Job description

A fast-growing mobile gaming company that provides entertainment to millions of users around the world is expanding and looking for a rockstar Data Scientist to join its great team!

With a team of talented and passionate developers, designers, industry experts and gamers, this company is at the forefront of creating immersive gaming experiences that engage players on a whole new level.

As they continue to push the boundaries of what is possible in gaming, the company is poised to shape the future of the industry and redefine what it means to be a skill-based gaming company.

As a Data Scientist, you will join the team responsible for the core elements of the company's systems - ranging from core economy, through segmentation, advanced analysis tools and up to the company's marketing expansion efforts. You will use advanced statistics, machine-learning and AI algorithms, leveraging real and synthetic data to help us grow and become the leader of the industry.

Responsibilities

  • Develop data science models to support production systems
  • Contribute to business decision-making and improve KPIs across various areas using advanced data analysis tools
  • Continuously monitor and improve models performance through testing and experimentation.
  • Find creative and efficient solutions to complex data-related problems that include dynamics, causality, optimizations, clustering and online-learning,
  • Collaborate with cross-functional teams including game economy, development, and marketing to identify data-driven solutions and implement them.
  • Communicate findings, insights and innovations to non-technical stakeholders in a clear and concise manner.
  • Stay up-to-date with the latest advancements and trends in data science and machine learning.

Requirements

  • 2+ years of working experience in the field of Data Science or Machine Learning (Experience in AI - advantage).
  • BSc degree in a quantitative field such as Data Science, Computer Science, Statistics, Mathematics, or a related field.
  • Proficiency in programming using Python and version control.
  • Proficiency in querying languages like SQL.
  • Strong experience in data analysis, statistical modelling, and machine learning.
  • Excellent communication skills and the ability to present complex data in a clear and concise manner.
  • Strong problem-solving skills and the ability to think creatively to develop innovative solutions.

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