diversified correctional and community reentry services. From the development of state-of-the-art facilities and the provision of management services and evidence-based rehabilitation to the post-release reintegration and supervision of individuals in the community, GEO offers fully diversified, cost-effective services that deliver enhanced quality and improved outcomes.

Why Work for GEO:

  • We believe that work is more than a place you go to every day. It is about being inspired and motivated to achieve extraordinary things.
  • Employee benefits play an important role in making The GEO Group a great place to work. At GEO, we believe in the three pillars of employee wellbeing: physical, emotional, and financial. With comprehensive benefits and competitive wages, we trust that you will find all the resources you need here to be successful.

Responsibilities

Summary:
The Data Intelligence Intern will support the Division of Analytics, Intelligence, and Reporting by assisting with data analysis, business intelligence, automation, and reporting initiatives. This role provides firsthand exposure to data intelligence, analytics, artificial intelligence, and operational reporting while supporting Data Intelligence Analysts, Data Scientists, and other team members in the development and maintenance of data driven solutions. This position is designed to provide practical experience in analytics, intelligence, reporting, and emerging technologies while developing professional skills in a collaborative environment.

Primary Duties and Responsibilities:

  • The Data Intelligence Intern assists with data collection, validation, and quality assurance activities to support reporting and analytics initiatives.
  • Supports the preparation, maintenance, and distribution of reports, dashboards, and other business intelligence deliverables.
  • The Data Intelligence Intern assists with documenting business processes, data flows, and reporting requirements.
  • Learns and supports business intelligence, reporting, and analytics platforms utilized by the Division.
  • Conducts research on industry trends, emerging technologies, data analytics methodologies, and automation opportunities.
  • Assists with process improvement initiatives by identifying and documenting manual workflows and supporting automation efforts.
  • Supports testing, validation, and troubleshooting activities related to reports, dashboards, and data intelligence solutions.
  • Maintains project documentation, knowledge repositories, and other departmental resources.
  • Participates in meetings, training sessions, and collaborative planning activities to gain practical experience in analytics, intelligence, and reporting functions.
  • Provides administrative and operational support to Data Intelligence Analysts, Data Scientists, and division leadership as needed.
  • Assists with special projects and other duties as assigned.

Qualifications

Minimum Requirements:

  • United States citizenship required.
  • Must live in the U.S. 3 of the last 5 years (military and study abroad included).
  • Currently pursuing a degree in Data Analytics, Data Science, or a Technology related field.
  • Experience with (or willingness to learn) software such as MSSQL, Power BI, Tableau, Azure DevOps, AWS Sagemaker and Redshift, Microsoft 365 suite.
  • Strong proficiency in SQL, Python, and PowerShell programming languages.
  • Preferred experience with debugging and development in R, HTML and Bash.
  • Preferred familiarity with data mining, statistical analysis, data visualization, machine learning concepts, or predictive analytics.
  • Excellent written and verbal communication skills.
  • Strong attention to detail and organizational skills.
  • Ability to multitask and manage time effectively.
  • Positive attitude, eagerness to learn, and willingness to take initiative.

The GEO Group, Inc

What The GEO Group employees say

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