Website CrazyGames

Data Scientist – one of the world’s largest browser games platforms – is looking for a remote Data Scientist. You will be working in a small fully remote company, together with the Head of Data and the Head of Product, where you will bring our Machine Learning models to the next level.  CrazyGames is already used by more than 3 million users per day, providing us with a wide audience that gets to use your work every day.

Key outcomes for the role:

  • Within 1 month, you have a good understanding of the data pipeline, the existing models, and have devised a plan of actions for potential improvements

  • Within 3 months, you have improved one recommendation use case on our platform with a measurable platform-wide user engagement uplift of 1%

  • Within 6 months, you have put in production at least one new recommendation use case with a measurable platform-wide user engagement uplift of 3%

  • Within 12 months, you have successfully applied data science solutions in multiple places to improve the user experience, with a measurable platform-wide user engagement uplift of 5%

On a typical day you might:

  • Implement Machine Learning algorithms.
  • Analyse data-driven experiments to improve our platform performances.
  • Collaborate with Product and Engineering team to translate your ideas into work.
  • Apply new Machine Learning & AI techniques to improve the platform.
  • Support teams in understanding trends and analysing changes in user behaviour.

What we offer:

  • Join the Head of Data to grow the Data Science function of the company .

  • Work closely together with the Product team to ensure users have the best experience possible.

  • A modern tech stack on a massive scale (Over 200,000,000 plays per month, from users across the world ).

  • A lot of responsibility and freedom. We hire only experts and trust them to deliver excellent results.

  • Flexible working hours and location. The results are what counts!

  • 1 to 2 team weeks per year. We pay for flights and accommodation so you can have fun with the team.

  • The opportunity to play games and claim it’s work.

Job requirements

Reach out if:

  • You have working experience as a Data ScientistBonus points if you have worked on recommendation systems.

  • You have knowledge or experience with the most common Machine Learning techniques and algorithms.

  • You can train and implement Machine Learning models and improve existing ones.

  • You can think from the perspective of the user.

  • You have experience interpreting analytics data to drive design choices.

  • You are intelligent, efficient, and organized. You have an attention to detail.

  • You like open, efficient, and to-the-point communication and you have experience in working remotely.

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