Biggergames

Data Scientist

1mo ago
WorldwideMiddle
Biggergames

Data Scientist

1mo ago
WorldwideMiddlepythonstatistical analysismachine learningdata visualization

Analyze player behavior and game performance using data science to drive insights and optimize gaming experience.

Nice to have

  • You’ve played Tasty Match: Cook and Puzzle and explored the game. If not, now’s a great time to start!
  • You’re curious about the gaming industry and eager to learn more.
  • You enjoy working in fast-moving, dynamic environments.

Conditions

  • Be part of a top-tier team, learn from the best, and create games players love.
  • Competitive compensation.
  • Health insurance with unlimited coverage.
  • A beautiful, centrally located office in the heart of Istanbul.
  • Opportunities to attend global conferences and stay connected with the industry
  • Relocation support to make your move hassle-free if needed.
  • Follow Bigger Games on Linkedin

Other

  • We're looking for a Data Scientist who thrives on solving complex problems and uncovering insights that drive top-performing games. In this role, you'll collaborate closely with the Marketing, Development, and Product teams to analyze player behaviour, optimize game performance, and turn data into actionable strategies. Your expertise in statistical analysis, machine learning, and data visualization will play a key role in shaping our games and enhancing player experiences.
  • Bachelor’s degree in a relevant field from a recognized university.
  • 2+ years of experience in data science, preferably in gaming or tech.
  • Expertise in statistical analysis, machine learning, and data visualization.
  • Proficiency in Python
  • Strong analytical mindset with a sharp eye for detail and problem-solving.
  • Excellent communication skills, capable of translating complex data into actionable insights for non-technical teams.
  • Passion for gaming, with a deep understanding of player behaviour and game mechanics.
  • Extract insights from large datasets to identify trends and opportunities.
  • Develop and implement data models and machine learning algorithms to enhance game performance and player experience.
  • Collaborate cross-functionally to integrate data-driven strategies into game development and decision-making.
  • Design and execute A/B tests to measure the impact of new features and optimizations.
  • Monitor and refine in-game metrics to maximize player satisfaction and retention.
  • Translate data into action, providing strategic recommendations to improve engagement and monetization.