Esri

4 weeks ago

Data Scientist I

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 5 hours agoStatus: Live

Job Summary

Data Scientist I at Esri focused on applying machine learning and geospatial analytics to real customer problems. Collaborates with customers, develops data-driven solutions for GIS workflows, builds scalable analytics systems, and deploys models in cloud, on-premises, or hybrid environments. Emphasizes hands-on ML, generative AI, and strong communication in a global, cross-disciplinary setting.

Location: St. Louis

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Entry level

Key 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.

Pay and Benefits

Salary: USD 70,304 - 110,240 annually

Perks:Health InsuranceDentalVision401kProfit SharingPaid LeavePaid HolidaysLearning Budget

Key Requirements

•1+ years of professional experience in a similar position.
•Practical machine learning experience or relevant academic/lab work.
•Hands-on experience in generative AI, large language models, and/or agentic systems.
•Fundamental understanding of mathematical and machine learning concepts.
•Applied statistics experience and experience developing ML solutions, preferably in Python.

Experience:1+ yearsGISLocation intelligenceGeospatial

Education:Bachelor's

Skills:CommunicationInterpersonal skillsCollaboration

Languages:English

Tech Stack:PythonMachine learningGISSpatial data analyticsCloudOn-premises

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Security Clearance:US Security Clearance

Company Brief

Esri

Provides geographic information system (GIS) software, location intelligence, mapping tools, and spatial analytics to governments, businesses, and researchers for visualizing, analyzing, and managing geographic data.

Industry: Enterprise Software

Company Size: Enterprise (1,001+ employees)

Growth: Established Company

Headquarters: Redlands, United States

Founded: 1969

Glassdoor: 4.1

Website LinkedIn

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Esri

4 weeks ago

Data Scientist I

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 5 hours agoStatus: Live

Job Summary

Location: St. Louis

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Entry level

Key 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.

Pay and Benefits

Salary: USD 70,304 - 110,240 annually

Perks:Health InsuranceDentalVision401kProfit SharingPaid LeavePaid HolidaysLearning Budget

Key Requirements

•1+ years of professional experience in a similar position.
•Practical machine learning experience or relevant academic/lab work.
•Hands-on experience in generative AI, large language models, and/or agentic systems.
•Fundamental understanding of mathematical and machine learning concepts.
•Applied statistics experience and experience developing ML solutions, preferably in Python.

Experience:1+ yearsGISLocation intelligenceGeospatial

Education:Bachelor's

Skills:CommunicationInterpersonal skillsCollaboration

Languages:English

Tech Stack:PythonMachine learningGISSpatial data analyticsCloudOn-premises

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Security Clearance:US Security Clearance

Company Brief

Esri

Industry: Enterprise Software

Company Size: Enterprise (1,001+ employees)

Growth: Established Company

Headquarters: Redlands, United States

Founded: 1969

Glassdoor: 4.1

Website LinkedIn