Sobre esta vaga de Product Engineer I - Spatial Analysis & Data Science na Esri
Overview
Are you excited by the challenge of developing tools and technology to uncover patterns, relationships, and trends in spatial and spatiotemporal data? Do you love turning messy, real-world questions into clear, trustworthy analysis? Join the Spatial Statistics team and help build the next generation of analytical tools and capabilities in ArcGIS.
As a Product Engineer on the Spatial Statistics team, you'll work closely with software developers, researchers, product managers, and users to design, test, and deliver analytical tools that help people understand where things happen, why they happen, and what may happen next. You'll translate user needs into powerful analytical workflows, define product requirements, and help deliver production-ready software that is thoroughly tested and documented. If you're curious, collaborative, and passionate about solving real-world problems with spatial analysis, we'd love to hear from you.
Responsibilities
- Research, design, test, and document new spatial statistics and spatial data science tools in ArcGIS
- Collaborate with users to understand analytical challenges and translate them into product requirements and software capabilities
- Validate analytical methods and ensure tools produce reliable, interpretable, and trustworthy results
- Develop sample datasets, documentation, tutorials, and educational material to support user success
- Research emerging approaches in spatial analysis, statistics, machine learning, and GeoAI and evaluate their application within ArcGIS
- Work closely with developers, designers, and product teams to create and ship high quality software in an agile environment
- Support user adoption through documentation, presentations, demonstrations, conferences, and engagement with the GIS community
Requirements
- 1 year of experience with ArcGIS Pro, including spatial analysis, geoprocessing, and data management
- Strong understanding of GIS concepts and spatial analytical methods
- Demonstrated experience with at least one programming language such as Python, R, C#, or JavaScript
- Strong problem solving skills with the ability to evaluate analytical workflows and interpret results
- Excellent written and verbal communication skills
- Ability to work collaboratively in a highly interactive and cross-functional team environment
- Bachelor's degree in GIS, geography, spatial data science, statistics, computer science, engineering, environmental sciences, urban planning or a related field
Recommended Qualifications
- Experience with spatial statistics, predictive modeling, machine learning, or GeoAI
- Experience translating user needs into product requirements, software designs, or analytical workflows
- Experience creating technical documentation, tutorials, training materials, or conference presentations
- Familiarity with scientific methods, quantitative analysis, and reproducible research practices
- Master's or PhD in GIS, geography, spatial data science, statistics, computer science, engineering, environmental sciences, urban planning, or a related field
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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.
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 [email protected] 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.
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