Crazy Games

[REMOTE] Data Scientist

Graphic Designer (Marketing)

[REMOTE] Product Director Monetization

Product Manager Monetization

Programmatic Manager

CrazyGames.com is seeking a remote Data Scientist to join its Data Team. This role focuses on enhancing recommendation systems and Machine Learning models for a platform with over 3,000 games and 50 million monthly users. Key responsibilities include implementing ML algorithms, managing data-driven experiments, and collaborating with product and engineering teams to improve user experience and engagement through data science solutions.

<p class="my-4 text-gray-700 leading-relaxed">CrazyGames.com - one of the world’s largest browser games platforms - is looking for a remote <strong>Data Scientist.</strong> You will be joining the Data Team, working in a fully remote company - together with the Product and Engineering team, You will <strong>bring our Recommendation Systems and Machine Learning models to the next level.</strong> Personalised game recommendation is one of the most important factor for a platform with more than <strong>3 thousands games</strong> used by more than 50 <strong>Million users per month</strong>.</p><h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">Key outcomes for the role:</h3><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Within 1 month, you have a good understanding of the existing models, the data pipeline, and have devised a plan of actions for potential improvements;</li><li class="leading-relaxed">Within 3 months, you have improved one recommendation use case on our platform with a measurable platform-wide user engagement uplift of 1%;</li><li class="leading-relaxed">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%;</li><li class="leading-relaxed">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%</li></ul><h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">On a typical day you might:</h3><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed"><strong>Implement</strong> Machine Learning algorithms.</li><li class="leading-relaxed"><strong>Apply</strong> new Machine Learning & AI techniques to improve the platform.</li><li class="leading-relaxed"><strong>Manage</strong> data-driven experiments to improve our model performances.</li><li class="leading-relaxed"><strong>Collaborate</strong> with Product and Engineering team to translate your ideas into work.</li><li class="leading-relaxed"><strong>Support</strong> teams in understanding trends and analysing changes in user behaviour.</li></ul><h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">What we offer:</h3><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Join the Data Team to grow the Data Science function of the company .</li><li class="leading-relaxed">Work closely together with the Product team to ensure users have the best experience possible.</li><li class="leading-relaxed">A modern tech stack on a massive scale (Over 300,000,000 plays per month, from users across the world).</li><li class="leading-relaxed">A lot of responsibility and freedom. We hire only experts and trust them to deliver excellent results.</li><li class="leading-relaxed">Flexible working hours and location. The results are what counts!</li><li class="leading-relaxed">1 to 2 team weeks per year. We pay for flights and accommodation so you can have fun with the team.</li><li class="leading-relaxed">The opportunity to play <a href="https://www.crazygames.com/" target="_blank" rel="noopener noreferrer" class="text-blue-600 hover:text-blue-800 hover:underline transition-colors duration-200">games</a> and claim it's work.</li></ul><h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">Job requirements</h3><p class="my-4 text-gray-700 leading-relaxed">Reach out if:</p><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">You have working experience as a <strong>Data Scientist.</strong> Bonus points if you have worked on recommendation systems.</li><li class="leading-relaxed">You have knowledge or experience with the most common Machine Learning techniques and algorithms.</li><li class="leading-relaxed">You can train and implement Machine Learning models and improve existing ones.</li><li class="leading-relaxed">You can effectively communicate complex technical issues to various stakeholders.</li><li class="leading-relaxed">You have experience <strong>interpreting analytics data</strong> to drive <strong>design choices</strong>.</li><li class="leading-relaxed">You are <strong>intelligent, efficient, and organized</strong>. You have an attention to detail.</li><li class="leading-relaxed">You like open, efficient, and to-the-point <strong>communication</strong> and you have experience in working remotely.</li></ul>

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Let's assess your OOPs skills! ????- This assessment gives us an idea of your fundamental OOPS concepts and Solid principles skills- Companies that evaluate this skillset in interviews: Hitwicket, GSN Games, Tomo Club, etc.

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Let's assess your Unity Skills ????- This assessment gives us an idea of your Unity fundamentals- Companies you can apply for after taking this assessment: Godspeed games, Salvation Games, nCore Games, etc.

[REMOTE] Data Scientist

Graphic Designer (Marketing)

[REMOTE] Product Director Monetization

Product Manager Monetization

Programmatic Manager

Programmatic Manager

Job Details