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.

, 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.

Required Qualifications :

What We Are Looking For :

- Masters or PhD in Computer Science, Engineering, or a related field.

- 8 to 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.