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Responsibilities - Leading data science initiatives to transform raw data into actionable insights for informed decision-making - Guiding teams in the application of advanced analytics and statistical techniques to solve complex business problems - Developing and implementing data-driven strategies to enhance business growth and performance - Utilizing machine learning and artificial intelligence tools to create predictive models and data visualizations - Overseeing the design and development of robust data solutions, confirming data quality and integrity - Collaborating with cross-functional teams to identify opportunities for data utilization and innovation - Mentoring team members to leverage their strengths and develop their skills in data science and analytics - Managing project timelines and deliverables to meet client expectations and drive successful outcomes - Encouraging the adoption of innovative technologies and methodologies within data science teams - Addressing challenges and conflicts with clients and stakeholders, fostering a team-oriented work environment What You Must Have - At least a Bachelor's degree - At least 8 years of experience - Oral and written proficiency in English required - Strong supply chain domain knowledge (inventory planning, demand forecasting, logistics) - Well versed and hands-on experience of working on optimization methods like linear programming, mixed integer programming, scheduling optimization. Having understanding of working on third party optimization solvers like Gurobi will be an added advantage -Proficiency in forecasting techniques (e.g., Holt -Winters, ARIMA, ARIMAX, SARIMA, SARIMAX, FBProphet, NBeats) and machine learning techniques (supervised and unsupervised) -Experience using at least one major cloud platform (AWS, Azure, GCP), such a .