Sr. Data Scientist

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 Sr. 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.

Responsibilities

• Consult closely with customers to understand their needs and serve as Esri's sole representative
• Scope projects, communicate uncertainties and risks, and accurately estimate delivery times
• Develop and pitch data science solutions that map business problems to advanced analytics approaches
• Serve as a subject matter expert for internal stakeholders
• Write production-level code for data analysis and process automation
• Build high-quality analytics systems employing techniques from data mining, statistics, and machine learning
• Perform feature engineering, model selection, and hyperparameter optimization to achieve high predictive accuracy
• Deploy models to production environments and assist customers in troubleshooting implementations
• Implement best practices for geospatial machine learning and develop reusable technical components for demonstrations and rapid prototyping
• Design and implement generative AI solutions and agentic systems to enhance customer workflows and automate complex geospatial tasks
• Stay updated with the latest trends in machine learning, deep learning, and AI, and incorporate them into project delivery
• Quickly become proficient in unfamiliar fields to address diverse customer needs

Requirements

• 5+ years of practical machine learning experience or relevant academic/lab work
• Hands-on relevant experience in generative AI, large language models, and agentic systems
• Exemplify tenacity, determination, creativity, curiosity, and independence in problem-solving
• Ability to learn new concepts quickly and implement new technologies rapidly
• Flexibility to adapt to diverse customer solutions in a rapidly evolving technical landscape
• Experience working with non-technical stakeholders in multiple domains
• Proficiency in building and optimizing supervised and unsupervised machine learning models, including deep learning techniques
• Fundamental understanding of mathematical and machine learning concepts
• Applied statistics experience
• Expertise in developing machine learning solutions, preferably in Python
• Proficiency in data extraction, transformation, and loading between various systems
• Ability to produce compelling data visualizations to convey results
• Strong communication skills, including the ability to explain technical concepts to non-technical audiences
• Capability to manage multiple projects simultaneously
• Bachelor's in mathematics, statistics, computer science, physics, or a related field

Recommended Qualifications

• Master's or PhD in mathematics, statistics, computer science, physics, or a related field
• Experience with spatial and GIS concepts, preferably using Esri software
• Familiarity with Git, ML libraries such as PyTorch and TensorFlow, and transformers-based large language models (LLMs)
• Experience handling large-scale batch/streaming data with big data tools like Apache Spark
• Experience with cloud services (AWS, Azure, and more)

#LI-MN1

#LI-HYBRID

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