Sr Manager - Data Science

Sr 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:

Global Head of People Ops and Technology

Location:

Asia Pacific, India, Karnataka, Bangalore

Work Location:

Hybrid

What you will do

Responsibilities

40% time – Data Science Strategy for Advanced Analytics for People Data

• Provide thought leadership and strategic guidance to guide Kenvue towards advanced analytics solutions working closely with Center of Excellence Leads from across HR.
• Be Key Partner of  Center of Excellence Leads to understand their problems, and evaluate how technology could solve those.
• Partner with cross functional teams like IT, Data Governance to formulate right process for Advanced Analytics Solutions in the company.
• Important part of role is to influence stakeholders towards optimal solution.
• As a Senior Manager, collaborating with and managing expectations of stakeholders is key.
• Flex your interpersonal skills to translate the complexity of your work into tangible business goals.

60% time as Individual Contributor and managing team deliverables

• Collaborate with HR Center of Excellences and data engineering team to identify opportunities for predictive insights, and machine learning to drive business solutions.
• Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation.
• Communicate complex data insights and recommendations to non-technical stakeholders in a clear and actionable manner.
• Utilize advanced analytics to solve business problems and drive measurable results.
• High attention to detail and proven ability to manage multiple, competing priorities simultaneously. Ability to quickly adapt to changing priorities and generate innovative solutions in an extremely fast-paced environment.
• Stay current with the latest advancements in data science, machine learning, and AI technologies.
• Role will have few full time employees or contractors working under your guidance to deliver solutions.

Qualifications

• Bachelors or Master’s in Data Science, Statistics, Computer Science, or a related field.
• 8+ years of experience in data science, with at least 3 years in a leadership role.
• At least 5 years’ experience in open source programming languages for large scale data analysis
• At least 5 years’ experience with designing and optimizing large scale machine learning models, implementing large and complex data pipelines and deploying models into production
• At least 5 years' experience utilizing cloud-based solutions (AWS, Azure, Google Cloud)
• Ability to apply statistical knowledge in deriving correlations, statistical significance of trends.
• Prior working experience on Databricks and Snowflake a plus.

If you are an individual with a disability, please check our Disability Assistance page for information on how to request an accommodation.