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4 месяца назад

Data Scientist (AI/ML)

Формат работы
onsite
Тип работы
fulltime
Английский
b2
Страна
Turkey
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Data Scientist (AI/ML): Build and implement ML & Optimization algorithms for product and marketing initiatives in mobile games with an accent on exploratory analysis, experimentation, and data-informed decision-making. Focus on improving engagement and monetization through scalable data solutions and promoting data culture across the organization.

Location: On-site in Istanbul

Company

hirify.global is a leading mobile gaming company focused on building next-generation mobile game franchises to be played by millions globally.

What you will do

  • Build and implement ML & Optimization algorithms for product and marketing.
  • Build and maintain ETL automation to structure data.
  • Run exploratory analysis and find scalable ways to improve engagement and monetization.
  • Design and run experiments with relevant teams and communicate learnings.
  • Create and maintain reports and dashboards.
  • Promote data-culture across the organization.

Requirements

  • On-site presence in Istanbul required.
  • Degree in Mathematics, Physics, Statistics, Computer Science or Engineering.
  • Experience in predictive modeling, time series analysis, machine learning, big data, deep learning, and reinforcement learning.
  • Proficiency in Python & SQL with strong coding skills.
  • Experience in data engineering and familiarity with AWS or Google Cloud Platform.
  • Experience in data visualization.

Nice to have

  • Familiarity with tools such as Airflow, Tableau, BigQuery, Firebase.

Culture & Benefits

  • Work in a fast-paced, hyper-growth environment with smart minds in the industry.
  • Foster a team spirit and collaboration, with a passionate, energetic, and eager-to-learn "geek" culture focused on games.
  • Solve interesting business challenges using a technology-agnostic and data-informed decision-making approach.

Hiring process

  • Artificial intelligence (AI) tools may be used to support parts of the hiring process, but human judgment makes final hiring decisions.

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