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Data Scientist Electrical Engineer Jobs in Florida

Ph.D. in a quantitative discipline (Statistics, Computer Science, Physics, Electrical Engineering ... Advanced experience with data visualization tools (e.g., Tableau, PowerBI, or R/Shiny)

Data Scientist

Tampa, FL · On-site

$145K - $165K/yr

Ph.D. in a quantitative discipline (Statistics, Computer Science, Physics, Electrical Engineering ... Advanced experience with data visualization tools (e.g., Tableau, PowerBI, or R/Shiny)

Data Scientist

Tampa, FL

$145K - $165K/yr

Ph.D. in a quantitative discipline (Statistics, Computer Science, Physics, Electrical Engineering ... Advanced experience with data visualization tools (e.g., Tableau, PowerBI, or R/Shiny)

Data Scientist

Tampa, FL

$145K - $165K/yr

Ph.D. in a quantitative discipline (Statistics, Computer Science, Physics, Electrical Engineering ... Advanced experience with data visualization tools (e.g., Tableau, PowerBI, or R/Shiny)

Data Scientist

Tampa, FL · On-site

$145 - $165/hr

Ph.D. in a quantitative discipline (Statistics, Computer Science, Physics, Electrical Engineering ... Advanced experience with data visualization tools (e.g., Tableau, PowerBI, or R/Shiny)

Data Scientist

Tampa, FL · On-site

$145 - $165/hr

Ph.D. in a quantitative discipline (Statistics, Computer Science, Physics, Electrical Engineering ... Advanced experience with data visualization tools (e.g., Tableau, PowerBI, or R/Shiny)

In this role, you will analyze test data requirements, design state-of-the-art sensor and ... Must have or be able to obtain an Secret Security Clearance The Scientist and Engineer labor ...

Job Title: Data Scientist Location: Austin, TX 78757 (or) Tampa, FL 33602 - Remote Full-Time As ... Work closely with commercial, supply chain, and engineering teams to build ML solutions that ...

Data Scientist

Tampa, FL · On-site

$130K - $140K/yr

Job Title: Data Scientist Location: Austin, TX 78757 (or) Tampa, FL 33602 - Onsite Full-Time As ... Work closely with commercial, supply chain, and engineering teams to build ML solutions that ...

Looking for candidate making a career in Data Science with experience applying advanced statistics, data mining and machine learning algorithms to make data-driven predictions using programming ...

The Data Scientist will leverage their strong technical background and knowledge to interpret and ... This role requires a knowledge of programming, mathematical modeling, and statistics to carry out ...

Data Scientist

Fort Lauderdale, FL · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Act as a liaison between the ML Engineers and Data Science team, managing AI/ML model deployments and conducting testing. * Participate in the development of modeling presentations and present ...

Data Scientist

Jacksonville, FL · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Act as a liaison between the ML Engineers and Data Science team, managing AI/ML model deployments and conducting testing. * Participate in the development of modeling presentations and present ...

Data Scientist

Cape Canaveral, FL

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Python, R, or similar programming languages * Machine learning frameworks (scikit-learn, TensorFlow ... Scientific computing * Geospatial data formats and standards * Publications in peer-reviewed ...

Data Scientist

Miami, FL

$102K - $128K/yr

  • Medical

  • Life

  • Retirement

Collaborate with data and software engineers to support data science solutions through the entire product lifecycle, including data wrangling, exploratory analysis, hypothesis testing, modeling ...

Data Scientist

Miami, FL

$102K - $128K/yr

  • Medical

  • Life

  • Retirement

Collaborate with data and software engineers to support data science solutions through the entire product lifecycle, including data wrangling, exploratory analysis, hypothesis testing, modeling ...

Data Scientist

Miami, FL

$102K - $128K/yr

  • Medical

  • Life

  • Retirement

Collaborate with data and software engineers to support data science solutions through the entire product lifecycle, including data wrangling, exploratory analysis, hypothesis testing, modeling ...

