Overview
Are you passionate about changing the world through machine learning and location intelligence? Join Esri as we leverage the IoT revolution and explosive growth of location data to help organizations extract advanced intelligence, predict significant events, and automate work processes using AI and machine learning.
We're seeking a Data Scientist who combines technical expertise with strong interpersonal skills to collaborate directly with customers, understand their unique challenges, and develop data-driven solutions that integrate seamlessly with GIS workflows. While prior GIS experience is not required, you'll work closely with GIS experts and gain valuable knowledge in spatial data analytics.
We serve customers across diverse domains including natural resources, defense, commercial industries, public transportation, utilities, and governmental entities in over 160+ countries.
Esri has a Relocation Assistance Program and can provide support with relocating to the St. Louis, MO area for this position.
Responsibilities
- Consult closely with customers to understand their needs
- Develop and pitch data science solutions by mapping business problems to machine learning or other advanced analytics approaches
- Build high-quality analytics systems that solve our customers' business problems using techniques from data mining, statistics, and machine learning
- Write clean, collaborative, and version-controlled code to process big data and streaming data from a variety of sources and types
- Perform feature engineering, model selection, and hyperparameter optimization to yield high predictive accuracy and deploy the model to production in a cloud, on-premises, or hybrid environment
- Implement best practices and patterns for geospatial machine learning and develop reusable technical components for demonstrations and rapid prototyping
- Keep up to date with the latest technology trends in machine and deep learning and incorporate them in project delivery
Requirements
- 1+ years of professional experience in a similar position, supporting similar responsibilities
- Professional experience with practical machine learning experience or relevant academic/lab work
- Hands-on relevant experience in generative AI, large language models, and/or agentic systems
- Fundamental understanding of mathematical and machine learning concepts
- Applied statistics experience
- Experience developing machine learning solutions, preferably in Python
- Ability to produce compelling data visualizations to convey results
- Strong communication skills, including the ability to explain technical concepts to non-technical audiences
- US citizenship and willingness and ability to maintain a US Security Clearance
- Bachelor's degree in mathematics, statistics, computer science, physics, or a STEM related field
Recommended Qualifications
- Experience with spatial and GIS concepts, preferably using Esri software
- Master's degree in mathematics, statistics, computer science, physics, or a STEM 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.
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.
Top Skills
What We Do
As a leading location intelligence platform provider (Forrester Wave 2020), Esri empowers leaders with innovative tools to help create sustainable prosperity. Esri's customers drive digital transformation by embracing the power of location.
We pioneer problem solving with GIS to help you see what others can’t.
We build ArcGIS, the world’s most powerful mapping & spatial analytics software. ArcGIS software and apps combine mapping and data analytics to deliver location intelligence and meet digital transformation needs for organizations of all sizes.
