Verse Medical (S18)
Amazon for medical products, starting with contact lenses.

Data Scientist

New York City
Full-time
Any (new grads ok)
About Verse Medical

We're building the Amazon of medical products, starting with contact lenses. Medical products like contacts currently have terrible purchasing experiences and the process of selling them is grossly inefficient. The software our team is building solves that.

We're growing incredibly fast and just closed our seed round from top angel and institutional investors. Come join us on our path to change how medical products are sold.

https://beta.jetlenses.com/

About the role

Skills: Julia, ML, Python, R

We're hiring a person with a strong statistics/data science background with a focus on building amazing products.

Here's what we're looking for:

  • An ability to build stuff quickly and a bias for simple, robust solutions.
  • Strong statistical fundamentals (e.g. relationships between distributions).
  • Familiarity with some techniques such as GLMs, random forests, SVMs, etc. would be great, but we care much more about fast learning rate and strong fundamentals than knowing every fancy technique or model.
  • Ability to implement your models in a production setting.
  • Experience with Python, R or Julia.
  • Bachelor's degree in computer science, statistics, math, electrical engineering, physics or any other quantitative discipline.

As a company, we value:

  • Pragmatism over elegance.
  • Simplicity of implementation.
  • Speed of execution, as a company.
  • Strong fundamentals, particularly within data science.

We're in a unique position as a company where our success will be determined by how well we can execute on product and engineering. So, we believe that this is a incredibly high-impact and high-responsibility role that would be an amazing fit for anyone who wants to learn very fast.

Technology

Our tech stack includes Python for data science, Typescript and React for frontend and Rails for our backend. Within data science, we use libraries like statsmodels, cvxopt, etc. for our statistical models. What do we actually do with these models? Talk to us and find out! :)

We're looking for team members that with strong statistics/data science/research backgrounds that also enjoy engineering and building products for humans. We value:

  • Strong fundamentals, particularly within data science, over knowing every fancy new technique.
  • Pragmatism over elegance.
  • Simplicity of implementation.
  • Speed of execution.

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