Exposure to everything on a humble team
When asked, “what do you want to see?” some people answer with the title of a great movie or the name or a great painting or a monumental place like the Grand Canyon. Your answer is simpler, it’s “everything”. If you want exposure to every area of the business, join an energetic, humble, smart team in this Data Scientist position!
With a lot of cutting-edge projects in the work, this growing company is the perfect place for curious, driven, humble team players like you to thrive. Everyone here is friendly, willing to go the extra mile, and passionate about what they do. Work in an open, casual office where you’ll be exposed to everything including end users. You’ll need experience with Python, Linux, and Deep Learning. Then, you’ll be able to develop an image analysis pipeline from large data sets, code in a team environment, and help transition research algorithms into production software. Use the latest and greatest technologies in a fun company where you can contribute to every area of the business and really make a big impact!
The easiest part of this job: With a 401k match of 6% and a generous 3 weeks of paid time off, this company offers the benefits you want and need!
The hardest part of this job: If you don’t want to be a part of an energetic team this won’t be the right job for you.
Join a humble, smart, energetic, driven team and get the exposure to everything you want and more in this cutting-edge Data Scientist role. Apply today!
What’s in it for you?
– Competitive Salary ($70,000-$110,000)
– 401k with 6% Match
– 3 Weeks PTO
What you’ll be doing:
– Develop an image analysis pipeline from large data sets
– Meet with end users to gather requirements for algorithms and data analysis techniques
– Collaborate with fellow Data Scientists, Programmers, and Statisticians to transition research algorithms into production software
– Travel occasionally and code in a team environment
What you need:
– Image Analysis
– Machine Learning
– Healthcare Industry experience is a plus