About the role 🚀

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.

What you will do 👊

As a member of the Data Science team, alongside our technical experts, you will get an opportunity to:

• 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

REQUIREMENTS

• 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 .

Bonus skills 🤩

• German Fluency

• Experience in exploring and implementing research papers

• 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