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Economics Data Science Jobs in Florida (NOW HIRING)

University of Florida

Data Scientist IV

Gainesville, FL · On-site

$98K - $110K/yr

... and economists, and authoring technical reports. Strong communication skills and a proven track record in data science are essential. Research Development: Leverage expertise in healthcare ...

University of Florida

Data Scientist IV

Gainesville, FL · On-site

$98K - $110K/yr

... and economists, and authoring technical reports. Strong communication skills and a proven track record in data science are essential. Research Development: Leverage expertise in healthcare ...

AllSTEM Connections

Data Scientist

Orlando, FL · On-site

In this role, you will bridge the gap between theoretical data science and real-world operational execution, utilizing machine learning, mathematical optimization, and econometric methods to solve ...

AllSTEM Connections

Data Scientist

Orlando, FL · On-site

$107K/yr

In this role, you will bridge the gap between theoretical data science and real-world operational execution, utilizing machine learning, mathematical optimization, and econometric methods to solve ...

Munich Re

Data Scientist

Fort Lauderdale, FL · On-site +1

Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on ... Science, or Statistics/Math and Economics double major, or Statistics/Math and Computer Science ...

Munich Re

Data Scientist

Jacksonville, FL · On-site +1

Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on ... Science, or Statistics/Math and Economics double major, or Statistics/Math and Computer Science ...

Versant Media

Sr. Data Analyst

Orlando, FL

$80K - $101K/yr

Bachelor's degree is required in Business Analytics, Computer Information Systems, Industrial Engineering, Statistics, Mathematics, Economics, Data Science, or a related field * 1+ years of ...

Versant Limited

Sr. Data Analyst

Orlando, FL

$80K - $101K/yr

Bachelor's degree is required in Business Analytics, Computer Information Systems, Industrial Engineering, Statistics, Mathematics, Economics, Data Science, or a related field * 1+ years of ...

Socket.dev

Data Scientist III- Operations

Clearwater, FL · On-site

$120 - $170/hr

Bachelor's degree in a quantitative field such as Data Science, Statistics, Operations Research, Industrial Engineering, Applied Mathematics, Physics, Computer Science, Engineering, Economics, or a ...

Deloitte

Lead AI and Data Science Engineer II

Miami, FL · On-site

$98K - $129K/yr

... Economics, Anthropology, or another quantitative discipline * 6+ years of experience in data ... Lead AI and Data Science Engineer II Drive the design and delivery of advanced analytics ...

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All JobsEconomics Data Science JobsEconomics Data Science Jobs in Florida

Economics Data Science information

What is an economics data science?

An Economics Data Science job combines economic theory, statistical analysis, and machine learning to interpret complex data and inform decision-making. Professionals in this field work with large datasets to analyze market trends, forecast economic conditions, and optimize business strategies. They commonly use programming languages like Python or R and tools such as SQL and econometric models. This role is valuable in industries like finance, government, and tech, where data-driven economic insights are crucial.

What are common projects or responsibilities for professionals in economics data science roles?

Economics Data Science professionals often work on projects that involve economic modeling, market analysis, and forecasting trends using large datasets. Typical responsibilities include gathering and cleaning economic data, developing predictive models, conducting statistical analyses, and translating results into actionable recommendations for business strategy or policy decisions. You may collaborate closely with economists, business analysts, and decision-makers to inform company direction or solve complex real-world problems. This role often involves a mix of independent data exploration and teamwork, offering opportunities to drive impactful results and shape organizational strategy.

What are the key skills and qualifications needed to thrive in economics data science, and why are they important?

To thrive in Economics Data Science, you need a strong background in economics, statistics, and programming (especially Python or R), often backed by a degree in economics, data science, or a related field. Proficiency with data analysis tools such as SQL, machine learning frameworks, and visualization software like Tableau is commonly required, and certifications in data science or analytics are advantageous. Excellent problem-solving abilities, communication skills, and a collaborative mindset help distinguish top performers in this position. These skills are crucial for effectively analyzing economic data, generating actionable insights, and conveying complex findings to both technical and non-technical stakeholders.

What are popular job titles related to Economics Data Science jobs in Florida?

For Economics Data Science jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Economics Data Science jobs in Florida look for?

The top searched job categories for Economics Data Science jobs in Florida are:

Economics Data Science jobs near you
Infographic showing various Economics Data Science job openings in Florida as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Manager Data Scientist

Philip Morris International U.S.

