Jobs and Careers
OM
IP Data Scientist
OMNIVISIONSanta Clara, United Statesfull_timeVerifiedPosted 28 May 2025
💰 $150,000/yr($148,699/yr – $150,000/yr)
About the role
- Perform data cleaning and ensure the accuracy and quality of data within the Intellectual Property databases.
- Design various utility scripts in R and Python for model analysis.
- Utilize tools such as Tableau and PowerBI to visualize data, presenting findings as charts, maps, and other graphics.
- Communicate data insights effectively to the IP team, managers, and executives through reports and presentations.
- Collect data from IP docketing system. Analyze docketing data to identify trends, patterns, and opportunities for process optimization to improve patent and trademark prosecution efficiency.
- Collect and categorize data from annuity payment system, generate data reports, and analyze reports to facilitate expense saving.
- Perform patent award data analysis. Analyze and benchmark industry’s award to improve invention disclosures from various engineering functions.
- Conduct patent & trademark prosecution expenses analysis and identify areas for improvements inside IP team and/or outside (US and non US) patent & trademark law firms.
- Lead internal coordination efforts to compile and provide "proof of use" evidence for company trademarks in collaboration with external law firms (US and non US).
- Conduct aged issued patent analysis and their possible applications to image sensor products.
- Develop summarization algorithms to support patent analysis.
- Participate in reviewing Invention Disclosure Forms (IDFs).
- Offer insights to motivate engineer, enhancing IDF submission numbers.
- Effectively present technical insights to the patent committee with engineer, aiding in the clear articulation of new inventions.
- Demonstrated knowledge of study designs and statistical analysis conventions.
- Analyzing data to answer business questions.
- Presenting and reporting analysis result with visualization tools, such as Tableau and Excel.
- Proficiency in Python and familiarity with machine learning tasks.
- Schema design and dimensional data modeling.
- Familiarity with algorithm design for modeling and analytics.
- Software applications with computer vision techniques, motion sensor, and statistical analysis methods.
- Ensuring the accuracy, quality, and integrity of data.
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