Requirements
- Engage with PMs, designers, CRM managers to identify analysis requirements
- Develop a deep understanding of available data to drive ad-hoc analysis and answer questions
- Perform statistical analysis, hypothesis testing on experimental data to validate and quantify trends or patterns identified by business
- Evaluate the performance of new features and content
- Build machine learning models and work with engineering teams to produce model outputs.
- Effectively write, present and communicate research results with recommendations.
- Keep abreast of current and emerging capabilities in AI, ML, and analytical technologies and how to apply them in products & business.
- Partner closely with product and business domain experts to propose solutions and strategies for high-impact business value generation in diverse areas such as personalized customer experience, responsible gaming, and risk management.
- Fraud Detection with user behavior
- Understand different Cohorts and help build product retention strategies
- Help the marketing team with user acquisition and engagement with correct life cycle understanding of the users.
Requirements
- 3+ years of data science experience in consumer businesses
- Leadership Capabilities
Must have good knowledge of analytics tools like Tableau, SQL, Google data studio, Power Bi