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Sr. Data Scientist

  • Job type Posted on: Jul 15, 2026
  • Experience level Brooksource
  • Employment type Indianapolis, Indiana
  • Remote status Salary: $166,400 per year
  • Employment type Remote
  • Salary Full-time

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Job Title :

Sr. Data Scientist

Job Type :

Full-time

Job Location :

Indianapolis Indiana United States

Remote :

Yes

Jobcon Logo Job Description :

Geospatial Data Scientist Remote This is a Remote role. Compensation: $80 - $88 per hour ABOUT THE ROLE Our client is seeking a Geospatial Data Scientist to transform complex spatial data into actionable insights and support product and business decision-making. In this role, you will work across the full geospatial data pipeline-from data ingestion and processing to analysis, modeling, and visualization-and collaborate closely with engineering and product teams to embed spatial intelligence into our platform. You will be responsible for developing and maintaining spatial data models, applying machine learning techniques to spatial problems, and creating compelling visualizations for diverse stakeholders. The ideal candidate thrives in a fully remote, asynchronous environment and brings a solid understanding of geospatial standards, coordinate reference systems, and data quality management. WHAT YOU'LL DO Design and execute geospatial analyses to support product and business decision-making Build, validate, and maintain spatial data models and pipelines Query and manage geospatial datasets using PostgreSQL with PostGIS Work with geospatial data formats including GeoJSON, Shapefile, GeoTIFF, WKT, and WKB Develop machine learning models with spatial components (clustering, classification, interpolation, etc.) Create maps, dashboards, and visualizations to communicate findings to technical and non-technical stakeholders Collaborate with backend engineers to integrate geospatial features into production systems Evaluate and maintain geospatial data quality, coverage, and accuracy Apply GIS tools (QGIS, ArcGIS, or equivalent) for spatial analysis and visualization Ensure clear communication of geospatial insights in a remote, async environment Maintain familiarity with geospatial standards, coordinate reference systems, and spatial indexing Contribute to spatial data infrastructure and cloud-native geospatial workflows as needed WHAT YOU BRING 3-6 years of experience in data science, GIS, or a related field Strong proficiency in Python for geospatial data analysis and modeling (GeoPandas, Shapely, Fiona, Rasterio, or similar) Deep experience with PostgreSQL and PostGIS for spatial querying and data management Familiarity with geospatial standards and formats (GeoJSON, Shapefile, GeoTIFF, WMS/WFS, WKT, WKB, etc.) Experience with GIS tools such as QGIS, ArcGIS, or equivalent Solid understanding of coordinate reference systems (CRS), projections, and spatial indexing Experience applying machine learning techniques to spatial problems Ability to communicate findings clearly in a fully remote, async environment Experience with remote sensing or satellite imagery analysis (nice to have) Familiarity with cloud-native geospatial tools (PostGIS on AWS RDS, Google Earth Engine, etc.) (nice to have) Exposure to spatial data infrastructure (GeoServer, MapServer, Mapbox, Deck.gl) (nice to have) Experience with big geospatial data processing (Apache Sedona, H3, S2) (nice to have) Knowledge of Docker and containerized data workflows (nice to have) Familiarity with CI/CD and version control best practices (nice to have) #LI-JL1 Disclaimer: Brooksource, Medasource, and Calculated Hire are part of the Eight Eleven Group family of companies and operate under Eight Eleven Group, LLC. All employees receive the same benefits, policies, and terms of employment. EEO: We are committed to creating an inclusive environment for all employees and applicants. We do not discriminate on the basis of race, color, religion, creed, sex, sexual orientation, gender identity or expression, national origin, ancestry, age, disability, genetic information, marital status, military or veteran status, citizenship, pregnancy (including childbirth, lactation, and related conditions), or any other protected status in accordance with applicable federal, state, and local laws. Benefits & Perks: Brooksource offers competitive medical, dental, vision, Health Savings Account, Dependent Care FSA, and supplemental coverage with plans that can fit each employee's needs. We offer a 401k plan that includes a company match and is fully vested after you become eligible, paid time off, sick time, and paid company holidays. We also offer an Employee Assistance Program (EAP) that provides services like virtual counseling, financial services, legal services, life coaching, etc. Pay Disclaimer: The pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

