Data Science Innovation Lead

hace 4 días

Córdoba, Córdoba, Argentina Kimberly-Clark A tiempo completo
Transforming Commercial Excellence with Data-Driven Insights

We're on a mission to revolutionize the way we make business decisions at Kimberly-Clark, and we need your expertise as a skilled Data Scientist to help us get there.

Your role will be pivotal in delivering better care for billions of people worldwide by harnessing the power of data-driven insights. You'll work closely with our Data Science Strategy Leader to identify high-priority projects that require prescriptive analytics, develop innovative solutions, and collaborate with cross-functional teams to drive impact.

About This Role
  • You'll be responsible for building Proof-of-Concept data science models, acquiring, cleansing, and harmonizing data, analyzing trends, and identifying opportunities for optimization.
  • Engage stakeholders through regular 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 senior leadership teams.
What We Offer

As a valued member of our team, you'll enjoy a range of benefits, including:

  • Medical, dental, and vision coverage options with no waiting periods or pre-existing condition restrictions.
  • Flexible savings and spending accounts to maximize healthcare options and stretch dollars when caring for yourself or dependents.
  • Diverse income protection insurance options to safeguard yourself and your family in case of illness, injury, or unexpected events.
  • Additional programs and support to continue your education, adopt a child, relocate, or find temporary childcare.
Key Qualifications and Experiences
  • 3+ years of hands-on involvement in data science projects (research or consulting experience is a plus).
  • 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).
  • Theoretical or practical experience in 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).

We estimate an annual salary of $120,000 - $160,000, commensurate with experience and qualifications, based on market rates for similar roles in the area of São Paulo, Brazil.

Please note that this compensation range is an estimate and may vary depending on individual circumstances. Additional information about benefits and compensation is available upon request.

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