Tampa, FL • On-site

$104K - $130K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 2 days ago

New

Job description

Manager Data Scientist - Tampa, FL
At PMI U.S., we are building a modern nicotine business-focused on helping make a future without cigarettes a reality in America. As the U.S. businesses of Philip Morris International, we are investing in new products, science, and capabilities to provide the approximately 25 million legal age adults who still smoke with better alternatives.
Our approach is rooted in innovation, responsible marketing, and a growing U.S. footprint that spans manufacturing, technology, and commercial operations across the country.
That creates real opportunity. You'll have the space to take ownership, develop new ideas, and contribute to work that is shaping our business and the category. We're looking for people who are curious, collaborative, and motivated by progress-because the scale of what we're building creates room to grow in different directions.
About the Role
We are seeking a Manager, Data Science (Advanced Analytics) to design and deliver high-impact predictive and prescriptive analytics solutions that directly inform business decisions.
This role is a hands-on advanced analytics practitioner, not focused on descriptive reporting, dashboard development, or KPI tracking. Instead, it requires deep expertise in statistical modeling, forecasting, machine learning, and analytical problem solving, with a proven ability to translate complex business problems into scalable, decision-ready solutions.
You will operate as a technical owner of analytics use cases, partnering with business, product, and data platform teams to take solutions from problem framing through deployment and ongoing optimization.
While this role may provide guidance or mentorship to junior team members, it is primarily an individual contributor role with accountability for outcomes, not team size.
Your 'day to day':
1. Advanced Analytics & Modeling (Core Focus)
  • Design, build, and validate predictive and prescriptive models addressing key business problems (e.g., demand forecasting, pricing elasticity, promotion effectiveness, consumer behavior).
  • Apply appropriate techniques including time-series forecasting, regression, classification, optimization, or simulation based on business need.
  • Select modeling approaches grounded in business context, data constraints, interpretability, and scalability, not theoretical novelty.

2. End-to-End Use Case Ownership
  • Own analytics initiatives from problem framing data exploration model development deployment performance monitoring.
  • Translate ambiguous business questions into structured analytical problems with clear success criteria.
  • Continuously refine models based on real-world performance and stakeholder feedback.

3. Operationalization & Adoption
  • Partner with data engineering and platform teams to ensure models move beyond proof-of-concept into production or repeatable business workflows.
  • Embed outputs into planning cycles, commercial decision processes, and operational routines.
  • Monitor model performance, identify drift, and recommend enhancements or retirement as needed.

4. Business Communication & Influence
  • Communicate analytical approaches, assumptions, and limitations clearly to non-technical stakeholders.
  • Frame outputs as scenarios, trade-offs, and business implications, not just model results.
  • Act as a trusted analytics partner to business stakeholders.

5. Analytics Craft & Reusability
  • Develop reusable analytical assets, frameworks, and modeling components to reduce one-off effort.
  • Ensure proper documentation, explainability, and auditability of models.
  • Contribute to analytics standards and best practices across the organization.

Key Skills:
  • Bachelor's degree in Statistics, Mathematics, Economics, Data Science, Engineering, or related field (Master's preferred).
  • 5-8+ years of experience in data science or advanced analytics roles with demonstrated hands-on modeling experience.
  • Proven track record of delivering model-driven analytics, not just reporting or dashboards.
  • Strong proficiency in Python and/or R, with practical application of statistical and machine learning methods.
  • Experience with:
    • Forecasting, regression, classification, and/or optimization models
    • Working with large, complex, imperfect datasets (e.g., retail scan, consumer panels, transactional data)
  • Ability to translate analytics into business decisions and measurable outcomes.

Preferred Qualifications:
  • Experience in CPG, Retail, or Commercial Analytics environments.
  • Hands-on work in areas such as:
    • Pricing & promotion effectiveness
    • Demand forecasting
    • Revenue Growth Management (RGM)
    • Consumer behavior analytics
  • Experience with cloud data platforms (e.g., Snowflake, Databricks).
  • Familiarity with deploying and operationalizing models in production environments.
  • Ability to balance accuracy, interpretability, and business usability.

Annual Base Salary Range: $104,000 - $130,000
What we offer:
  • We offer a competitive base salary, annual bonus (applicable based on level of position), great medical, dental and vision coverage, 401k with a generous company match, incredible wellness benefits, commuter benefits, pet insurance, generous PTO, and much more!
  • We have implemented Smart Work, a hybrid model of working that promotes flexibility in the workplace.
  • Seize the freedom to define your future and ours. We'll empower you to take risks, experiment and explore.
  • Be part of an inclusive, diverse culture where everyone's contribution is respected; Collaborate with some of the world's best people and feel like you belong.
  • Pursue your ambitions and develop your skills with a global business - our staggering size and scale provides endless opportunities to progress.
  • Take pride in delivering our promise to society: To improve the lives of millions of smokers.

PMI is an Equal Opportunity Employer.
PMI is headquartered in Stamford, Conn., and its U.S. affiliates have more than 3,000 employees.
PMI has been an entirely separate company from Altria and Philip Morris USA since 2008. PMI's affiliates first entered the U.S. market following the company's acquisition of Swedish Match in late 2022. Philip Morris International and its U.S. affiliates are working to deliver a smoke-free future. Since 2008, PMI has invested $12.5 billion globally to develop, scientifically substantiate and commercialize innovative smoke-free products for adults who would otherwise continue to smoke with the goal of transitioning legal-age consumers who smoke to better alternatives. In 2022, PMI acquired Swedish Match - a leader in oral nicotine delivery - creating a global smoke-free champion led by the IQOS and ZYN brands. The U.S. Food and Drug Administration has authorized versions of PMI's IQOS electronically heated tobacco devices and Swedish Match's General snus as Modified Risk Tobacco Products and renewal applications for these products are presently pending before the FDA. For more information, please visit and ;br>
#PMIUS
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