Data Scientist
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Job Description
Data Scientist role focused on analyzing time series and event-based user interaction data. Collaborate with engineering and product teams for data-driven product improvements.
Responsibilities:
- Analyze large-scale time series and event-based data from user interactions
- Structure ambiguous problems and translate them into measurable signals and metrics
- Define high-level performance metrics, including normal ranges, limits, and thresholds
- Design and implement anomaly detection methods for individual users and user groups
- Build, validate, and backtest insights and alerts using historical and near-real-time data
- Operate effectively with incomplete, noisy, or delayed data in real-world environments
- Combine user interaction data with screen or video metadata to enrich insights
- Propose data-driven actions or recommendations when abnormal behavior is detected
- Collaborate with software engineers to integrate insights into developer-facing products
- Clearly document and explain metrics, insights, and alert logic to technical audiences
Requirements:
- Strong foundation in data science fundamentals (statistics, data analysis, metrics)
- Hands-on experience with time series analysis
- Experience analyzing user behavior or event-based data
- Solid understanding of anomaly detection techniques
- Proficiency in Python and SQL
- Experience working with large-scale or high-frequency datasets
- Ability to think in terms of product impact and actionable insights
- Strong communication skills and experience working with engineering teams
- **Nice to Have**
- Experience with streaming data platforms (Kafka, Spark, Flink, or similar)
- Familiarity with real-time analytics or monitoring systems
- Basic experience with video or screen data processing or metadata analysis
- Experience defining or maintaining alerting systems
- Background in developer-facing products or internal tooling
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