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Showing results 1-20

Data Scientist Electrical Engineer information

What are the key skills and qualifications needed to thrive as a data scientist electrical engineer, and why are they important?

To excel as a Data Scientist Electrical Engineer, you need a solid foundation in electrical engineering principles, statistics, and data analysis, usually supported by a degree in electrical engineering, computer science, or a related field. Proficiency in programming languages like Python or MATLAB, experience with machine learning frameworks, and familiarity with tools such as MATLAB, TensorFlow, and data visualization platforms are typically required. Strong problem-solving skills, effective communication, and the ability to collaborate across multidisciplinary teams are essential soft skills. These skills ensure that professionals can analyze complex engineering data, develop innovative solutions, and communicate insights effectively to drive technical advancements.

How does a data scientist electrical engineer typically collaborate with cross-functional teams to drive successful projects?

Data Scientist Electrical Engineers often work closely with hardware engineers, software developers, and data analytics teams to develop and optimize intelligent systems. Their role involves translating raw sensor or signal data into actionable insights through advanced analytics and machine learning models. Effective collaboration requires clear communication of complex technical findings and aligning analytical approaches with engineering constraints and project goals. This teamwork is essential for ensuring that data-driven solutions are feasible, scalable, and meet both technical and business requirements.

What does a data scientist electrical engineer do?

A Data Scientist Electrical Engineer combines expertise in electrical engineering with advanced data analysis and machine learning skills. They analyze large sets of electrical data from systems such as power grids, electronic devices, or sensors to identify patterns, optimize performance, and predict failures. These professionals often work on smart grid technology, IoT applications, or improving the efficiency and reliability of electrical systems through data-driven insights. Their role bridges traditional engineering practices with modern data science techniques.

What is the difference between Data Scientist Electrical Engineer vs Electrical Engineer?

AspectData Scientist Electrical EngineerElectrical Engineer
Required CredentialsBachelor's or Master's in Electrical Engineering, Data Science, or related fields; certifications like IEEE or data analytics certificationsBachelor's or Master's in Electrical Engineering; Professional Engineer (PE) license often preferred
Work EnvironmentTech companies, R&D labs, industries integrating data analysis with electrical systemsPower plants, manufacturing, construction, and infrastructure projects
Industry UsageData-driven electrical system optimization, predictive maintenance, IoT applicationsDesign, develop, and maintain electrical systems and equipment

Data Scientist Electrical Engineers combine electrical engineering expertise with data analysis skills to optimize electrical systems and develop innovative solutions. In contrast, Electrical Engineers focus on designing and maintaining electrical infrastructure. Both roles require strong technical credentials but differ in their focus on data analytics versus traditional electrical design.

Can an electrical engineer work as a data scientist?

An electrical engineer can work as a data scientist if they acquire relevant skills such as programming in Python or R, understanding of machine learning algorithms, and data analysis techniques. Many data scientists have backgrounds in engineering, mathematics, or computer science, and transitioning often involves additional training or certification in data analytics and statistics.

What are popular job titles related to Data Scientist Electrical Engineer jobs in Florida?

For Data Scientist Electrical Engineer jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Data Scientist Electrical Engineer jobs in Florida look for?

The top searched job categories for Data Scientist Electrical Engineer jobs in Florida are:

What cities in Florida are hiring for Data Scientist Electrical Engineer jobs?

Cities in Florida with the most Data Scientist Electrical Engineer job openings:

Infographic showing various Data Scientist Electrical Engineer job openings in Florida as of August 2026, with employment types broken down into 91% Full Time, and 9% Contract. Highlights an 91% In-person, and 9% Remote job distribution.

