Related skills
python machine learning statistics gis large language modelsπ Description
- Consult with customers to understand needs and act as Esri's primary representative
- Scope projects, identify risks, and estimate delivery times accurately
- Develop and pitch data science solutions mapping business problems to analytics
- Serve as a subject matter expert for internal stakeholders
- Write production-ready code for data analysis and automation
- Build analytics systems using data mining, statistics, and machine learning
π― 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
- Proficiency in building and optimizing supervised and unsupervised ML models, including deep learning
- Bachelor's degree in mathematics, statistics, computer science, physics, or a related field
- Expertise in developing machine learning solutions, preferably in Python
- Proficiency in data extraction, transformation, and loading between various systems
π Benefits
- Base salary range: 72,800 USD β 135,000 USD
- Medical, dental, vision benefits; 401(k); vacation and holidays
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