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Spatial Data Science Jobs in Miami, FL (NOW HIRING)

Varsity Tutors

AP Human Geography Tutor

Miami, FL · Remote

$18 - $40/hr

Skilled at teaching geographic model application, spatial data analysis, and free-response question ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

Varsity Tutors

AP Human Geography Tutor

Miami Beach, FL · Remote

$18 - $40/hr

Skilled at teaching geographic model application, spatial data analysis, and free-response question ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

Varsity Tutors

AP Human Geography Tutor

Sunrise, FL · Remote

$18 - $40/hr

Skilled at teaching geographic model application, spatial data analysis, and free-response question ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

Varsity Tutors

AP Human Geography Tutor

Cooper City, FL · Remote

$18 - $40/hr

Skilled at teaching geographic model application, spatial data analysis, and free-response question ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

Varsity Tutors

AP Human Geography Tutor

Doral, FL · Remote

$18 - $40/hr

Skilled at teaching geographic model application, spatial data analysis, and free-response question ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

Varsity Tutors

AP Human Geography Tutor

Coral Gables, FL · Remote

$18 - $40/hr

Skilled at teaching geographic model application, spatial data analysis, and free-response question ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

Varsity Tutors

AP Human Geography Tutor

Miramar, FL · Remote

$18 - $40/hr

Skilled at teaching geographic model application, spatial data analysis, and free-response question ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

Varsity Tutors

AP Human Geography Tutor

Hialeah, FL · Remote

$18 - $40/hr

Skilled at teaching geographic model application, spatial data analysis, and free-response question ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

FitMatch

Technical Product Manager

Fort Lauderdale, FL · On-site +1

$159K - $183K/yr

Work cross-functionally with domain experts - clinicians, sports scientists, retail and apparel ... 3D/spatial data products, or Prior hands-on software engineering and/or data architecture ...

The University of Miami

Entry Scientist

Miami, FL · On-site

CORE JOB SUMMARY The Entry Scientist, SOM supports assigned research activities for the department ... spatial proteomics, and advanced imaging techniques to postmortem brain tissues. Data Analytics ...

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All JobsSpatial Data Science JobsSpatial Data Science Jobs in Miami, FL

Spatial Data Science information

See Miami, FL salary details

$42.5K

$123.9K

$169.5K

How much do spatial data science jobs pay per year?

As of Aug 25, 2026, the average yearly pay for spatial data science in Miami, FL is $123,871.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,300.00 and $131,300.00 per year, depending on experience, location, and employer.

What is spatial data science?

Spatial data science is a field that combines data science techniques with geographic information systems (GIS) to analyze and interpret spatial or location-based data. It involves collecting, processing, and visualizing data that has a geographic or spatial component, such as maps, satellite images, or GPS coordinates. Spatial data scientists use methods from statistics, machine learning, and computer science to solve problems related to urban planning, environmental monitoring, transportation, and more. The insights gained from spatial data science help organizations make better decisions based on the relationships and patterns found in geographic data.

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

To thrive as a Spatial Data Scientist, you need a strong background in statistics, geospatial analysis, and programming (often with Python or R), typically supported by a degree in geography, computer science, or a related field. Proficiency with GIS software (such as ArcGIS or QGIS), spatial databases (like PostGIS), and relevant certifications (e.g., Esri Technical Certification) is commonly required. Strong analytical thinking, problem-solving abilities, and effective communication are vital soft skills to interpret spatial data and convey insights to stakeholders. These competencies are crucial for extracting actionable insights from complex geospatial datasets and supporting informed decision-making.

What are some typical challenges spatial data scientists face when integrating geospatial data from multiple sources?

Spatial data scientists often encounter challenges like inconsistencies in data formats, varying coordinate reference systems, and differences in spatial resolution when integrating geospatial data from multiple sources. Addressing these requires familiarity with data transformation tools and a strong understanding of spatial data standards. Additionally, ensuring data quality and managing large datasets can be complex, so attention to detail and effective use of GIS software are crucial for successful integration.

What is the difference between Spatial Data Science vs Geospatial Analyst?

AspectSpatial Data ScienceGeospatial Analyst
Required CredentialsDegree in GIS, Geography, Data Science, or related fields; often includes certifications in GIS or data analysisDegree in Geography, GIS, or related fields; certifications in GIS software are common
Work EnvironmentData analysis, modeling, and programming; often in tech or research settingsMapping, data visualization, and GIS software use; typically in government, environmental, or urban planning agencies
Employer & Industry UsageTech companies, research institutions, urban planning, environmental agenciesGovernment agencies, environmental consultancies, urban planning firms

Spatial Data Science focuses on analyzing spatial data using advanced data science techniques, programming, and modeling. In contrast, Geospatial Analysts primarily work with GIS software to create maps and visualize spatial data. While both roles require GIS knowledge, Spatial Data Scientists often have stronger programming and statistical skills, working on complex data analysis projects, whereas Geospatial Analysts focus more on mapping and data visualization tasks.

What does a spatial data scientist do?

A spatial data scientist analyzes geographic data to identify patterns, relationships, and trends using tools like GIS software and programming languages such as Python or R. They develop models, visualize spatial information, and support decision-making in fields like urban planning, environmental management, and logistics.

What are popular job titles related to Spatial Data Science jobs in Miami, FL?

For Spatial Data Science jobs in Miami, FL, the most frequently searched job titles are:

What job categories do people searching Spatial Data Science jobs in Miami, FL look for?

The top searched job categories for Spatial Data Science jobs in Miami, FL are:

Spatial Data Science jobs near you
Infographic showing various Spatial Data Science job openings in Miami, FL as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $123,871 per year, or $59.6 per hour.

