Data Scientist I

Esri

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profile Job Location:

St. Louis, MO - USA

profile Monthly Salary: Not Disclosed
Posted on: 16 hours ago
Vacancies: 1 Vacancy

Job Summary

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.

Were 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 youll 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
  • Bachelors degree in mathematics statistics computer science physics or a STEM related field

Recommended Qualifications

  • Experience with spatial and GIS concepts preferably using Esri software
  • Masters degree in mathematics statistics computer science physics or a STEM related field

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Required Experience:

IC

OverviewAre 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...
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Key Skills

  • Laboratory Experience
  • Immunoassays
  • Machine Learning
  • Biochemistry
  • Assays
  • Research Experience
  • Spectroscopy
  • Research & Development
  • cGMP
  • Cell Culture
  • Molecular Biology
  • Data Analysis Skills

About Company

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At Esri, we bring meaning to maps. We pioneer problem solving using geographic information systems (GIS) and believe The Science of Where® can transform the world by unlocking data’s full potential in every organization. Our mapping and analytics software, ArcGIS, connects everyone, e ... View more

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