Lead Data Scientist — Gaming Analytics (Istanbul Onsite)

Vertigo Games

Fatih

On-site

TRY 900,000 - 1,500,000

Full time

14 days+
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Benefits offered by this job

Meal allowance
Private health insurance
Equity for long-term contribution
Continuous learning budget
Office in Levent

Job summary

Vertigo Games in Istanbul’s Levent district is seeking a Lead Data Scientist to join our on-site team. You will explore player behavior, in-game metrics, and performance trends to drive data-driven decisions for our top mobile games Critical Strike and Polygun Arena.

We value proficiency in SQL and Python, cloud data warehousing (BigQuery), and collaboration with cross-functional teams to shape product roadmaps and optimize data architectures while delivering insightful dashboards and reports.

Qualifications

  • Highly proficient in SQL and Python.
  • Minimum of 3 years of hands-on data science experience in a tech companies preferably within a mobile game company.
  • Experienced in managing data within cloud warehousing environments such as BigQuery etc.
  • Excellent communication and collaboration skills to work effectively with cross-functional teams.
  • Passion and interest for mobile gaming industry trends and user behavior is a plus.

Responsibilities

  • Interpret large datasets to provide actionable insights that shape product roadmaps and strategy
  • Collaborate with engineers to optimize data pipelines, warehouses, and the overall data architecture.
  • Conduct exploratory analysis and A/B testing to identify product gaps and seize growth opportunities
  • Develop visualization suites (dashboards, reports)

Skills

SQL
Python
Data analysis

Tools

BigQuery

Job description

Vertigo Games in Istanbul’s Levent district is seeking a Lead Data Scientist to join our on-site team. You will explore player behavior, in-game metrics, and performance trends to drive data-driven decisions for our top mobile games Critical Strike and Polygun Arena.

We value proficiency in SQL and Python, cloud data warehousing (BigQuery), and collaboration with cross-functional teams to shape product roadmaps and optimize data architectures while delivering insightful dashboards and reports.

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