Data Engineer (Python)

Requirements

1. Engage with PMs, designers, CRM managers to identify analysis requirements
2. Develop a deep understanding of available data to drive ad-hoc analysis and answer questions
3. Perform statistical analysis, hypothesis testing on experimental data to validate and quantify trends or patterns identified by business
4. Evaluate the performance of new features and content
5. Build machine learning models and work with engineering teams to produce model outputs.
6. Effectively write, present and communicate research results with recommendations.
7. Keep abreast of current and emerging capabilities in AI, ML, and analytical technologies and how to apply them in products & business.
8. 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.
9. Fraud Detection with user behavior
10. Understand different Cohorts and help build product retention strategies
11. Help the marketing team with user acquisition and engagement with correct life cycle understanding of the users.

Requirements

1. 3+ years of data science experience in consumer businesses
2. Leadership Capabilities

Must have good knowledge of analytics tools like Tableau, SQL, Google data studio, Power Bi

1. General Discussion with one co-founder
2. Technical Interview with another co-fonder
3. Assignment
4. Final Decision