Overview
Do you have a strong analytical foundation and a proven ability to turn complex data into practical solutions?
Join Esri's Professional Services team as a Data Scientist II and help customers solve real-world business challenges through spatial data science and the ArcGIS platform. Working directly with customers and project teams, you will design and implement ArcGIS-centered solutions that combine geospatial analysis, advanced analytics, statistics, and software development to deliver actionable insight and operational value.
Our team specializes in spatial statistics, forecasting, market and demographic analysis, graph analytics, network analysis, and large-scale geospatial analytics. We leverage the full ArcGIS ecosystem, including out-of-the-box capabilities, extensions, configurable workflows, and custom applications, to deliver scalable solutions. Machine learning, deep learning, computer vision, and generative AI are valuable tools that we apply when appropriate, but they are part of a broader analytical toolkit rather than the primary focus of our work.
We're looking for a data scientist who can select the right analytical approach for each challenge and integrate advanced methods into practical ArcGIS-based solutions. If you enjoy solving complex problems, working directly with customers, and helping organizations make better decisions through spatial data science, we'd love to hear from you.
Esri has a Relocation Assistance Program and can provide support with relocating to the Denver, CO area for this position.
Responsibilities
Work directly with customers to understand business objectives, workflows, and analytical requirements
Design and implement ArcGIS-centered solutions using ArcGIS Pro, ArcGIS Enterprise, ArcGIS Online, ArcGIS Knowledge, Business Analyst, GeoAnalytics, and related capabilities
Apply spatial statistics, machine learning, forecasting, graph analytics, network analysis, market analysis, and other advanced analytical methods to solve customer problems
Configure and extend ArcGIS capabilities through Python, notebooks, APIs, and custom applications
Develop data processing pipelines and analytical workflows that integrate spatial and nonspatial data from a variety of sources
Build reusable tools, applications, and solution accelerators that help customers operationalize analytical results
Create maps, dashboards, reports, and visualizations that communicate findings and support decision-making
Collaborate with GIS professionals, data engineers, software developers, solution architects, and project managers to deliver successful customer outcomes
Evaluate emerging analytical techniques and technologies and apply them appropriately within ArcGIS-based solutions
Requirements
2+ years of professional experience in data science, analytics, GIS, or a related technical field
Strong foundation in statistics, mathematics, and analytical problem solving
Experience developing analytical workflows using Python
Experience working with ArcGIS software or other geospatial technologies
Experience preparing, analyzing, and visualizing real-world datasets
Ability to communicate technical concepts and analytical findings to technical and nontechnical audiences
Ability to work effectively with customers and cross-functional project teams
Bachelor's degree in data science, statistics, mathematics, computer science, geography, economics, engineering, or a related quantitative field
Recommended Qualifications
Master's degree in mathematics, statistics, computer science, physics, or a STEM related field
Experience with one or more of the following:
ArcGIS Pro, ArcGIS Enterprise, ArcGIS Online, ArcGIS Knowledge, GeoAnalytics, Business Analyst, Spatial Analyst, Network Analyst, or related ArcGIS technologies
Spatial statistics and geospatial analytics
Time series analysis and forecasting
Market, demographic, and customer analytics
Graph analytics, knowledge graphs, or network science
Big data and distributed analytics
Cloud-native analytics platforms
Custom application development, automation, and APIs
Deep learning, computer vision, generative AI, or large language models
Total Rewards
Esri's competitive total rewards strategy includes industry-leading health and welfare benefits: medical, dental, vision, basic and supplemental life insurance for employees (and their families), 401(k) and profit-sharing programs, minimum accrual of 80 hours of vacation leave, twelve paid holidays throughout the calendar year, and opportunities for personal and professional growth. Base salary is one component of our total rewards strategy. Compensation decisions and the base range for this role take into account many factors including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.
A reasonable estimate of the base salary range is
$72,800
$135,200 USD
The Company
At Esri, diversity is more than just a word on a map. When employees of different experiences, perspectives, backgrounds, and cultures come together, we are more innovative and ultimately a better place to work. We believe in having a diverse workforce that is unified under our mission of creating positive global change. We understand that diversity, equity, and inclusion is not a destination but an ongoing process. We are committed to the continuation of learning, growing, and changing our workplace so every employee can contribute to their life's best work. Our commitment to these principles extends to the global communities we serve by creating positive change with GIS technology. For more information on Esri's Racial Equity and Social Justice initiatives, please visit our website here.
If you don't meet all of the preferred qualifications for this position, we encourage you to still apply!
Esri is an equal opportunity employer (EOE) and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need reasonable accommodation for any part of the employment process, please email askcareers@esri.com and let us know the nature of your request and your contact information. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this e-mail address.
Esri Privacy Esri takes our responsibility to protect your privacy seriously. We are committed to respecting your privacy by providing transparency in how we acquire and use your information, giving you control of your information and preferences, and holding ourselves to the highest national and international standards, including CCPA and GDPR compliance.
Esri is an equal opportunity employer (EOE) and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.
Apply at: https://ipc.us/t/8ED4A0AB434E48FE.
