Sr Data Scientist

You are not the person who will settle for just any role. Neither are we. Because we are 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 will bring your professional expertise, talent, and drive to building and managing our portfolio of iconic, ground-breaking brands. In this role, you will help us deliver better care for billions of people around the world. It starts with YOU. 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. At Kimberly-Clark, you will be part of the best team committed to driving innovation, growth, and impact. We are founded on more than 150 years of market leadership, and we are 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. 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 are constantly exploring new ideas on how, when, and where we can best achieve results. When you join our team, you will 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. In one of our technical roles, you will 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 a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field. You should have 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.) is required. Hands-on experience with Databricks, Azure ML, and Azure Functions is a plus. Experience building and deploying generative AI models and AI agents using frameworks like LangChain or Semantic Kernel is desired. Solid understanding of statistical modeling, machine learning, and experimental design is essential. Experience working with large datasets and distributed computing frameworks (e.g., Spark) is preferred. Familiarity with Snowflake, SAP data structures, and enterprise data integration patterns is an advantage. Excellent communication and stakeholder management skills are necessary. Experience in the IFP segment or similar domains (e.g., healthcare, B2B/B2C sales) is beneficial. Exposure to deep learning and generative AI frameworks (e.g., Hugging Face Transformers, OpenAI APIs) is a plus. Knowledge of MLOps practices and CI/CD for model deployment and familiarity with responsible AI principles and data privacy standards are important. 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. 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.,