Staff Data Scientist (Growth & ML), Hyderabad

Research, design, experiment with and build high-impact end-to-end machine learning systems for customer growth . Contribute and drive the design of scalable ML solutions in production . Coordinate the work of applied scientists and machine learning engineers providing research guidance and mentorship . Promote and role-model best practices of data science, engineering, and communication throughout the organization . Mentor and provide technical guidance to junior Machine Learning Engineers in the team . Navigate existing ML research and apply it to solve industry problems . Contribute back to research community by writing/publishing blogs, articles or papers in respected scientific conferences . M.S or B.S.in a Computer Science/Statistics/Data Science/Quant or related field . 9+ years of building products with Machine Learning and Personalization . Deep understanding of statistics and ML fundamentals . Expert proficiency with ML-frameworks such as TensorFlow, PyTorch, XGBoost, Scikit-learn etc. Production experience implementing, maintaining, and improving machine learning pipelines and models at scale in Python, Java, Scala, or similar languages . Deep knowledge in multiple ML methodologies, such as Recommendations & Search, Causal Machine Learning, Interpretable ML, Multi-Armed Bandits, Reinforcement Learning and Constrained Optimization . Proven leadership skills, such as aligning complex technical decisions across teams, mentoring, coordinating cross-functional relationships with non-technical stakeholders, managing expectations, and navigating competing priorities . Excellent written and verbal communication skills, with the ability to effectively advocate technical solutions to scientists, engineers, and product audiences . Self-motivated, growth-oriented, and driven to pursue excellence across teams . Standardize and promote best practices for using AI-assisted tools to improve team-level productivity and code quality. Some Important Details.