Data Scientist

at  Corsearch

Do you get excited when hearing about trademarks and brand protection news? YES?! So do we! At Corsearch, there’s no pushing trademark solutions and brand protection from our thoughts. We’re thinking about coined trademarks in the car, a detailed design search over lunch, counterfeits while sitting with the in-laws, and anti-piracy while working out
We are a mission-led company, driven by a passion for making the world better and safer for our brand customers and their consumers. It’s what we do. And people come to Corsearch to be challenged, developed, supported, and valued

THE ROLE

AI team is responsible for researching, designing, implementing and optimizing cutting edge data science solutions in fields like image tech, NLP or fraud. We’re looking at different methodologies/models and validate them to find the most promising solution to our actual problems.
As a Data Scientist - working in the AI team - you will be involved in projects of different products lines/business area. As NLP data scientist you’ll be responsible to apply SOTA (state of the art) NLP models to our problems including, but not limited to handling orthographic / semantic / phonetic representations for similarity scoring. Additionally you’ll be researching / applying computer linguistic based search/retrieval algorithms as well.
Learn more about our Data Science org, and wider business here

RESPONSIBILITIES AND DUTIES

• Research and implement NLP based solutions in online brand protection and trademark business line
• Try different SOTA models for topics like text similarity / search
• Work closely with subject matter experts to validate results and share knowledge about the used methodology
• Take care of the continuously increasing training/test datasets, verify consistency, offer solution for revisiting labeling issues
• Implement the solution based on continuous training principle as user feedbacks and expert reports are available
• Think creatively about the implemented solutions, advise new features or tools, innovate
• Collaborate with other Data Scientists to share knowledge and continuously improve NLP solutions
• Take part in other machine learning projects utilizing your experiments and general understanding of deep learning principles