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Economics Data Science Jobs in Florida (NOW HIRING)

Senior Manager, Data Science We are Lennar Lennar is one of the nation's leading homebuilders ... Economics, Mathematics, or Engineering. Advanced degree (MS/PhD) preferred. * 10+ years of applied ...

Current student pursuing a Bachelor's or Master's degree in Economics, Data Science, Urban Studies, Finance, Real Estate, Public Policy, Political Science, Statistics, Mathematics, or a related field.

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 ...

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 ...

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 ...

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 ...

The Opportunity The Data Scientist Lead will work closely with the Data Science Director to ensure ... Bachelor's degree in mathematics, computer science, statistics, economics, finance, actuarial ...

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Economics Data Science information

Can economics majors work in data science?

Economics majors can work in data science roles, as their training in economic theory, statistical analysis, and quantitative methods provides a strong foundation. Success often depends on acquiring skills in programming languages like Python or R, data manipulation, and machine learning tools. Many data science positions value interdisciplinary knowledge, making economics a relevant background for analyzing and interpreting complex data sets.

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 is economics data science?

Economics data science is a field that combines economic theory with data analysis and statistical methods to understand and solve economic problems. Professionals in this area use tools like Python, R, and econometrics to analyze large datasets, forecast trends, and inform policy or business decisions.

What are the key skills and qualifications needed to thrive in the Economics Data Science position, 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.

Is 40 too late for data science?

Economics Data Science is a field that values skills and experience over age; many professionals transition into data science later in their careers. Gaining proficiency in programming languages like Python or R, along with statistical knowledge, can facilitate entry regardless of age, and continuous learning is common in the industry.

What jobs can I get with data science and economics?

With a background in data science and economics, you can pursue roles such as economic analyst, data scientist, financial analyst, policy analyst, or market researcher. These positions often require skills in statistical analysis, programming (e.g., Python, R), and understanding economic principles to analyze data and inform decision-making.

What is an Economics Data Science job?

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 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:
Infographic showing various Economics Data Science job openings in Florida as of July 2026, with employment types broken down into 90% Full Time, 5% Part Time, and 5% Contract. Highlights an 89% In-person, and 11% Remote job distribution.
Manager, Decision Science Products

Manager, Decision Science Products

The Walt Disney Company

Lake Buena Vista, FL

Full-time

Posted 28 days ago


Walt Disney Company rating

7.7

Company rating: 7.7 out of 10

Based on 128 frontline employees who took The Breakroom Quiz

5th of 51 rated entertainment


Job description

Job Posting Title:

Manager, Decision Science Products

Req ID:

10141554

Job Description:

About the Role & Team

The Disney Decision Science and Integration (DDSI) teamleveragesadvanced technologies, data analytics, and scientific approaches such as optimization and statistical modeling to build innovative tools that shape business decisions across The Walt Disney Company. We support Disney Entertainment (ABC, The Walt Disney Studios, Disney+, Hulu), ESPN, Disney Experiences (Theme Parks, Cruise Line, Consumer Products, DVC), and Corporate Finance with strategic applications that enable data-driven decision-making.

The Disney Decision Science & Integration (DDSI) organization provides internal consulting and advanced analytics capabilities across The Walt Disney Company. The Decision Science Product team partners with decision scientists, data engineers, software engineers, and user experience designers to build technology-enabled analytics products that shape business decisions and deliver measurable value. If selected for this role, you will report to the Director, Decision Science Products. This is a full-time role focused on launching and scaling new decision science products within an emerging products portfolio.

What You Will Do

  • Own the end-to-end product lifecycle for new decision science products-from discovery and ideation through launch, adoption, and continuous delivery.

  • Define product strategy and multi-release roadmaps; translate user and market insights into prioritized backlogs and clear outcomes.

  • Lead cross-functional squads (engineering, data science, data engineering, UX) to scope solutions, run experiments/prototypes, and deliver high-quality releases on time.