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Re-posted 23 days ago


Job description

About the Organization
Now is a great time to join Redhorse Corporation. We are a solution-driven company delivering data insights and technology solutions to customers with missions critical to U.S. national interests. We're looking for thoughtful, skilled professionals who thrive as trusted partners building technology-agnostic solutions and want to apply their talents supporting customers with difficult and important mission sets.
About the Role
Redhorse transforms the way government uses data and technology. To support this mission, we are seeking a Senior Data Scientist to support the United States Central Command (USCENTCOM) Directorate of Logistics (CCJ4) at MacDill AFB. In this role, you will play a critical part in accelerating AI-enabled capabilities for the Joint Logistics Enterprise. You will help modernize the Joint Logistics Common Operating Picture (JLOGCOP) by integrating AI/ML capabilities into dozens of automated and manual DoD data feeds. Your work will directly increase the speed of planning and enhance decision-making for missions that promote regional cooperation and deter aggression across the USCENTCOM area of responsibility.
Key Responsibilities
  • Communicate regularly with client leadership regarding enterprise values, project direction, and mission objectives.
  • Identify the intersection between strategic business value, simulation-based forecasting, and achievable technical work within the logistics domain.
  • Articulate and translate complex business questions into technical solutions using available DoD data sources and mission-level modeling outputs.
  • Explore and analyze diverse datasets-including live telemetry and simulated environments-to identify meaningful entities, relationships, and trends.
  • Design and implement robust data ingestion and cleaning pipelines to ensure high-quality inputs for AI/ML models and stochastic simulations.
  • Develop applications, simulation dashboards, and effective data visualizations to communicate complex insights and scenario outcomes to non-technical stakeholders.
  • Serve as a technical ambassador for executive DoD leadership to sponsor and grow data literacy and modeling proficiency across the enterprise.

Required Experience/Clearance
  • An active Secret security clearance is required (TS/SCI eligibility preferred).
  • 8+ years of professional experience in data science, analytics, or Operations Research.
  • Master's degree from an accredited college or university in a quantitative discipline (Statistics, Computer Science, Physics, Electrical Engineering, or related STEM field).
  • Proficiency in functional programming languages such as Python, R, or Scala.
  • Strong experience with Modeling & Simulation (M&S) frameworks (e.g., AFSIM, EADSIM, STORM, or similar mission-level tools).
  • Strong experience with database languages, specifically SQL.
  • Demonstrated ability to discern and apply appropriate statistical and probabilistic modeling approaches for different mission contexts.
  • Proven experience communicating key findings through technical visualizations, simulated course-of-action briefings, and technical reports.
  • Ability to work independently to recommend solutions while collaborating effectively within a cross-functional team.
  • Ability to travel up to 10% as required by the mission.

Desired Experience
  • Ph.D. in a quantitative discipline (Statistics, Computer Science, Physics, Electrical Engineering, etc.).
  • Experience integrating simulation data into enterprise-level platforms (e.g., Advana, MAVEN, or C2IE).
  • Experience developing within cloud-based platforms (e.g., AWS, Azure, or GovCloud).
  • Experience with large-scale data processing tools and distributed computing frameworks (e.g., Spark, Databricks).
  • Advanced experience with data visualization tools (e.g., Tableau, PowerBI, or R/Shiny).
  • Familiarity with DoD logistics data, USCENTCOM mission sets, and Joint Staff modeling requirements.

The salary range provided for this position represents the anticipated base salary for successful candidates. Actual compensation will be determined based on a variety of factors, including relevant experience, education, certifications, skills, security clearance level, geographic location, market conditions, and internal equity. In addition to base salary, eligible employees may participate in Redhorse's comprehensive benefits programs and may be eligible for performance-based or other incentive compensation, where applicable.
Redhorse Corporation is an equal opportunity employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability, or any other protected class.
If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to access job openings or apply for a job on this site as a result of your disability. You can request reasonable accommodations by contacting Talent Acquisition at
Redhorse Corporation shall, in its discretion, modify or adjust the position to meet Redhorse's changing needs. This job description is not a contract and may be adjusted as deemed appropriate in Redhorse's sole discretion.