Jobcon Logo Position Details

Posted:

Jul 15, 2026

Reference Number:

14660_1E9454679FDA2AE529ECFDAD6CF7D10F

Employment:

Full-time

Salary:

Not Available

City:

Indianapolis

Job Origin:

APPCAST_CPC

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Geospatial Data Scientist Remote This is a Remote role. Compensation: $80 - $88 per hour ABOUT THE ROLE Our client is seeking a Geospatial Data Scientist to transform complex spatial data into actionable insights and support product and business decision-making. In this role, you will work across the full geospatial data pipeline-from data ingestion and processing to analysis, modeling, and visualization-and collaborate closely with engineering and product teams to embed spatial intelligence into our platform. You will be responsible for developing and maintaining spatial data models, applying machine learning techniques to spatial problems, and creating compelling visualizations for diverse stakeholders. The ideal candidate thrives in a fully remote, asynchronous environment and brings a solid understanding of geospatial standards, coordinate reference systems, and data quality management. WHAT YOU'LL DO Design and execute geospatial analyses to support product and business decision-making Build, validate, and maintain spatial data models and pipelines Query and manage geospatial datasets using PostgreSQL with PostGIS Work with geospatial data formats including GeoJSON, Shapefile, GeoTIFF, WKT, and WKB Develop machine learning models with spatial components (clustering, classification, interpolation, etc.) Create maps, dashboards, and visualizations to communicate findings to technical and non-technical stakeholders Collaborate with backend engineers to integrate geospatial features into production systems Evaluate and maintain geospatial data quality, coverage, and accuracy Apply GIS tools (QGIS, ArcGIS, or equivalent) for spatial analysis and visualization Ensure clear communication of geospatial insights in a remote, async environment Maintain familiarity with geospatial standards, coordinate reference systems, and spatial indexing Contribute to spatial data infrastructure and cloud-native geospatial workflows as needed WHAT YOU BRING 3-6 years of experience in data science, GIS, or a related field Strong proficiency in Python for geospatial data analysis and modeling (GeoPandas, Shapely, Fiona, Rasterio, or similar) Deep experience with PostgreSQL and PostGIS for spatial querying and data management Familiarity with geospatial standards and formats (GeoJSON, Shapefile, GeoTIFF, WMS/WFS, WKT, WKB, etc.) Experience with GIS tools such as QGIS, ArcGIS, or equivalent Solid understanding of coordinate reference systems (CRS), projections, and spatial indexing Experience applying machine learning techniques to spatial problems Ability to communicate findings clearly in a fully remote, async environment Experience with remote sensing or satellite imagery analysis (nice to have) Familiarity with cloud-native geospatial tools (PostGIS on AWS RDS, Google Earth Engine, etc.) (nice to have) Exposure to spatial data infrastructure (GeoServer, MapServer, Mapbox, Deck.gl) (nice to have) Experience with big geospatial data processing (Apache Sedona, H3, S2) (nice to have) Knowledge of Docker and containerized data workflows (nice to have) Familiarity with CI/CD and version control best practices (nice to have) #LI-JL1 Disclaimer: Brooksource, Medasource, and Calculated Hire are part of the Eight Eleven Group family of companies and operate under Eight Eleven Group, LLC. All employees receive the same benefits, policies, and terms of employment. EEO: We are committed to creating an inclusive environment for all employees and applicants. We do not discriminate on the basis of race, color, religion, creed, sex, sexual orientation, gender identity or expression, national origin, ancestry, age, disability, genetic information, marital status, military or veteran status, citizenship, pregnancy (including childbirth, lactation, and related conditions), or any other protected status in accordance with applicable federal, state, and local laws. Benefits & Perks: Brooksource offers competitive medical, dental, vision, Health Savings Account, Dependent Care FSA, and supplemental coverage with plans that can fit each employee's needs. We offer a 401k plan that includes a company match and is fully vested after you become eligible, paid time off, sick time, and paid company holidays. We also offer an Employee Assistance Program (EAP) that provides services like virtual counseling, financial services, legal services, life coaching, etc. Pay Disclaimer: The pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

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