  • Convert complex analytical and technical concepts (forecasting, optimization, machine learning) into intuitive user experiences and actionable business capabilities.

  • Integrate user research, usability studies, and market analysis into requirements; champion user-centric design and measurable success criteria (OKRs/KPIs).

  • Establish and improve product development practices (agile ceremonies, backlog hygiene, release planning, and change management).

  • Guide solution testing and validation (unit, integration, UAT, and A/B testing) to ensure reliability, performance, and business impact.

  • Partner with client stakeholders as a strategic advisor; communicate roadmaps, trade-offs, and results through compelling narratives and visuals.

  • Develop and mentor team members; foster an inclusive, collaborative culture that embraces learning and experimentation.

Required Qualifications & Skills

  • 8+ years of experience including data science product management for technology-based data/analytics or software products, data science product management consulting, and/or novel data science and advanced analytics solution development.

  • 2 + years of experience leading cross-functional teams or agile squads in a matrixed environment.

  • Proven ability to translate technical requirements and analytical methods into customer-facing features and business outcomes.

  • Demonstrated experience with agile product development (e.g., backlog management, sprint planning, roadmap definition).

  • Experience partnering closely with engineering, data science/decision science, data engineering, and UX/design functions.

  • Ability to synthesize user research, usability testing, and market analysis to drive prioritization and product strategy.

  • Strong storytelling and executive communication skills with the ability to simplify complex analytics into clear, actionable recommendations.

  • Familiarity with statistical/ML concepts, forecasting and/or optimization, and data visualization; ability to query and analyze data (e.g., SQL).

  • Active commitment to fostering a diverse, equitable, and inclusive team environment.

Preferred Qualifications

  • Experience developing and/or managing data products

  • Familiarity with data mesh and zero copy architecture (Snowflake / iceberg a plus)

  • Experience in media, parks & experiences, or related consumer domains.
  • Success launching enterprise-scale analytics or data products and integrating them into business processes.

  • Experience with agentic AI products, design patterns, and architecture

  • Background in revenue management, forecasting, or optimization applications.

  • Hands-on familiarity with Python or R and modern data platforms (e.g., cloud services, ML Ops).

  • Experience with data visualization tools (e.g., Tableau) and experimentation platforms.

  • Consulting experience and/or product operations partnership to scale adoption and sustainment.

Education

Required Education:

  • Bachelor's degree and/or equivalent work experience

Preferred Education:

  • Bachelor's degree in Statistics, Mathematics, Engineering, Economics, Data Mining, Analytics, Computer Science, Finance, or other quantitative field, or equivalent experience.

  • Master's Degree or equivalent experience

#DISNEYTECH

#DisneyAnalytics

The hiring range for this position in Burbank, CA is $171,600 to $230,100 per year and Orlando, FL is $163,400 to $219,100 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

Job Posting Segment:

Enterprise Technology and Data

Job Posting Primary Business:

Decision Science & Integration

Primary Job Posting Category:

Product Management Tech

Employment Type:

Full time

Primary City, State, Region, Postal Code:

Burbank, CA, USA

Alternate City, State, Region, Postal Code:

USA - FL - Team Disney - Florida

Date Posted:

2026-02-12

What Walt Disney Company employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Walt Disney logo

About Walt Disney

Sourced by ZipRecruiter

At Disney, we're storytellers. We make the impossible, possible. We do this through utilizing and developing cutting-edge technology and pushing the envelope to bring stories to life through our movies, products, interactive games, parks and resorts, and media networks. Now is your chance to join our talented team that delivers unparalleled creative content to audiences around the world. "We create happiness." That's our motto at Walt Disney Parks and Resorts. And it permeates everything we do. At Disney, you'll help inspire that magic by enabling our teams to push the limits of entertainment and create the never-before-seen!

Industry

Amusement, gambling, and recreation

Company size

10,000+ Employees

Headquarters location

Burbank, CA, US

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