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Data Science Manager Jobs in Florida (NOW HIRING)

UAB

MANAGER-DATA SCIENTIST - OPHTHALMOLOGY

Tampa, FL · On-site +1

$126K - $205K/yr

We are seeking a data science manager to assist us with developing and managing a large repository of electronic health record data of patients with ocular diseases. This position will use specific ...

Lennar

Sr Manager, Data Science

Miami, FL · On-site

Senior Manager, Data Science We are Lennar Lennar is one of the nation's leading homebuilders, dedicated to making an impact and creating an extraordinary experience for their Homeowners, Communities ...

Pwc

AIT - AI Data Scientist Manager

Tampa, FL · On-site

$99K - $297K/yr

Industry/Sector Not Applicable Specialism Data Science Management Level Manager & Summary The Opportunity As an AI Data Scientist Manager, you will play a pivotal role within our Data and Analytics ...

Varsity Tutors

Data Science Tutor

Doral, FL · Remote

$18 - $40/hr

Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

Varsity Tutors

Data Science Tutor

Miami Beach, FL · Remote

$18 - $40/hr

Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

Varsity Tutors

Data Science Tutor

Fort Pierce, FL · Remote

$18 - $40/hr

Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

Varsity Tutors

Data Science Tutor

Tallahassee, FL · Remote

$18 - $40/hr

Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

Varsity Tutors

Data Science Tutor

Sunrise, FL · Remote

$18 - $40/hr

Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

Varsity Tutors

Data Science Tutor

Miramar, FL · Remote

$18 - $40/hr

Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

Varsity Tutors

Data Science Tutor

Miami, FL · Remote

$18 - $40/hr

Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

Varsity Tutors

Data Science Tutor

Hialeah, FL · Remote

$18 - $40/hr

Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

Varsity Tutors

Data Science Tutor

Tampa, FL · Remote

$18 - $40/hr

Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

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Data Science Manager information

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$23.2K

$72.6K

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How much do data science manager jobs pay per year?

As of Jul 28, 2026, the average yearly pay for data science manager in Florida is $72,595.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,300.00 and $93,800.00 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 Florida? The most popular types of Data Science jobs in Florida are:
What are popular job titles related to Data Science Manager jobs in Florida? For Data Science Manager jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Data Science Manager jobs in Florida look for? The top searched job categories for Data Science Manager jobs in Florida are:
What cities in Florida are hiring for Data Science Manager jobs? Cities in Florida with the most Data Science Manager job openings:
Data Science Manager jobs near you
Infographic showing various Data Science Manager job openings in Florida as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $72,595 per year, or $34.9 per hour.

