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Spatial Data Science Jobs in Philadelphia, PA (NOW HIRING)

General knowledge of data science or spatial analysis and how it is used for problem solving and uncovering patterns and trends within organizations * Awareness of marketing tactics and strategies

General knowledge of data science or spatial analysis and how it is used for problem solving and uncovering patterns and trends within organizations * Knowledge of industry fiscal year, budgeting ...

New

General knowledge of data science or spatial analysis and how it is used for problem solving and uncovering patterns and trends within organizations * Awareness of marketing tactics and strategies

Deep knowledge of physical geography, human geography, map reading and spatial analysis, climate ... Guides students through reading topographic and thematic maps, analyzing population data and ...

Deep knowledge of physical geography, human geography, map reading and spatial analysis, climate ... Guides students through reading topographic and thematic maps, analyzing population data and ...

Sr. Partner Manager

Philadelphia, PA · On-site

$107K - $182K/yr

General knowledge of data science or spatial analysis and how it is used for problem solving and uncovering patterns and trends within organizations * Awareness of marketing tactics and strategies

Knowledge of data science or spatial analysis and how it is used for problem solving and uncovering patterns and trends within organizations * Master's degree in GIS, business administration, or a ...

General knowledge of data science or spatial analysis and how it is used for problem solving and uncovering patterns and trends within organizations * Knowledge of industry fiscal year, budgeting ...

New

Showing results 41-60

Spatial Data Science information

See Philadelphia, PA salary details

$44.9K

$130.9K

$179.1K

How much do spatial data science jobs pay per year?

As of Aug 20, 2026, the average yearly pay for spatial data science in Philadelphia, PA is $130,895.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,500.00 and $138,700.00 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 Philadelphia, PA?

For Spatial Data Science jobs in Philadelphia, PA, the most frequently searched job titles are:

What job categories do people searching Spatial Data Science jobs in Philadelphia, PA look for?

The top searched job categories for Spatial Data Science jobs in Philadelphia, PA are:

What cities near Philadelphia, PA are hiring for Spatial Data Science jobs?

Cities near Philadelphia, PA with the most Spatial Data Science job openings:

Infographic showing various Spatial Data Science job openings in Philadelphia, PA as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $130,895 per year, or $62.9 per hour.

Sales Team Lead - Commercial (Enterprise Accounts)

Esri

Philadelphia, PA

Full-time

Re-posted 24 days ago


Esri rating

9.6

Company rating: 9.6 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

7th of 245 rated software companies


Job description

Overview

At Esri, our team leads are part of a highly skilled team that promotes and sells the adoption of Esri technology. We invite you to use your coaching and team-building skills as well as your experience with geospatial technology to become an integral part of the commercial enterprise account team. We are looking for an individual who inspires and motivates others and who enjoys implementing strategies that will radically improve the challenges businesses face. You will lead a team that helps new and existing customers optimize and expand adoption of Esri technology, identify new areas of growth, and share expertise that helps deliver on their mission.

Responsibilities

  • Empower your team. Manage the sales activities of your team by strategically leading all stages of the enterprise account management process. Mentor your team through active coaching, clear direction, and regular feedback. Cultivate a virtual team to support sales objectives and generate results.
  • Build relationships. Prospect, develop, and implement location strategies for large, complex organizations. Create and lead opportunities within high-level lines of business. Participate and present at trade shows, workshops, and seminars.
  • Understand our customers. Use your advanced Hi-Tech, Media & Entertainment, Consumer Goods & Services, Insurance and Financial Services industry knowledge and its relevance to the application of GIS (Geographic Information System) to clearly articulate the strength and value of Esri technology. Identify key stakeholders within organizations and gain access to executive, enterprise-level decision makers. Understand complex customer budgeting and acquisition processes.
  • Be an expert. Demonstrate expert knowledge of ArcGIS and its value propositions within the infrastructure industry. Consistently conduct research and pursue professional development to ensure competitive knowledge. Expertly plan and prepare negotiations with customers.
  • Deliver Results. Successfully execute the sales cycle to close new opportunities to meet sector goals. Work creatively to develop solutions that help customers reach their goals and initiatives. Use your innovative whiteboarding and presentation skills to support visual storytelling.

Requirements

  • 8+ years of enterprise sales and/or relevant consulting or program management experience
  • 3+ years of experience mentoring, motivating, and coaching on a team
  • Able to build compelling account growth strategies
  • Advanced knowledge of the Hi-Tech, Media & Entertainment, Consumer Goods & Services, or Insurance and Financial Services industry and new technology trends, and the ability to translate this into complex solutions for customers
  • Deep understanding of GIS and Esri technology
  • Expert visual storyteller and negotiator across all levels of an organization
  • Knowledge of the fiscal year, budgeting, and procurement cycles
  • Ability to travel domestically or internationally up to 50%
  • Bachelor's degree in GIS, surveying, engineering, business administration, or a related field
  • Visa sponsorship is not available for this posting. Applicants must be authorized to work for any employer in the U.S.

Recommended Qualifications

  • Knowledge of data science or spatial analysis and how it is used for problem solving and uncovering patterns and trends within organizations
  • Master's degree in GIS, business administration, or a related field

Questions about our interview process? We have answers.

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About ESRI

Sourced by ZipRecruiter

Our passion for improving quality of life through geography is at the heart of everything we do. Esri's geographic information system (GIS) technology inspires and enables governments, universities, and businesses worldwide to save money, lives, and our environment through a deeper understanding of the changing world around them.

Industry

Scientific research and development services

Company size

1,001 - 5,000 Employees

Headquarters location

Redlands, CA, US

Year founded

1969