Principal Data Scientist, Corsearch

• PhD or MSc degree in Computer Science, Mathematics, Artificial Intelligence or related field
• Extensive experience in researching/building data science applications, with proven experience in a leadership role
• Expertise in working with development using deep learning vision models both CNN and Vision Transformer based models, fine-tuning, transfer learning for all vision tasks such as image classification, object detection etc
• Working with image similarity, recommendation systems based on images. Hands on experience with latest Vision Language models such as LLAVA, Phi3 vision, Qwen etc and multi-modal models such as Open CLIP etc is a plus
• Proficient with deep learning frameworks such as PyTorch and Tensorflow
• Dealing with large scale noisy data, learning from few labels, GPU based inference optimizations
• GPU-backed modelling/inference
• Proficient programming skills in a high-level DS languages (python, R)
• Cloud architectures (AWS, GCP, Kaggle, etc.)
• Relational databases, noSQL, in-memory database technologies, graph processing (Elasticsearch, MongoDB, Redis)
• Exceptional problem-solving skills and the ability to work with complex datasets
• Proven ability to lead and inspire a team, manage multiple projects, and drive strategic initiatives
• Excellent verbal and written communication skills, with the ability to convey technical information to non-technical audiences

Desirable

• Corsearch is expanding its AI team and is looking for a Principal Data Scientist to take the lead on R&D and customer innovation in our Trademark services
• This role will lead a team of three Data Scientists / Machine Learning engineers
• The Principal Data Scientist will be the accountable owner for AI and Data Science solutions for Trademark Solutions, working closely with the VP of Engineering and the VP of Innovation who are also based in the Helsinki office, and the VP of Product who is based remotely
• Define and drive the data science strategy for Trademark Solutions, aligned with business goals and objectives
• Identify opportunities for leveraging data to drive business growth and innovation
• Lead data science projects from ideation through to implementation and evaluation
• Collaborate with cross-functional teams to ensure successful project delivery
• Develop and deploy sophisticated machine learning models and algorithms to solve business problems
• Conduct exploratory data analysis to identify trends, patterns, and insights
• Work closely with subject matter experts to validate results and share knowledge about the used methodology
• Lead a team of 3-4 data scientists and actively manage R&D projects on the roadmap
• Mentor and guide junior data scientists, fostering a culture of continuous learning and development
• Provide technical leadership and support to the data science team
• Communicate complex data findings to non-technical stakeholders through compelling visualisations and presentations
• Collaborate with senior leadership to align data initiatives with business strategy
• Proactively engage with stakeholders in Product and Operations teams to ensure successful project delivery
• Stay current with the latest advancements in data science, machine learning, and artificial intelligence
• Experiment with new tools, technologies, and methodologies to continually enhance data science capabilities
• Try different approaches to achieve optimal performance and accuracy
• Follow agile practices and facilitate team events, like knowledge sharing, code review and brainstorming sessions
• Develop metrics and KPIs to measure the effectiveness of data science initiatives
• Maintain training and testing data, monitor performance and consistency of models in production and ensure models are appropriately maintained
• Regularly report on project progress, outcomes, and insights to stakeholders

• We usually respond within three days