Data Scientist
hace 7 días
We are seeking a seasoned Data Scientist to join our high-performance team, driving innovation and growth through data-driven solutions. As an integral part of our enterprise vision, you will be responsible for developing and implementing advanced analytics capabilities, transforming the way we make decisions and drive business outcomes.
About Us
Kimberly-Clark is a global leader in consumer goods, committed to delivering better care for billions of people worldwide. With a rich history of market leadership and a passion for innovation, we empower our teams to push boundaries and explore new opportunities.
Your Key Responsibilities
* Collaborate with cross-functional teams to identify high-priority projects and develop tailored data science strategies
* Design and implement prescriptive analytics models, leveraging your expertise in mathematical optimization techniques and machine learning methods
* Engage stakeholders through clear communication and visualization, ensuring seamless collaboration and decision-making
* Develop and maintain high-quality, scalable data science solutions, prioritizing performance, interpretability, and explainability
What We Offer
* Competitive salary: $120,000 - $180,000 per year, commensurate with experience
* Comprehensive benefits package, including medical, dental, and vision coverage, as well as flexible savings and spending accounts
* Opportunities for professional growth and development, with access to cutting-edge technologies and training programs
* A dynamic, inclusive work environment that values diversity, equity, and inclusion
Requirements
* 3+ years of hands-on experience in data science projects, with a strong background in quantitative fields (e.g., Engineering, Computer Science, Statistics, Economics, or Mathematics)
* Proficiency in SQL and at least one other programming language (e.g., R, Python, C++, Minitab, SAS, Matlab, VBA)
* Experience with data visualization tools (e.g., Power BI, Tableau, Qlik, D3, Shiny)
* Theoretical or practical knowledge of mathematical optimization techniques (e.g., linear and non-linear optimization, mixed integer programming, sensitivity analysis, constraint programming)
* Experience in machine learning methods (e.g., multivariate regression, feature engineering, random forests, XGBoost, elastic nets, hierarchical bayesian regression, unsupervised learning, clustering/segmentation)
* Excellent communication and interpersonal skills, with the ability to engage stakeholders and lead collaborative efforts
Location
This role is available for local candidates already authorized to work in Argentina.
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