Marketing Analytics & Data Science Manager

RME MASTER

Tampa, FL • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 17 days ago

Job description

LeadingResponse helps clients in financial services, healthcare, legal, and senior living connect with high-intent consumers through data-driven, omnichannel marketing. Our consumer-facing campaigns reach millions each month through direct mail, live events, digital ads, and more.
The Marketing Analytics & Data Science Manager owns the insight, modeling, and activation layer that drives performance and efficiency across our media programs. This role blends traditional marketing analytics (reporting, dashboards, attribution) with applied data science (predictive modeling, segmentation, propensity scoring) and hands-on activation strategy across paid digital channels. The ideal candidate is equally comfortable building a Tableau or Power BI dashboard, training a lead-scoring model, and advising a media buyer on how to shift a Google Ads or Facebook budget based on what the data says.
This person will also partner closely with our Data Engineering team to ensure the underlying data infrastructure (AWS data lake, pipelines, feature stores) supports both reporting and model deployment needs.
This position will be based in Tampa, FL or Atlanta, GA.
What You'll Do:
  • Develop reporting requirements and documentation to support ongoing business intelligence needs.
  • Pull, clean, blend, and automate data from multiple sources (media platforms, CRM systems, call tracking, GA4, etc.) into Tableau and/or Power BI.
  • Build and maintain dashboards that clearly communicate performance trends, KPIs, and business impacts.
  • Ensure data quality, consistency, and reliability across reports and datasets.
  • Configure and maintain GA4 properties, conversions, audiences, event tagging, and reporting views.
  • Evaluate attribution methodologies and understand how performance indicators vary across channels.
  • Design, build, and validate predictive models supporting lead scoring, propensity to convert, churn/retention risk, and customer lifetime value.
  • Apply segmentation and clustering techniques to identify high-value audience segments for targeting and suppression.
  • Develop and maintain model monitoring processes to track performance drift and retraining needs.
  • Translate model outputs into practical scoring, targeting, or bidding logic that media teams can act on.
  • Partner with Data Engineering to productionize models, ensuring reliable data pipelines, feature availability, and refresh cadence.
  • Advise media specialists on how to apply analytics and model outputs directly within Google Ads and social channels like Facebook/Meta (audience targeting, bid strategy, lookalike/similar audience creation, budget allocation).
  • Measure and report on incremental lift from Google Ads and social channel campaigns (e.g., Facebook/Meta), using lift studies, holdout tests, and geo experiments to isolate true incremental impact from correlation.
  • Partner with digital marketing teams to design and execute test-and-learn strategies, including experiment setup, measurement plans, and performance readouts.
  • Recommend channel mix and budget shifts based on model-driven forecasts of efficiency, ROI, and measured lift.
  • Support the integration of first-party and modeled audience data into ad platform activation (Google Customer Match, Meta Custom Audiences, etc.).
  • Work with marketing and product teams to ensure accurate tracking alignment from click to lead to conversion.
  • Collaborate closely with Data Engineering on data architecture, pipeline reliability, and access to clean, model-ready datasets.
  • Collaborate across departments (Consumer Marketing, Sales, Client Services, Creative, IT) to ensure organizational alignment and effectiveness of marketing activities.
  • Communicate insights and model recommendations to media specialists responsible for day-to-day campaign management.
  • Translate complex data and model output into simple, compelling stories for non-technical audiences.
  • May provide leadership or mentoring to analysts (role can grow into people management).
  • Present insights to internal teams and occasionally external clients.

What We're Looking For:
  • Bachelor's degree in Marketing, Data Science, Statistics, Analytics, Computer Science, or related field; advanced degree a plus.
  • 6-10+ years of experience in marketing analytics, data science, or media performance analysis, with demonstrated experience building and deploying predictive models.
  • Hands-on experience building dashboards in Tableau and/or Power BI.
  • Proven experience developing models such as lead scoring, propensity models, CLV, or segmentation/clustering (Python or R).
  • Strong understanding of paid digital channels (Google Ads, Facebook/Meta, LinkedIn), including how to measure lift and activate data/models within those platforms.
  • Experience working with GA4 (property setup, event structure, reporting views).
  • Advanced proficiency in SQL for querying and modeling datasets; Excel proficiency expected.
  • Experience partnering with Data Engineering teams on pipeline design, data quality, and model deployment.
  • Familiarity with Snowflake, BigQuery, Databricks, or other cloud data warehouses/lakes.
  • Experience with lead generation funnels and CRM data (Salesforce, HubSpot, etc.).
  • Experience in high-volume digital performance environments focused on ROI and CAC efficiency.
  • Ability to translate performance trends and model outputs into actionable strategies for media teams.
  • Clear communicator with strong presentation skills.

Benefits You'll Receive:
  • Be part of a dynamic, growth-focused company transforming consumer acquisition through innovation
  • Gain valuable experience managing paid and organic programs, plus applied data science in production
  • Collaborate with a high-performing, cross-functional marketing and data engineering team
  • Enjoy a flexible work schedule and opportunities for professional growth
  • Creative, fast-paced work environment
  • Competitive base salary
  • Two weeks paid vacation during the first full year
  • Fitness reimbursement
  • Referral bonus program
  • Health/Dental/Vision/HSA/FSA coverage available 1st of the month following your hire date
  • 401(k) with company match
  • Paid holidays

For additional information about LeadingResponse, please visit www.leadingresponse.com. Equal Opportunity Employer, Drug free employer and workplace.

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