Machine Learning Engineer (3D Vision)

Fort Lauderdale, FL • On-site, Remote

FitMatch
See more jobs at FitMatchexternal

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 23 days ago

Job description

We are seeking a visionary, highly skilled, and impact-driven Computer Vision Engineer (3D-focused) to join our Data Science team. This is a role designed for a creative problem solver and technical thought leader-someone who looks at complex, high-dimensional data and translates it into real-world human outcomes.
In this role, you will own the mission of transforming raw 3D body scan data, measurement features, and body composition metrics into actionable insights. Your work will directly impact cutting-edge healthcare applications and optimize performance tracking for both adolescent and professional athletes in the sports/fitness space. If you want to move beyond passive model training and actively pioneer solutions to real-world physical challenges, this is your sandbox.
Note: This position is a contract-to-hire opportunity
Key Responsibilities (Driving Innovation)
  • Architect & Pioneer: Develop, train, and deploy advanced machine learning and deep learning models for complex spatial analysis of 3D human body scans. You will move fluidly from zero-to-one prototyping to production infrastructure.
  • Build from Truth: Work directly with ground truth 3D data to creatively build high-performance, robust predictive models that solve tangible physiological pain points.
  • Cross-Disciplinary Integration: Synthesize 3D spatial features with multi-modal metadata, including biometrics, demographic information, and self-reported health outcomes to reveal comprehensive health insights.
  • Unlocking Complex Data: Design and implement novel algorithms for feature extraction and dimensionality reduction from irregular mesh or point cloud data.
  • Scientific Rigor & Validation: Conduct comprehensive statistical validation and A/B testing of models and deployed features to ensure real-world efficacy and safety.
  • Collaborative Thought Leadership: Act as a technical partner alongside software engineers and domain experts (such as clinicians and biomechanical engineers) to scale and integrate solutions directly into production.
  • Data Storytelling: Generate clear, compelling visualizations and reports that effectively communicate nuanced, complex analytical results to both technical teams and non-technical stakeholders.

About You
  • The Problem-Solver Mindset: You are energized by tackling ambiguous, complex technical challenges and excel at manipulating data in all its forms-especially 3D and spatial data.
  • The Innovator's Foundation: You bring a bulletproof foundation in Python, machine learning, and scientific computing, paired with an insatiable curiosity, creativity, and a proactive, hands-on approach to building solutions.
  • Real-World Impact Focus: You don't just optimize metrics in a vacuum; you care deeply about how your models perform when applied to a real human body.

Qualifications
  • Education: Bachelor's or Master's degree in Computer Science, Electrical Engineering, Applied Mathematics, or a closely related quantitative field.
  • Experience: Minimum of 3+ years of professional experience as a Data Scientist or Machine Learning/Computer Vision Engineer, with a focus on high-dimensional or spatial data domains.
  • Execution: A proven track record of autonomous ownership-taking a model all the way from initial research/prototype to live production deployment.

Programming & Infrastructure
  • Python Mastery: Expert-level Python and full command of its scientific computing stack.
  • Data & Math Foundations: Deep proficiency with data manipulation libraries like Pandas and NumPy , alongside scientific computing tools like SciPy and Scikit-learn.
  • Infrastructure Autonomy: High proficiency in Linux/Unix-based terminal interfaces and cloud shell environments (AWS, GCP, or Azure CLI). You should be fully capable of managing compute resources, automating workflows, and troubleshooting cloud infrastructure directly from the command line.

Machine Learning & Vision
  • Deep Learning Frameworks: Production experience utilizing PyTorch and/or TensorFlow/Keras.
  • Statistical Rigor: A strong background in statistical modeling, predictive modeling, and experimental design.
  • 3D Geometry Processing: Direct experience handling computer vision tasks relevant to 3D geometry, such as registration, segmentation, and shape analysis.
  • Spatial Statistics: Strong familiarity with spatial statistics and specialized techniques for analyzing geometric features.

Preferred Skills (The Toolset of a Thought Leader)
  • Advanced Geometric Deep Learning: Knowledge of cutting-edge geometric deep learning techniques (e.g., PointNet, CNN, DGCNN, GCNs/Graph Neural Networks) for processing irregular 3D structures.
  • 3D Frameworks: Hands-on experience working with 3D point clouds and/or mesh data structures (e.g., PLY, OBJ, USDZ, STL formats).
  • Processing Libraries: Familiarity with modern libraries for geometric processing and visualization, such as Open3D, PCL (Point Cloud Library), or Trimesh.
  • Modern MLOps: Scaled deployment experience using Docker and Kubernetes.
  • Creative Prototyping: Experience with 3D modeling and asset creation in Blender for synthetic data generation or visualization.

Compensation, Perks & Benefits
  • Generous PTO policy + 12 paid US holidays
  • Medical, dental, and vision insurance for you and your family
  • Paid Parental Leave
  • 401k
About Us
Fit:Match is a B2B2C technology company on a mission to revolutionize the apparel industry through data science to deliver increased relevance and satisfaction for shoppers, improve retail economics, and help the industry as a whole make significant strides towards sustainable apparel retail. We are looking for people who share the same passion.
Fit: Match is backed by an investor group including experienced angel investors, institutional firms, and multi-billion dollar retailers. The best part of working at Fit:Match is, without a doubt, the people. We pride ourselves on hiring team members who embody our people characteristics of low ego, collaboration, dependability, and proven domain expertise. At Fit:Match, you would work cross-functionally with another top global talent with experience in the technology, data science, apparel design and fit, marketing, and retail industries. We obsess over growth, speed, and accuracy. We love a scrappy idea, an out-of-the-box growth hack, and live for reimagining and trying new things.
Department Engineering Locations Fort Lauderdale, New York, NY, San Francisco, CA, Seattle, WA Remote status Fully Remote

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