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9 дней назад

Data Scientist (Mobile Games)

Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Data Scientist (Mobile Games) (SQL/Python/BigQuery/dbt): Analysing player behaviour and organic growth for mobile games with an accent on experimentation, attribution, causal methods, and reliable game data. Focus on designing A/B tests, building dashboards and data models, defining tracking requirements, and turning player insights into game design decisions.

Location: Hybrid in London, United Kingdom; work from the Kings Cross studio three days a week on Monday, Thursday, and Friday.

Company

hirify.global develops mobile games, including Love & Pies, with a focus on inclusive player experiences.

What you will do

  • Analyse player behaviour across games to identify opportunities, improvement areas, and the likely impact of changes.
  • Own measurement of organic growth, including organic install share and game shareability, and recommend next steps.
  • Investigate install attribution using causal methods to understand player acquisition sources.
  • Design and analyse A/B tests with game teams, select appropriate methods, interpret results, and recommend actions.
  • Build and maintain dashboards and data models with Omni, dbt, and BigQuery, and define tracking requirements with developers.
  • Apply player insights to game design, communicate recommendations clearly, and use AI critically for SQL, dbt, and data exploration.

Requirements

  • Clean, reliable SQL and Python for analysis.
  • Solid applied statistics knowledge, including sampling, hypothesis testing, and A/B testing.
  • Ability to turn loosely defined questions into appropriate analytical approaches and actionable answers.
  • Experience using data to understand product usage and apply findings to product decisions.
  • Hands-on data analytics experience turning raw data into insights that inform decisions.
  • Ability to explain complex findings clearly to non-technical audiences and recommend next steps.
  • Daily use of AI tools, with the judgement to question, check, and challenge their outputs.
  • Comfort taking ownership, making decisions independently within scope, and involving others when appropriate.

Nice to have

  • Background in mobile games or apps, or experience with cloud or web products.
  • Hands-on experience with BigQuery, dbt, Omni, Looker, or similar warehouse, modelling, and BI tools.
  • Experience with causal inference or attribution methods.
  • Experience across the full data pipeline, including tracking, ingestion, pipelines, modelling, and visualisation.

Culture & Benefits

  • Hybrid work combining remote flexibility with in-person collaboration at the London studio.
  • Culture built around support, trust, inclusion, ownership, and clear communication.
  • Collaboration across game and data teams, with knowledge sharing and constructive feedback.
  • Work centred on player needs and creating inclusive games.

Hiring process

  • The position is offered on a 12-month fixed-term contract.

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