Data Scientist x 4

Job Description

Help build technology that saves lives!


Our client is a fast-growing healthcare technology company that uses sophisticated optimization, simulation, and machine learning to make healthcare providers more efficient.

  • Their technology opens capacity at many of the best US hospitals (Stanford, UCSF, Duke, etc.), so that more patients can receive the best care on the planet
  • Leadership includes a senior partner from McKinsey and Google executives 
  • A market leader in their space
  • Recently raised the last $40M tranche of our Series C from Goldman Sachs bringing the investment total to $110M
  • Top 100 AI companies in the world

    You will: 

  • Work in a small data science team imbedded into one of four product verticals
  • Make sense of complex electronic health record (EHR) data related to surgeries, doctors, patients, etc. and help derive greater value from data
  • Enhance simulation, optimization, and prediction capabilities
  • Own your projects end-to-end including a technology stack, data consumption, modeling, algorithm development and evaluation, and production deployment
  • Wear a product hat to ideate and iterate on features and experiences that allow your users to run hospitals like a clock
  • Meet with customers to get their feedback on your services and seek to improve them


Who you are:


  • You have an advanced degree in operations research, machine learning, or a related field and 2+ years of relevant industry or academic experience
  • You have strong analytical and problem solving skills and a deep understanding in at least one sub-area of operations research or machine learning
  • You write clean Python and SQL code
  • You collaborate with cross-functional species like product managers, data engineers, and data analysts
  • You communicate complex quantitative matters in a clear, precise, and actionable manner 
  • You have a great sense of ownership and attention to detail

If you'd like to apply for this position, please fill in the form and a member of our team will contact you shortly or call us directly on

0161 960 0116 (424) 317-5655 +31 20 422 2981
  • Accepted file types: pdf, jpg, png, doc, docx, xls.
  • This field is for validation purposes and should be left unchanged.