• Responsible for end-to-end data science cycles, encompassing designing, training, implementing, evaluating, and monitoring machine learning models. • Design and implement highly scalable tools and algorithms based on state-of-the-art Machine Learning and Deep Learning methodologies. • Work across the ML stack, from researching models, working with large datasets, training, and tuning existing models to creating new models, deploying them at scale. • Analyze results, and present findings to stakeholders across tech and business domains. • Develop and implement advanced predictive models to optimize customer experiences and other business outcomes. • Collaborate with cross-functional teams to ensure proper deployment and integration of ML models for new releases.