Jobgether
Brazil
Senior Data Scientist – Customer Segmentation & Classification (RTM)
Data Science Full-time Mid-Senior level 1h ago
- AI
- Artificial Intelligence
- AWS
- Cloud
Q
AI Summary
Remote full-time role focused on analyzing player behavior, retention, and monetization to drive game design and live operations decisions. Responsibilities include building dashboards, running A/B tests, and developing player segmentation models using SQL and BI tools. Requires 2+ years of experience in game or product analytics with strong SQL skills and knowledge of game KPIs.
Key Highlights
Fully remote position with flexible work hours
Competitive salary range of $75,000 – $115,000 USD plus benefits
Focus on turning player behavior data into actionable insights for design and live ops
Interested in remote work opportunities in Data Science? Discover Data Science Remote Jobs featuring exclusive positions from top companies that offer flexible work arrangements.
Key Responsibilities
Analyse player behaviour, retention, monetisation, and engagement metrics
Build dashboards and reports for live ops, design, and product teams
Run A/B tests on features, balance changes, and live ops events
Develop player segmentation and lifecycle analyses
Partner with designers and producers on analytics-driven decisions
Identify data quality issues and partner with engineering on instrumentation
Technical Skills Required
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Benefits & Perks
Fully remote, flexible work hours
Performance-based bonus structure
Annual learning & development stipend
Health and wellness benefits
Job Description
- Role: Game Data Analyst
- Location: Remote
- Employment Type: Full-time
Compensation: Competitive salary commensurate with experience, qualifications, and location. Indicative range: $75,000 – $115,000 (USD equivalent), plus benefits.
Role Overview
We are hiring a Game Data Analyst to turn player behaviour data into the insights that drive design and live ops. The role combines deep SQL with game design fluency — answering questions designers and producers actually care about.
Key Responsibilities
- Analyse player behaviour, retention, monetisation, and engagement metrics
- Build dashboards and reports for live ops, design, and product teams
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