Data Scientist II

esources, defense, commercial industries, public transportation, utilities, and governmental entities in over 160 countries.

Responsibilities

• Consult closely with customers to understand their needs
• Develop and pitch data science solutions that map business problems to 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

• 2+ years of hands-on machine learning experience, including building and evaluating supervised and unsupervised models (academic research or industry)
• Proficiency in Python for data science workflows, including data wrangling, exploratory analysis, and model development
• Solid foundation in statistics and the mathematical concepts underlying machine learning algorithms
• Experience with data extraction, transformation, and loading (ETL) across diverse data sources and systems
• Ability to produce clear data visualizations that communicate analytical results to stakeholders
• Strong communication skills, with demonstrated ability to explain technical concepts to non-technical audiences and collaborate across organizational boundaries
• Experience managing multiple concurrent projects with competing priorities
• Visa sponsorship is not available for this posting. Applicants must be authorized to work for any employer in the US.
• Bachelor's degree in mathematics, statistics, computer science, physics, or a related quantitative field

Recommended Qualifications

• Master's degree or PhD in mathematics, statistics, computer science, physics, or a related field
• Experience with spatial data, GIS concepts, or geospatial analytics, preferably using Esri software
• Familiarity with generative AI concepts, large language models, or agentic AI frameworks, including prompt design and evaluation of model outputs
• Experience with deep learning frameworks such as PyTorch or TensorFlow
• Proficiency with version control (Git) and collaborative development workflows
• Experience handling large-scale batch or streaming data with tools like Apache Spark
• Experience deploying data science or AI workloads on cloud platforms (AWS, Azure, or GCP).

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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.

A reasonable estimate of the base salary range is

$72,800-$135,200 USD

About Esri

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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