ΠΎΠ±Π½ΠΎΠ²Π»Π΅Π½ΠΎ 22 Π΄Π½Ρ Π½Π°Π·Π°Π΄
Senior Data Scientist (Gaming)
ΠΡΡΡ & Π‘ΠΎΠΏΡΠΎΠ²ΠΎΠ΄
ΠΠ»Ρ ΠΌΡΡΡΠ° Ρ ΡΡΠΎΠΉ Π²Π°ΠΊΠ°Π½ΡΠΈΠ΅ΠΉ Π½ΡΠΆΠ΅Π½ Plus
ΠΠΏΠΈΡΠ°Π½ΠΈΠ΅ Π²Π°ΠΊΠ°Π½ΡΠΈΠΈ
Π’Π΅ΠΊΡΡ:
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
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.
ΠΡΠ΄ΡΡΠ΅ ΠΎΡΡΠΎΡΠΎΠΆΠ½Ρ: Π΅ΡΠ»ΠΈ ΡΠ°Π±ΠΎΡΠΎΠ΄Π°ΡΠ΅Π»Ρ ΠΏΡΠΎΡΠΈΡ Π²ΠΎΠΉΡΠΈ Π² ΠΈΡ ΡΠΈΡΡΠ΅ΠΌΡ, ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΡ iCloud/Google, ΠΏΡΠΈΡΠ»Π°ΡΡ ΠΊΠΎΠ΄/ΠΏΠ°ΡΠΎΠ»Ρ, Π·Π°ΠΏΡΡΡΠΈΡΡ ΠΊΠΎΠ΄/ΠΠ, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡΠ΅ ΡΡΠΎΠ³ΠΎ - ΡΡΠΎ ΠΌΠΎΡΠ΅Π½Π½ΠΈΠΊΠΈ. ΠΠ±ΡΠ·Π°ΡΠ΅Π»ΡΠ½ΠΎ ΠΆΠΌΠΈΡΠ΅ "ΠΠΎΠΆΠ°Π»ΠΎΠ²Π°ΡΡΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡΠΈΡΠ΅ Π² ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΡ. ΠΠΎΠ΄ΡΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β