What will you do:

• Utilize statistical modeling and machine learning algorithms to extract patterns and insights from complex datasets consisting of hundreds of millions of records
• Create a variety of ML/Stat models to meet diverse product and marketing requirements, including predicting consumer lifetime value, optimizing pricing, and forecasting user behavior
• Collaborate with data engineers to create and maintain robust data pipelines for efficient data processing
• Implement effective feature engineering strategies to enhance the performance of predictive models
• Analyze and interpret A/B testing results using statistical hypothesis testing
• Create informative dashboards and visualizations to track key business metrics such as LTV, CAC, ROI etc

What we expect from you:

• Strong interpersonal and communication skills with a collaborative, curious and team-oriented mindset
• 1-3 years of industry experience with a degree in Computer Science, Statistics, Physics, Mathematics or Engineering.
• Proficient in Statistics, Statistical Hypothesis Testing, Regression, Tree-based Machine Learning models, as well as Bagging and Boosting techniques
• Proficient in programming languages like Python and SQL. Knowledge of Pyspark will be an added advantage
• Prior experience of A/B testing and experimentation design will be an advantage

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  Benefits are reviewed and updated on a yearly basis