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.
Role reports to:
Sr. Manager - DTO Strategy & Operation
Location:
Asia Pacific, India, Karnataka, Bangalore
Work Location:
Hybrid
What you will do
Manager, Data Science
This position reports to Senior Manager - Data Science and is based at Bangalore, India or Hybrid.
Who we are
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 Brand Adhesive Bandages that you already know and love. Science is our passion; care is our talent. Our global team is made up of ~ 22,000 diverse and brilliant people, 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 the life of 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:
Senior Manager, Data Science
Location:
Bangalore, India or Hybrid
Travel %:
10%
What you will do
As Manager, Data Science you will deliver critical insights and intelligence to cross-functional Supply Chain teams through scalable data science solutions. This individual will work with cross-functional subject matter experts (SMEs) to deeply understand business context and key business questions / opportunities, as well as collaborate with other teams (e.g., Digital Capability teams, PMO, IT delivery, Data Engineering, Data Quality, Data Management & Governance) to 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.
Key Responsibilities
Work with business stakeholders and cross-functional SMEs to deeply understand business context and key business questions
Create Proof of concepts (POCs) / Minimum Viable Products (MVPs), then guide them through to production deployment and operationalization of projects
Own product development across supply chain functions for Data Science solutions including cognitive engineering and conversational bots
Make solution recommendations that appropriately balance speed to market and analytical soundness, lead service delivery, milestone tracking
Design, adapt, and visualize solutions based on evolving requirements and communicate them through presentations, scenarios, and stories.
Provide thought leadership and subject matter expertise in machine learning techniques, tools, and concepts; make impactful contributions to internal discussions on emerging practices
Facilitate cross-geography sharing of new ideas, learnings, and best-practices
Deploy algorithms to production to identify actionable insights from large databases.
Compare results from various methodologies and recommend optimal techniques.
Design, adapt, and visualize solutions based on evolving requirements and communicate them through presentations, scenarios, and stories.
Ensure that solutions exhibit high levels of performance, security, scalability, maintainability, repeatability, appropriate reusability, and reliability upon deployment
Provide guidance and leadership to more junior data scientists, managing processes and flow of work, vetting designs, and mentoring team members to realize their full potential
What We Are Looking For
Required Qualifications
Masters or PhD in Computer Science, Engineering, or a related field
8-10 years of business experience, with at least 8 years of experience as a Data Scientist
Advanced knowledge of AI development and architecture,
A combination of business focus, strong analytical and problem-solving skills, and programming knowledge to be able to quickly cycle hypothesis through the discovery phase of a project
Advanced skills with statistical/programming software (e.g., R, Python) and data querying languages Strong hands-on skills in both feature engineering and hyperparameter optimization
Experience in driving large AI projects & conversion to products
Experience with Microsoft Azure or AWS data management tools such as Azure Data factory, data lake, Azure ML, Synapse, Databricks
Understanding of descriptive and exploratory statistics, predictive modelling, evaluation metrics, decision trees, machine learning algorithms, optimization & forecasting techniques, and / or deep learning methodologies
Experience with deep learning architectures such as GPTs, GANs, VAEs, and Transformers
Ability to lead, manage, build, and deliver business results through a team of data scientists
Excellent written and verbal communications skills to share ideas, data analysis assumptions and results in a clear and compelling manner
Self-motivated and a proactive problem solver who can work independently and in teams
Desired Qualifications
Experience working in one or multiple supply chain functions (e.g., procurement, planning, manufacturing, quality, logistics) is strongly preferred
Experience in applying AI/ML within a CPG or Healthcare business environment is strongly preferred.
Experience in supply chain solutions like smart ops, Digital Twin, Inventory Optimization, etc. is preferred.
Experience in NLP, Vision, and/or AR / VR is preferred
Experience in creating CI/CD pipelines for deployment using Jenkins is preferred
Experience implementing MLOPs framework and understanding of data security implementations on ML models is preferred
Hands on experience developing ML-driven models is preferred
Good working knowledge of Agile principle and processes is preferred
Note: Total Rewards at Kenvue include salary, bonus (if applicable) and benefits. Your Talent Access Partner will be able to share more about our total rewards offerings and the specific salary range for the relevant location(s) during the recruitment & hiring process.
Kenvue is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, protected veteran status, or any other legally protected characteristic, and will not be discriminated against on the basis of disability.
If you are an individual with a disability, please check our Disability Assistance page for information on how to request an accommodation.
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