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 RewardsEsri'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
$70,304-$110,240 USD
