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Mid LevelFull-timePythonAWSAzureMachine LearningData ScienceTensorFlowPyTorchGitAIML
Salary Range
$80,750 - $109,250 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for a Data Scientist to join Esri and leverage machine learning and location intelligence to help organizations extract advanced intelligence and automate work processes. This role involves collaborating with customers to develop data-driven solutions that integrate with GIS workflows.
Key Responsibilities
- →Consult with customers to understand their needs and serve as Esri's representative
- →Scope projects and communicate uncertainties and risks
- →Develop and pitch data science solutions
- →Serve as a subject matter expert for internal stakeholders
- →Write production-level code for data analysis and process automation
- →Build analytics systems using data mining, statistics, and machine learning
- →Perform feature engineering and model selection
- →Deploy models to production environments
- →Implement best practices for geospatial machine learning
- →Design and implement generative AI solutions
- →Stay updated with the latest trends in machine learning and AI
Requirements
- ✓2+ years of practical machine learning experience
- ✓Experience in generative AI, large language models, and agentic systems
- ✓Strong problem-solving skills
- ✓Ability to learn new concepts quickly
- ✓Experience working with non-technical stakeholders
- ✓Proficiency in building and optimizing machine learning models
- ✓Fundamental understanding of mathematical and machine learning concepts
- ✓Applied statistics experience
- ✓Expertise in developing machine learning solutions in Python
- ✓Proficiency in data extraction, transformation, and loading
- ✓Ability to produce compelling data visualizations
- ✓Strong communication skills
- ✓Capability to manage multiple projects simultaneously
- ✓Bachelor's degree in mathematics, statistics, computer science, physics, or a related field
Benefits
- ★Competitive salary and equity
- ★Medical, dental, and vision insurance
- ★Life insurance
- ★401(k) and profit-sharing programs
- ★Vacation leave and paid holidays
- ★Opportunities for personal and professional growth
