Data Scientist

St. Petersburg, Florida, United States - Remote

Bryq

Bryq is the leading talent intelligence solution based on soft skills. It allows you to objectively and effectively hire, grow, and retain talent.

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Who we are:

Bryq is a Talent Intelligence platform built upon who people are, not only what they have done so far.

From hiring to retiring, Bryq can help companies make faster and smarter talent management decisions. By measuring the personality traits and cognitive skills of both candidates and current employees and combining that with existing HR data (such as performance, organization, etc.) we are able to match them into roles and teams perfectly suited for them.

Whether a company wants to eliminate bias from the hiring process, build upon their company culture, or promote professional development of their staff through internal mobility,

Bryq Talent Intelligence acts as the perfect tool to help companies get to where they want to be. Building a better workforce - Bryq by Bryq.

What will you be doing:

  • Develop data science models for Bryq users.
  • Maintain and build new predictive models by applying Machine Learning algorithms
  • Monitor and evaluate the performance of the predictive models
  • Work in a team of Data Scientist, collaborating with cross-functional teams in product, business, and engineering to address cutting edge retail solutions for recruiting teams.  
  • Report the key findings internally by writing brief and explanatory reports helping the team to take decisions

Requirements

  • ​Proven experience in Data science, machine learning, optimization models
  • Master's in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics would be considerd a plus.
  • Proven experience in Python, Spark, Scala, or R, using open-source frameworks (for example, scikit learn, TensorFlow, Pytorch)
  • Excellent understanding of AI/ML/DL and Statistics, as well as coding proficiency using related open-source libraries and frameworks 
  • Significant proficiency in SQL and languages like Python, PySpark and/or Scala.  
  • Effective technical communication to non-technical stakeholders..  

Benefits

  • We're a remote-first organization that lets you work from the comfort of your home or with other awesome Bryqsters in one of our regional offices (currently in Athens, Greece, but soon also in St. Petersburg, FL)
  • We’re VC-funded and financially stable.
  • We seriously care about making hiring more fair, equitable, and sensible. That’s the goal, not some kind of played-out startup glory. 
  • We move fast and learn quickly as a team that supports one another. We fail fast and fail often together so we can innovate impactfully. 
  • Great paid time off is also on the table because we’re human and get that you’re also human. 
  • Tools are on us, like your choice of a shiny new Laptop.
  • We’ve reached a global audience from tiny startups to multinational businesses.

Interview process

It starts with the 20-minute Bryq assessment that we ask all employees (including our CEO) to take. It gives us valuable insight into your strengths, and also happens to be our core product offering that you’ll be working on!

After that, you will get to know if you go on to the next round of the interviewing process which includes speaking to HR and our Head of DS. The final step is a take-home business case. 

Bryq is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or any other characteristic protected by law.

For any questions , please contact us at hr@bryq.com

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Computer Science Econometrics Engineering Machine Learning Mathematics Open Source PySpark Python PyTorch R Research Scala Scikit-learn Spark SQL Statistics TensorFlow

Perks/benefits: Career development Gear Startup environment

Regions: Remote/Anywhere North America
Country: United States
Job stats:  30  15  0
Category: Data Science Jobs

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