Data Scientist

Location: Remote

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Who we are:

Boon Logic, Inc. is a machine learning startup focused on bringing first-of-their-kind solutions to market built on our groundbreaking core technology. We are a dynamic team of well-rounded individuals, based primarily in Minneapolis, Minnesota, that value work-ethic, innovative

thinking, and have a team mindset. Successful employees at Boon Logic can think outside the box to solve age-old problems and should possess excellent communication skills and a spirit of transparency. As a startup, our people are often required to step outside of their job descriptions and comfort zones to fill in the gaps. We survive on flexibility and appreciate enthusiastic people that enjoy unique challenges.

Education: (required) Undergraduate Degree in Mathematics, Computer Science or related engineering field

Job Summary:

A Boon Logic Data Scientist applies skills and creativity in mathematics, statistics, and programming to prototype solutions and investigate hypotheses related to our unsupervised machine learning algorithm and applications. Working collaboratively with the rest of our team, our data scientists also listen to customer problem statements and begin the process of formulating effective solutions.

Responsibilities and Duties:

  • Evaluate semi-structured data sets to find underlying patterns
  • Use visualization and prototyping tools to formulate hypotheses and propose solutions
  • Participate in daily stand up meetings with the engineering team and report about progress and questions relevant to the rest of the team
  • Retain intellectual property security for all Boon core technologies and applications
  • Understand and evaluate customer problem statements

Qualifications and Skills:

  • Required: Significant experience in at least one of: C/C++, Go, Python, Java
  • Required: Excel
  • Desirable: Linux/MacOS experience
  • Desirable: Experience in MATLAB, Mathematica, or similar

This is a Remote (work from home) position.

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*** Mention DataYoshi when applying ***

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