Senior Data Scientist, Qantev

• 5+ years of experience as a Data Scientist, Deep Learning, or Machine Learning Engineer - prior experience working in the healthcare industry is a strong plus (Document AI, Medical Coding, Fraud, Waste and Abuse detection)
• Strong communication and presentation skills: you have the ability to convey complex concepts to non-technical audiences
• Deep curiosity about the new advancements on AI, up to date with the SOTA
• Experience in delivering and maintaining models in production
• Very good coding skills in Python
• Fluency in English

Desirable

• As a Data Scientist, you will harness the power of data to develop and refine machine learning models that drive our cutting-edge AI solutions
• Your work will be crucial in transforming complex data into actionable insights, enabling us to build advanced algorithms and optimize our AI products
• Collaborating closely with engineers and product teams, you will help shape our data-driven strategies and accelerate our growth
• Lead project delivery on data science aspect
• Participate in client meetings and workshops around data science deployment projects
• Scope clients needs and feedback and translating them to achievable data science tasks
• Manage data science team to ensure timely delivery of the project
• Learn about health data and healthcare insurance dynamics
• Improve OCR and NLP pipelines deployed on insurance claims data
• Enhance fraud detection machine learning models
• Explore and analyze big and challenging datasets
• Scale proprietary patient journey optimizer based on state-of-the-art optimal transport
• Supervise the implementation and optimization of associated algorithms
• Integrate this in our python/pytorch/react/postgresql/django stack

• Interview with the Talent Acquisition Leader
• Interview with Data Scientist Lead
• Technical Interview
• Technical Interview 1 - Data Science & Algorithms
• Technical Interview 2 - Quantitative Modelling
• Interview with the CTO