Staff Data Scientist, Global Patents

• Drive the implementation of patent AI transformation initiatives focusing on patent prosecution and patent transaction use cases.
  
• Apply patent and AI expertise to support patent engagement with the academic community and various patent offices on empirical patent and innovation studies and advise on AI implementations.
• Work with public patent data, internal data and tool stack to create custom AI solutions to support patent portfolio strategy, development, quality reviews and other patent workflows.
• Leverage patent expertise to develop internal patent transactions specific solutions to review third-party patent and licensing inquiries.
• Collaborate with outside counsel, internal legal team members, dedicated patent specialist vendors to achieve scaled impact.

Minimum qualifications:

• Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience.
• 7 years of experience working with patent data in a corporate or law firm environment.
• 7 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis.
• Experience working with a national patent offices or academic institutions studying patent strategy, policy, and innovation economics using data science and AI.

Preferred qualifications:

• 9 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis.
• 9 years of experience in Natural Language Processing (NLP), Large Language Models (LLMs), semantic search, or knowledge graph extraction.
• 9 years of experience working specifically with legal, technical, or patent datasets, including familiarity with patent taxonomies, citation networks, and prior art search methodologies.

• Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience.
• 7 years of experience working with patent data in a corporate or law firm environment.
• 7 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis.
• Experience working with a national patent offices or academic institutions studying patent strategy, policy, and innovation economics using data science and AI.