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 learning related roles. Proficient in processing large-scale datasets using Big Data technologies like Hadoop, Spark and Hive....