Data Scientist
At a glance
Mid-level Data Science role at Bigger Games. Istanbul · full-time.
Pay not stated Data Scientist salary
dataroles summary, based on the employer's posting.
What you'll do
- Analyze player data to find trends and opportunities that can guide game decisions
- Build data models and machine learning methods to improve game performance and player experience
- Plan and run A/B tests to assess new features and game improvements
- Track in-game measures, refining them to support player satisfaction and retention
- Turn findings into recommendations that improve engagement and monetization
What you bring
- At least two years in data science, preferably in gaming or technology
- A relevant bachelor’s degree from a recognized university
- Strong skills in Python, statistical analysis, machine learning and data visualization
- You can explain complex findings clearly to non-technical teams and bring a sharp analytical eye
Who this fits
This mid-level, onsite role in Istanbul suits someone with a gaming interest and a strong grasp of player behavior and game mechanics. You’ll work with marketing, development and product teams.
From the employer
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.
ABOUT THIS ROLE:
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.
YOU COULD BE A GREAT FIT IF:
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.
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