Mindlance
Data Analytics & Engineering - Data Scientist IV
Mindlance, Myrtle Point, Oregon, United States, 97458
Overview
We are seeking a skilled Spatial Data Scientist / Geospatial Analyst to design, build, and maintain geospatial tooling and analysis functions using ArcGIS Enterprise and other geospatial platforms. This role will support Meta’s Infra Competitive Insights team by providing ongoing and ad hoc geospatial analyses, leveraging data center locations, energy infrastructure, parcel data, and other relevant datasets to drive business insights. This role bridges data science, spatial analytics, and GIS application development—helping decision-makers understand geographic patterns, optimize infrastructure, and forecast spatial change. Key Responsibilities
Perform advanced geospatial analyses including spatial statistics, network modeling, proximity analysis, and raster processing. Develop predictive and spatial-statistical models (e.g., site suitability, spatial clustering, accessibility modeling, network optimization, spatial regression). Perform multi-scale spatial analysis using raster and vector datasets, including proximity modeling. Lead geospatial data analysis and modeling using ArcGIS Enterprise, ArcGIS Pro, Excel, SQL databases, and other geospatial tools. Utilize ArcGIS Pro toolkits (Spatial Analyst, 3D Analyst, Network Analyst, Geostatistical Analyst) for advanced spatial analysis. Design compelling data visualizations that communicate spatial patterns, uncertainty, and model outputs to both technical and non-technical audiences. Collaborate with cross-functional teams to produce geospatial analyses, maps, and derivative reports for business stakeholders. Apply advanced statistical and geospatial analysis techniques to diverse datasets. Establish, document, and continuously improve business processes related to geospatial data management and analysis. Manage recurring reporting processes, ensuring timely and accurate updates. Communicate technical findings and recommendations clearly to senior audiences, both verbally and in writing. Ideal Candidate
Demonstrates strong problem-solving skills and a structured, logical approach to complex issues. Proficient in communicating technical concepts and research findings to both technical and non-technical audiences. Experienced in working independently, managing processes and timelines, and seeking feedback as needed. Skilled at managing multiple complex priorities efficiently and with strong attention to detail. Creative and proactive in approaching complex research questions and data analyses. Experienced in building and maintaining standardized processes, databases, dashboards, and analytical tools. Demonstrates strong cross-functional partnership and collaboration skills. Education & Experience
Bachelor’s degree in Geography, Data Science, Mathematics, Business Management, Economics, Finance, Human Resources, or a relevant field required. 2+ years of experience in geospatial analytics, data science, or a related field. Proficiency in ArcGIS Enterprise, ArcGIS Pro, and geospatial data analysis tools. Experience with SQL databases, Excel, and dashboard/reporting tools. Familiarity with geospatial programming libraries (e.g., Python, R) and data formats (Shapefiles, GeoJSON, CSV). Preferred Qualifications
Master’s degree in a relevant field. Experience with remote sensing, LiDAR, or image analysis. Experience with cloud-based analytics platforms and geospatial data storage. Prior experience supporting infrastructure, energy, or data center projects. Legal and EEO Notices
Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Los Angeles Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, qualified applicants will be considered for assignment with arrest and conviction records. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, meet client expectations, standards, and accompanying requirements, and safeguard business operations and company reputation. EEO: Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.
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We are seeking a skilled Spatial Data Scientist / Geospatial Analyst to design, build, and maintain geospatial tooling and analysis functions using ArcGIS Enterprise and other geospatial platforms. This role will support Meta’s Infra Competitive Insights team by providing ongoing and ad hoc geospatial analyses, leveraging data center locations, energy infrastructure, parcel data, and other relevant datasets to drive business insights. This role bridges data science, spatial analytics, and GIS application development—helping decision-makers understand geographic patterns, optimize infrastructure, and forecast spatial change. Key Responsibilities
Perform advanced geospatial analyses including spatial statistics, network modeling, proximity analysis, and raster processing. Develop predictive and spatial-statistical models (e.g., site suitability, spatial clustering, accessibility modeling, network optimization, spatial regression). Perform multi-scale spatial analysis using raster and vector datasets, including proximity modeling. Lead geospatial data analysis and modeling using ArcGIS Enterprise, ArcGIS Pro, Excel, SQL databases, and other geospatial tools. Utilize ArcGIS Pro toolkits (Spatial Analyst, 3D Analyst, Network Analyst, Geostatistical Analyst) for advanced spatial analysis. Design compelling data visualizations that communicate spatial patterns, uncertainty, and model outputs to both technical and non-technical audiences. Collaborate with cross-functional teams to produce geospatial analyses, maps, and derivative reports for business stakeholders. Apply advanced statistical and geospatial analysis techniques to diverse datasets. Establish, document, and continuously improve business processes related to geospatial data management and analysis. Manage recurring reporting processes, ensuring timely and accurate updates. Communicate technical findings and recommendations clearly to senior audiences, both verbally and in writing. Ideal Candidate
Demonstrates strong problem-solving skills and a structured, logical approach to complex issues. Proficient in communicating technical concepts and research findings to both technical and non-technical audiences. Experienced in working independently, managing processes and timelines, and seeking feedback as needed. Skilled at managing multiple complex priorities efficiently and with strong attention to detail. Creative and proactive in approaching complex research questions and data analyses. Experienced in building and maintaining standardized processes, databases, dashboards, and analytical tools. Demonstrates strong cross-functional partnership and collaboration skills. Education & Experience
Bachelor’s degree in Geography, Data Science, Mathematics, Business Management, Economics, Finance, Human Resources, or a relevant field required. 2+ years of experience in geospatial analytics, data science, or a related field. Proficiency in ArcGIS Enterprise, ArcGIS Pro, and geospatial data analysis tools. Experience with SQL databases, Excel, and dashboard/reporting tools. Familiarity with geospatial programming libraries (e.g., Python, R) and data formats (Shapefiles, GeoJSON, CSV). Preferred Qualifications
Master’s degree in a relevant field. Experience with remote sensing, LiDAR, or image analysis. Experience with cloud-based analytics platforms and geospatial data storage. Prior experience supporting infrastructure, energy, or data center projects. Legal and EEO Notices
Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Los Angeles Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, qualified applicants will be considered for assignment with arrest and conviction records. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, meet client expectations, standards, and accompanying requirements, and safeguard business operations and company reputation. EEO: Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.
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