Assistant Manager Data Science

Kenvue Is Currently Recruiting For a

Assistant Manager, Data Science

What We Do

At Kenvue, we realize the extraordinary power of everyday care. Built on over a century of heritage and rooted in science, we’re the house of iconic brands - including NEUTROGENA®, AVEENO®, TYLENOL®, LISTERINE®, JOHNSON’S® and BAND-AID® that you already know and love. Science is our passion; care is our talent.

Who We Are

Our global team is ~ 22,000 brilliant people with a workplace culture where every voice matters, and every contribution is appreciated. We are passionate about insights, innovation and committed to delivering the best products to our customers. With expertise and empathy, being a Kenvuer means having the power to impact millions of people every day. We put people first, care fiercely, earn trust with science and solve with courage – and have brilliant opportunities waiting for you! Join us in shaping our future–and yours. For more information, click here.

Role Reports To

Sr. Manager - DTO Strategy & Operation

Location:

Asia Pacific, India, Karnataka, Bangalore

Work Location:

Hybrid

About Kenvue

What you will do

Kenvue is the world’s largest pure-play consumer health company by revenue. Built on more than a century of heritage, our iconic brands, including Aveeno®, Johnson’s®, Listerine®, and Neutrogena® are science-backed and recommended by healthcare professionals around the world. At Kenvue, we believe in the extraordinary power of everyday care and our teams work every day to put that power in consumers’ hands and earn a place in their hearts and homes.

Lead Data Scientist

This position reports to Manager, Data Science and is based at Bangalore, India.

Role reports to: Manager, Data Science

Location: Bangalore, India or Hybrid

What You Will Do

The Assistant Manager, Data Science will work to deliver Optimization solutions to cross-functional Supply Chain teams. This individual will work with subject matter experts to deeply understand business context, key business questions, and opportunities. They will then collaborate with other teams within the Digital Transformation Office including Digital Capability teams, Data Engineering, Data Quality, Data Management & Governance, and ML Ops) ensure delivery of scalable data science solutions.

The ideal candidate for this role will demonstrate a combination of business focus, strong analytical and problem- solving skills, and programming knowledge to be able to quickly cycle hypotheses through the discovery phase. They will also have excellent written and communications skills to report back findings in a clear, structured manner.

Key Responsibilities

Mathematical Modeling and Optimization:

• Collaborate with stakeholders to understand business objectives, constraints, and requirements, and translate them into mathematical models and optimization problems
• Develop, refine and review mathematical models to represent supply chain systems,including inventory management, production planning, transportation logistics, and distribution networks.
• Apply advanced optimization techniques, such as linear programming, integer programming, network flow, simulation, and heuristic algorithms to solve complex supply chain problems
• Conduct sensitivity analysis, scenario modeling, and risk assessment to evaluate the impact of various factors on supply chain performance.
  
  

• Analyze large datasets, extract relevant information, and identify patterns and trends to support decision- making processes.
• Collaborate with data scientists and business analysts to gather and preprocess data from various sources, ensuring data accuracy and integrity.
• Generate actionable insights and recommendations based on data analysis to optimize supply chain operations, reduce costs, and improve customer service levels.
  
  

• Present findings, insights, and recommendations in a clear and concise manner.
• Make solution recommendations that appropriately balance speed to market and analytical soundness
• Work with internal stakeholders like Data Engineers, Data Scientists, Business Analysts, and Project Managers to ensure that product is tested and deployed on time.
  
  

• Stay up to date on the latest developments in operations research, supply chain management, and optimization techniques.
• Conduct research and explore innovative approaches to address supply chain challenges and drive continuous improvement.
  
  

• Bachelor of Science or Bachelor of Engineering at a minimum with specialization in Industrial Engineering, Operations Research, Management Science or related field
• 6 – 8 years of total work experience, with at least 4years of experience in Supply Chain Optimization
• Proficiency in mathematical modeling and optimization techniques, such as linear programming, integer programming, network flow, simulation, and heuristic algorithms.
• Strong programming skills in languages such as Python,R, or MATLAB, with experience in optimization libraries (e.g., Gurobi,FICO, CPLEX) and data manipulation tools (e.g., pandas, NumPy).
• Experience with data analysis, statistical modeling, and visualization using tools like SQL, Tableau, or Power BI.
• Knowledge of supply chain concepts, including demand forecasting, inventory management, production planning, transportation logistics, and distribution networks.
  
  

• Masters in industrial engineering, Operations Research, or Management Science
• Experience working in one or multiple supply chain functions