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Freelance Geospatial Data Scientist Jobs in Spring, TX

Strong expertise in geospatial analytics and LiDAR data processing. * Hands-on experience with ... Mentor data scientists and promote best practices in analytics and machine learning. * Support ...

The Data Scientist plays a key role in advancing digital innovation by developing data-driven ... Apply geospatial and sensor data analytics to support pipeline monitoring, flow optimization, and ...

New

Data Science & Analysis Travel Required: Up to 10% Clearance Required: Ability to Obtain Public ... Experience in geospatial analyses using QGIS, ArcGIS, etc. * Experience with statistical modeling ...

Perform quality control of survey data, geodetic calculations, and vendor deliverables. * Ensure ... Bachelor's degree in Geodesy, Surveying Engineering, Geomatics, Geospatial Sciences, or a related ...

AI Software Engineer

Houston, TX · On-site

$115K - $145K/yr

Partner with data scientists, agronomists, and product stakeholders to translate scientific and ... Geospatial - Experience with geospatial data formats, coordinate systems, raster and vector ...

AI Software Engineer

Houston, TX · Remote

$115K - $145K/yr

Partner with data scientists, agronomists, and product stakeholders to translate scientific and ... Geospatial -- Experience with geospatial data formats, coordinate systems, raster and vector ...

AI Software Engineer

Houston, TX · Remote

$115K - $145K/yr

Partner with data scientists, agronomists, and product stakeholders to translate scientific and ... Geospatial - Experience with geospatial data formats, coordinate systems, raster and vector ...

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Freelance Geospatial Data Scientist information

See Spring, TX salary details

$33.4K

$109.2K

$174.9K

How much do freelance geospatial data scientist jobs pay per year?

As of Aug 22, 2026, the average yearly pay for freelance geospatial data scientist in Spring, TX is $109,224.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,700.00 and $121,000.00 per year, depending on experience, location, and employer.

What is the difference between Freelance Geospatial Data Scientist vs Geospatial Data Analyst?

AspectFreelance Geospatial Data ScientistGeospatial Data Analyst
CredentialsTypically requires advanced degrees (Master's or PhD) in GIS, Geography, or related fieldsOften requires a bachelor's degree in GIS, Geography, or related disciplines
Work EnvironmentIndependent, project-based, remote or on-siteEmployed by organizations, working in office or remote teams
Industry UsageUsed across various industries for complex spatial modeling and data science tasksPrimarily involved in data visualization, reporting, and basic spatial analysis

Freelance Geospatial Data Scientists focus on advanced spatial data modeling and machine learning, often working independently on complex projects. Geospatial Data Analysts typically handle data visualization and reporting within organizations. The main difference lies in the complexity of tasks and level of expertise required.

What are popular job titles related to Freelance Geospatial Data Scientist jobs in Spring, TX?

For Freelance Geospatial Data Scientist jobs in Spring, TX, the most frequently searched job titles are:

What job categories do people searching Freelance Geospatial Data Scientist jobs in Spring, TX look for?

The top searched job categories for Freelance Geospatial Data Scientist jobs in Spring, TX are:

What cities near Spring, TX are hiring for Freelance Geospatial Data Scientist jobs?

Cities near Spring, TX with the most Freelance Geospatial Data Scientist job openings:

Full-time

This job post has expired 2 days ago. Applications are no longer accepted.


Job description

Required Skills
  • 10+ years of hands-on experience in Applied Data Science, Analytics Engineering, and Systems Modeling.
  • 5+ years of client-facing, consulting, or business development experience delivering analytics solutions.
  • Expertise in statistical modeling, machine learning, and predictive analytics.
  • Strong proficiency with Python, scikit-learn, statsmodels, PyTorch, and TensorFlow.
  • Experience in time-series forecasting, causal inference, feature engineering, and advanced data sampling/resampling techniques.
  • Strong expertise in geospatial analytics and LiDAR data processing.
  • Hands-on experience with ArcGIS, PostGIS, GeoPandas, GDAL/OGR, PDAL, and related geospatial libraries.
  • Experience working with vector, raster, point-cloud, and sensor datasets.
  • Excellent analytical, communication, and stakeholder management skills.
Roles & Responsibilities
  • Design and develop advanced machine learning and statistical models to solve complex business problems.
  • Build predictive models, time-series forecasting solutions, and causal inference frameworks.
  • Perform feature engineering, data preparation, and advanced sampling techniques for large-scale datasets.
  • Develop geospatial analytics and LiDAR processing solutions using industry-standard tools and libraries.
  • Analyze vector, raster, point-cloud, and sensor data to generate actionable insights.
  • Partner with business stakeholders to scope, design, and deliver data science solutions.
  • Present analytical findings and recommendations to technical and business audiences.
  • Optimize model performance, scalability, and deployment in production environments.
  • Mentor data scientists and promote best practices in analytics and machine learning.
  • Support innovation initiatives through advanced analytics and AI-driven solutions.