Lead DNA MLOps and Data Science

Kenvue • Summit, NJ

1d • Onsite

About The Position

This role involves working closely with cross-functional teams including business partners, data scientists, data engineers, solution architects, and data architects to rapidly deliver scalable Artificial Intelligence (AI) solutions and optimizations. Key responsibilities include developing, deploying, and maintaining these solutions with a focus on optimizing data queries, refactoring code, utilizing shared libraries, and documenting processes. The Lead will advocate for and implement a global MLOps model to ensure standardization in AI solution design, research, development, deployment, and maintenance. The position requires designing and implementing automation processes throughout MLOps project phases, leveraging tools like Databricks to build autonomous, scalable ML pipelines, and optimizing Snowflake queries for efficient data access and integration. Building and maintaining robust ETL pipelines is also crucial. Collaboration with business stakeholders to understand requirements and communicate the value of AI solutions is essential. The Lead will serve as a Subject Matter Expert on best practices for leveraging the global data science platform, mentor team members including university students, and continuously research and promote new technologies and best practices to drive business value and improve team performance.

Requirements

• Bachelor’s degree in Computer Science, Data Science, Machine Learning, Mathematics, Statistics, Economics, or related fields
• 5 years of experience in the job offered or in a Lead DNA MLOps and Data Science-related occupation

Responsibilities

• Work closely with cross-functional teams of business partners, data scientists, data engineers, solution architects, and data architects to rapidly deliver scalable Artificial Intelligence (AI) solutions and optimizations.
• Develop, deploy, and maintain these solutions with a focus on optimizing data queries, refactoring code, utilizing shared libraries, and documenting processes and solution artifacts.
• Advocate for and implement a global MLOps model across project teams to ensure standardization and consistency in AI solution design, research and development, deployment, and maintenance.
• Design and implement automation processes throughout each MLOps project phase, emphasizing the development, testing, and adoption of reusable code libraries.
• Leverage tools like Databricks to build autonomous, scalable, high-performance, and cost-effective ML pipelines.
• Design and optimize Snowflake queries to ensure efficient access to large-scale datasets, integrate Snowflake with ML tools and frameworks, and maintain data quality and governance standards throughout the pipeline lifecycle.
• Build and maintain robust ETL pipelines for efficient data processing.
• Collaborate with business stakeholders and AI project teams to understand business requirements, develop scalable AI solutions, and communicate their value to business partners.
• Serve as a Subject Matter Expert (SME) on best practices for leveraging the team’s global data science platform to drive MLOps processes and reduce the cost of AI projects.
• Mentor and lead team members, including university students in co-op and internship programs.
• Continuously research and promote the latest technologies, design patterns, and best practice delivery models to drive business value and improve team performance, processes, and platforms.
• Apply innovative thinking in all aspects of work, consistently seeking the most effective ways to support teams and business partners.

Benefits

• Culture of belonging
• Inclusive benefits for Kenvuers and families
• Selected as one of Seramount’s 100 Best Companies for working parents and caregivers
• Opportunities to deepen existing expertise and build on new skills by broadening exposure outside of own category
• Harness the power of data and technology in new ways to better understand human insights and drive better health outcomes

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Number of Employees: 5,001-10,000 employees