Job
Description
As an Analyst, Data Science at Kenvue in Bengaluru, India, you will be responsible for developing and implementing advanced analytics, optimization models, and machine learning solutions to address complex Operations Research business challenges. Working closely with cross-functional teams, you will analyze large datasets, identify patterns, and generate insights to drive business value. Your key responsibilities will include: - Developing, refining, and reviewing mathematical models for supply chain systems such as inventory management, production planning, transportation logistics, and distribution networks. - Applying advanced optimization techniques like linear programming, integer programming, network flow, simulation, and heuristic algorithms to solve intricate supply chain problems. - Collaborating with stakeholders to understand business objectives, constraints, and requirements and translating them into mathematical models and optimization problems. - Working with data scientists and business analysts to gather and preprocess data from various sources, ensuring data accuracy and integrity. - Analyzing large datasets, extracting relevant information, and identifying patterns and trends to support decision-making processes. - Following code versioning through tools like Bitbucket/GIT and documenting work on Confluence. - Building APIs for seamless integration with applications. - Keeping up-to-date with the latest developments in operations research, supply chain management, and optimization techniques. - Conducting research and exploring innovative approaches to address supply chain challenges and drive continuous improvement. What We Are Looking For: Required Qualifications: - Masters degree in Industrial Engineering, Operations Research, or Management Science or related field. - 2-4 years of business experience. - At least 2 years of experience in Supply Chain Optimization. - Proficiency in mathematical modeling and optimization techniques, including linear programming, integer programming, network flow, simulation, and heuristic algorithms. - Strong programming skills in languages like Python, experience in optimization libraries (e.g., Gurobi, FICO), and data manipulation tools (e.g., pandas, NumPy). - Experience with data analysis, statistical modeling, and visualization tools like SQL, Streamlit. - Hands-on Python programmer with a strong understanding of OOPs. - Knowledge of supply chain concepts like demand forecasting, inventory management, production planning, transportation logistics, and distribution networks. Desired Qualifications: - APICS certification (CPIM, CSCP). - Microsoft certification (e.g., Azure Fundamentals). - Machine Learning certification. If you are passionate about leveraging your expertise in data science and optimization to make a meaningful impact on supply chain operations, we invite you to join our team at Kenvue in Bengaluru, India.,
