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обновлСно 22 дня назад

Senior Data Scientist (Gaming)

Π€ΠΎΡ€ΠΌΠ°Ρ‚ Ρ€Π°Π±ΠΎΡ‚Ρ‹
hybrid
Π’ΠΈΠΏ Ρ€Π°Π±ΠΎΡ‚Ρ‹
fulltime
Π“Ρ€Π΅ΠΉΠ΄
senior
Английский
c1
Π‘Ρ‚Ρ€Π°Π½Π°
Sweden
Вакансия ΠΈΠ· списка Hirify.GlobalВакансия ΠΈΠ· Hirify Global, списка ΠΌΠ΅ΠΆΠ΄ΡƒΠ½Π°Ρ€ΠΎΠ΄Π½Ρ‹Ρ… tech-ΠΊΠΎΠΌΠΏΠ°Π½ΠΈΠΉ
Для мэтча ΠΈ ΠΎΡ‚ΠΊΠ»ΠΈΠΊΠ° Π½ΡƒΠΆΠ΅Π½ Plus

ΠœΡΡ‚Ρ‡ & Π‘ΠΎΠΏΡ€ΠΎΠ²ΠΎΠ΄

Для мэтча с этой вакансиСй Π½ΡƒΠΆΠ΅Π½ Plus

ОписаниС вакансии

ВСкст:
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TL;DR
Senior Data Scientist (Gaming) (SQL/Python): Analyzing player behavior and engagement data across games to shape product strategy, experimentation, and monetization with an accent on statistical modeling, predictive segmentation, and quantitative-qualitative research. Focus on designing A/B tests, translating complex datasets into product recommendations, and applying AI tools to modernize analytics workflows.

Location: Stockholm, Sweden; full-time hybrid work from the Stockholm office

Company

hirify.global is part of Spin Master's Digital Games group, creating games and digital toys for children and families worldwide.

What you will do

  • Analyze player datasets to identify behavioral patterns, feature engagement, retention drivers, and commerce opportunities.
  • Apply statistical models, regression analysis, predictive segmentation, machine learning, and A/B testing.
  • Combine behavioral telemetry with qualitative user research to develop holistic player insights.
  • Own complex and ambiguous product questions across the game lifecycle and provide data-backed recommendations to PMs, designers, and engineers.
  • Improve analytics workflows by using modern data science methods and AI tools.

Requirements

  • 3+ years of experience, or equivalent senior-level impact, in user-focused data science or advanced product analytics.
  • Experience in gaming, mobile apps, or interactive digital products.
  • Strong SQL skills and experience querying cloud data warehouses.
  • Proficiency in Python or R for statistical modeling, machine learning, segmentation, and exploratory analysis.
  • Strong experience with experimentation lifecycle design, A/B test analysis, and hypothesis testing.
  • Fluent English is required.

Nice to have

  • Experience with Google BigQuery, dbt, Tableau, or Looker.
  • Hands-on experience building, integrating, or using AI and LLM tools in data workflows.

Culture & Benefits

  • Broad end-to-end ownership across exploratory data science, modeling, experimentation, product strategy, and monetization.
  • Collaboration with Data & Analytics, User Research, product, design, and engineering teams.
  • Autonomous work on open-ended problems across multiple game product areas.
  • Six-month probationary period.
  • International environment with more than 20 nationalities.

Π‘ΡƒΠ΄ΡŒΡ‚Π΅ остороТны: Ссли Ρ€Π°Π±ΠΎΡ‚ΠΎΠ΄Π°Ρ‚Π΅Π»ΡŒ просит Π²ΠΎΠΉΡ‚ΠΈ Π² ΠΈΡ… систСму, ΠΈΡΠΏΠΎΠ»ΡŒΠ·ΡƒΡ iCloud/Google, ΠΏΡ€ΠΈΡΠ»Π°Ρ‚ΡŒ ΠΊΠΎΠ΄/ΠΏΠ°Ρ€ΠΎΠ»ΡŒ, Π·Π°ΠΏΡƒΡΡ‚ΠΈΡ‚ΡŒ ΠΊΠΎΠ΄/ПО, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡ‚Π΅ этого - это мошСнники. ΠžΠ±ΡΠ·Π°Ρ‚Π΅Π»ΡŒΠ½ΠΎ ΠΆΠΌΠΈΡ‚Π΅ "ΠŸΠΎΠΆΠ°Π»ΠΎΠ²Π°Ρ‚ΡŒΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡˆΠΈΡ‚Π΅ Π² ΠΏΠΎΠ΄Π΄Π΅Ρ€ΠΆΠΊΡƒ. ΠŸΠΎΠ΄Ρ€ΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β†’