Sr Data Scientist

Job Description

You’re not the person who will settle for just any role. Neither are we. Because we’re out to create Better Care for a Better World, and that takes a certain kind of person and teams who care about making a difference. Here, you’ll bring your professional expertise, talent, and drive to building and managing our portfolio of iconic, ground-breaking brands. In this role, you’ll help us deliver better care for billions of people around the world. It starts with YOU.

In This Role, You Will

We are seeking a forward-thinking and technically skilled Senior Data Scientist to join our Data & Analytics team supporting the International Family and Professional (IFP) segment. This role will be pivotal in scaling our predictive and generative AI capabilities, driving innovation, and delivering actionable insights across global markets. You will work with large-scale datasets from SAP, Snowflake, and other enterprise systems, leveraging Databricks, Azure Functions, and advanced Python libraries to build and deploy machine learning and AI solutions that support commercial, RGM, and operational strategies

• Lead the development and deployment of predictive models, generative AI solutions, and intelligent agents using Databricks and Azure ML.
• Design and implement AI-driven tools that enhance decision-making, automate workflows, and improve user experiences across the IFP segment.
• Collaborate with cross-functional teams (e.g., RGM, Sales, IME) to identify business opportunities and translate them into data science and AI solutions.
• Build reusable code and model components using Python (pandas, scikit-learn, XGBoost, PyTorch, LangChain, etc.).
• Develop and orchestrate data workflows and model scoring pipelines using Azure Functions and MLOps best practices.
• Communicate findings and recommendations to technical and non-technical stakeholders through compelling storytelling and visualizations.
• Mentor junior data scientists and contribute to the team’s best practices and knowledge sharing.
  
  

About Us

Huggies®. Kleenex®. Cottonelle®. Scott®. Kotex®. Poise®. Depend®. Kimberly-Clark Professional®. You already know our legendary brands—and so does the rest of the world. In fact, millions of people use Kimberly-Clark products every day. We know these amazing Kimberly-Clark products wouldn’t exist without talented professionals, like you.

At Kimberly-Clark, you’ll be part of the best team committed to driving innovation, growth and impact. We’re founded on more than 150 years of market leadership, and we’re always looking for new and better ways to perform – so there’s your open door of opportunity. It’s all here for you at Kimberly-Clark.

Led by Purpose. Driven by You

About You

You perform at the highest level possible, and you appreciate a performance culture fueled by authentic caring. You want to be part of a company actively dedicated to sustainability, inclusion, wellbeing, and career development. You love what you do, especially when the work you do makes a difference. At Kimberly-Clark, we’re constantly exploring new ideas on how, when, and where we can best achieve results. When you join our team, you’ll experience Flex That Works: flexible work arrangements that empower you to have purposeful time in the office and partner with your leader to make flexibility work for both you and the business.

Key Qualifications And Experiences

In one of our technical roles, you’ll focus on winning with consumers and the market, while putting safety, mutual respect, and human dignity at the center. To succeed in this role, you will need the following qualifications:

• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or related field.
• 5+ years of experience in data science roles, preferably in a global enterprise or CPG environment.
• Strong proficiency in Python and its data science ecosystem (NumPy, pandas, scikit-learn, etc.).
• Hands-on experience with Databricks, Azure ML, and Azure Functions.
• Experience building and deploying generative AI models (e.g., LLMs, transformers) and AI agents using frameworks like LangChain or Semantic Kernel.
• Solid understanding of statistical modeling, machine learning, and experimental design.
• Experience working with large datasets and distributed computing frameworks (e.g., Spark).
• Familiarity with Snowflake, SAP data structures, and enterprise data integration patterns.
• Excellent communication and stakeholder management skills
• Experience in the IFP segment or similar domains (e.g., healthcare, B2B/B2C sales).
• Exposure to deep learning and generative AI frameworks (e.g., Hugging Face Transformers, OpenAI APIs).
• Knowledge of MLOps practices and CI/CD for model deployment.
• Familiarity with responsible AI principles and data privacy standards.
  
  

To Be Considered

Click the Apply button and complete the online application process. A member of our recruiting team will review your application and follow up if you seem like a great fit for this role.

In the meantime, please check out the careers website.

And finally, the fine print….

For Kimberly-Clark to grow and prosper, we must be an inclusive organization that applies the diverse experiences and passions of its team members to brands that make life better for people all around the world. We actively seek to build a workforce that reflects the experiences of our consumers. When you bring your original thinking to Kimberly-Clark, you fuel the continued success of our enterprise. We are a committed equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, sexual orientation, gender identity, age, pregnancy, genetic information, citizenship status, or any other characteristic protected by law.

The statements above are intended to describe the general nature and level of work performed by employees assigned to this classification. Statements are not intended to be construed as an exhaustive list of all duties, responsibilities and skills required for this position.

Employment is subject to verification of pre-screening tests, which may include drug screening, background check, and DMV check.

Primary Location

IT Centre Bengaluru GDTC

Additional Locations

Buenos Aires - Olivos Office

Worker Type

Employee

Worker Sub-Type

Regular

Time Type

Full time