Data Scientist II

Redlands, CO - USA

Monthly Salary: Not Disclosed

Posted on: 7 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 II 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.

Responsibilities

Consult closely with customers to understand their needs and serve as Esris 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

2 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
Bachelors degree in mathematics statistics computer science physics or a related field

Recommended Qualifications

Masters degree 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

Required Experience:

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...

Overview

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 Esris 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

2 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
Bachelors degree in mathematics statistics computer science physics or a related field

Recommended Qualifications

Masters degree 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

Required Experience:

Key Skills

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

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About Company

Esri

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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