Responsibilities:

• Build statistical and machine learning models to analyse large (PB-scale) volume of customer data, uncovering valuable insights and patterns.
• Design A/B tests and causal inference to measure the impact of different strategies on user behaviour and business outcomes.
• Implement robust MLOps pipelines to automate the deployment, monitoring, and maintenance of models in production environments.
• Collaborate with data team to scale infrastructure for future initiatives.
• Effectively communicate complex findings and insights to both technical and non-technical stakeholders.
• Stay updated with the latest advancements in AI and Generative AI technologies.

Requirements:

• Bachelor's degree or higher in quantitative field (Statistics, Applied Mathematics, Computer Science etc).
• 2 to 5+ years of working experience in Data Science, machine learning and deep...