- Sunnyvale, California, United States
- On-site
- Full-time · Staff
- 5–7 years
As a Staff Data Scientist, you will architect machine learning solutions for complex and ambiguous business problems, perform hands-on data exploration, processing, and analysis on massive datasets, and leverage state-of-the-art machine learning, deep learning, data mining, and GenAI techniques to develop scalable predictive models.
Responsibilities
- Identify and source relevant data from multiple business domains and databases to support analytics initiatives
- Perform data quality assessments and ensure data integrity for accurate model development
- Develop, validate, and tune predictive models using advanced statistical, machine learning, deep learning, LLM techniques
- Design and implement data visualizations to effectively communicate insights to stakeholders
- Collaborate with cross-functional teams to translate business requirements into data-driven solutions
Requirements
- Ph.D. in Computer Science, Data Science, Statistics, Machine Learning, Artificial Intelligence, Mathematics, or a related quantitative field
- Master's degree in a related quantitative discipline
- Nice to have: Optimization models
- Nice to have: PhD in Machine Learning
- Nice to have: PhD in Computer Science