Lead DNA MLOps and Data Science

KenvueSummit, New Jersey

$170,000 - $200,000 / year

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Overview

Schedule

Full-time

Education

Bachelor's/Undergraduate Degree

Career level

Director

Remote

On-site

Compensation

$170,000-$200,000/year

Benefits

Career Development

Job Description

Employer: Kenvue Brands LLC

Job Title: Lead DNA MLOps and Data Science

Job Code: B378.441

Job Location: Summit, NJ

Job Type: Full-Time

Rate of Pay: $170,000 - $200,000/year

Job Duties: 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.

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

CONTACT: To apply, please send resume to resumes@kenvue.com. Please refer to Job Code #B378.441.

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FAQs About Lead DNA MLOps and Data Science Jobs at Kenvue

What is the work location for this position at Kenvue?

This job at Kenvue is located in Summit, New Jersey, according to the details provided by the employer. Some roles may also include multiple work locations depending on the requirement.

What pay range can candidates expect for this role at Kenvue?

Candidates can expect a pay range of $170,000 and $200,000 per year.

What employment applies to this position at Kenvue?

Kenvue lists this role as a Full-time position.

What experience level is required for this role at Kenvue?

Kenvue is looking for a candidate with "Director" experience level.

What education level is required for this job?

The education requirement for this position is Bachelor's/Undergraduate Degree. Candidates with relevant qualifications or equivalent experience may also be considered.

What benefits are offered by Kenvue for this role?

Kenvue offers Career Development for this position. Actual benefits may vary depending on the employer's policies and employment terms.

What is the process to apply for this position at Kenvue?

You can apply for this role at Kenvue either through Sonara's automated application system, which helps you submit applications 10X faster with minimal effort, or by applying manually using the direct link on the job page.