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About Us
Kimberly-Clark is a leading global healthcare company that has been a trusted partner to consumers and healthcare professionals for over 150 years. Our mission is to create better care for a better world, and we're committed to driving innovation, growth, and impact through our data-driven approach.
About the Role
We're seeking a highly skilled Data Scientist to join our team in Argentina. As a Data Scientist, you'll play a critical role in helping us deliver better care for billions of people around the world. You'll work closely with our Data Science Strategy Leader to develop high-risk, high-reward data science solutions that will unlock future growth of analytics-based solutions across the enterprise.
Main Responsibilities
- Work with the Data Science Strategy Leader to define data science use cases with a bias towards problems requiring prescriptive analytics, propose potential modeling approaches, assess feasibility, estimate effort and data requirements, draft project plans.
- Build Proof-of-Concept data science models: acquire, cleanse, and harmonize data, analyze, and identify appropriate optimization algorithms, build models that are interpretable, explainable, and sustainable at scale and meets the business needs.
- Engage stakeholders, including product and business teams, through frequent check-ins, progress updates, visualizations, and interactive dashboards designed for non-technical audiences.
- Interpret model outputs, draw actionable insights, present findings, and make recommendations to cross-functional and senior leadership teams.
- Collaborate with Enterprise AI/ML product teams and DTS Delivery teams to scale proven high value Proof-of-Concept models where enterprise certified products are required.
Key Qualifications and Experiences
- 3+ years of experience with hands-on involvement in data science projects (research or consulting experience is a plus; experience in CPG/Retail, Digital Supply Chain, Digital Manufacturing).
- A bachelor's degree in a quantitative field (e.g., Engineering, Computer Science, Statistics, Economics, or Mathematics) - An advanced degree in a quantitative field is preferred and will be accepted in lieu of 2 years of experience.
- Proficiency in SQL and any one other programming language (e.g., R, Python, C++, Minitab, SAS, Matlab, VBA – knowledge of optimization engines such as CPLEX or Gurobi is a plus).
- Proficiency in any data visualization software (e.g., Power BI, Tableau, Qlik, D3, Shiny).
- Theoretical or practical experience in mathematical optimization techniques (e.g. linear and non-linear optimization, mixed integer programming, sensitivity analysis, constraint programming etc.).
- Experience in machine learning methods (e.g. multivariate regression, feature engineering, random forests, XGBoost, elastic nets, hierarchical bayesian regression, unsupervised learning, clustering/segmentation).
- Effective, clear and compelling communication skills to engage stakeholders and maintain their engagement throughout the process.
- Self-starter who can see the big picture, look ahead to identify opportunities, and prioritize your work to make the largest impact on the businesses and customer's vision and requirements.
Total Benefits
We offer a comprehensive benefits package that includes medical, dental, and vision coverage options with no waiting periods or pre-existing condition restrictions. We also offer flexible savings and spending accounts to maximize healthcare options and stretch dollars when caring for yourself or dependents.
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.
