ML Engineer / Data Scientist

Work Type: Full Time

About Candor Health

Candor Health is a healthcare intelligence platform that is powering companies with high quality, transparent, and actionable data in the US on doctors, facilities, insurance plans, costs, and more. We believe that providing higher quality, transparent data not only leads to better decisions, but creates greater trust and confidence for the entire healthcare ecosystem. We are getting data from a variety of growing sources including certification boards, booking sites, claims, social media, and others, with human and automated verification. We have built a high quality data set that has been baked off favorably against other healthcare data vendors, including public companies and startups that have been compiling healthcare data for many years. We are backed by some of the most prominent VCs and angels in healthcare who have a track record of building very successful technology companies.

Life at Candor

At Candor, everyone is a leader. The areas you own are yours to build and progress. Best ideas win! We value a culture where the team not only enjoys working together solving some of the biggest data challenges in the healthcare industry, but also has fun doing it. Building a great company is hard work but work-life balance is also important.


  • Apply ML algorithms and concepts to solve critical data challenges in the healthcare ecosystem

  • Design machine learning systems and pipelines from scratch

  • Fine-tune and optimize training models to continuously improve data quality 

  • Research and stay up-to-date on the most recent ML algorithms and tools

  • Be able to relay key findings and insights to stakeholders using easy to understand diagrams and other visuals

  • Proactive attitude on raising problems and providing solutions


  • Bachelor/Master degree in Engineering, Computer Science or relevant field

  • Experience as a Machine Learning Engineer or similar role

  • Good programming experience in Python or other programming languages fit for ML

  • Experience in building, deploying, and improving Machine Learning models and algorithms in real-world products

  • Knowledge of linear algebra, probability, statistics and algorithms

  • Experience in Artificial Intelligence, Machine Learning (ML) models, ML infrastructure, Natural Language Processing or Deep Learning

  • Experience in data visualization using tools like Tableau or others to relay product insights

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