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As Sr Data Scientist, you would not only get to solve these business questions but also improve data science capabilities across various Nestle Business Entities. You will collaborate with different business users across the enterprise to drive the creation and development of business cases to achieve new insights. Your subject matter expertise with predictive modeling will he
Un día en la vida de...
• Partner with Market functions, Globally and Regionally Managed Businesses, and Above Market entities to build and deliver a portfolio of advanced analytics initiatives
• Work closely with Market and Centre Functions, Globally and Regionally Managed Businesses, and above Market entities to identify and answer business problems/questions using appropriate modeling techniques on available data
• Evangelize and provide advisory services around data science capabilities and knowledge within Nestle. Monitor data science trends, identify implications, and proactively build Nestlé capabilities.
• Collaborate with other Business Analytics teams and networks to utilize new sources of data, for the purpose of developing insights and applicability across markets
• Provide enablement services around predictive, diagnostic, and optimization analytics.
• Conduct end-to-end analyses -- work that includes data gathering from various data storage platforms, requirements specification, data processing tasks, various analysis techniques, ongoing business deliverables, and internal customer presentations.
Lo que te hará exitoso...
• Bachelor’s degree or higher (Engineering/ Computer Science /Mathematics/Statistics/ social sciences)
• + 3 years of experience in Analytics embedded in Business organizations
• At least 3 years of excellent hands on experience developing advance predictive models to solve business problems
• At least 3 years of experience working in a coding language such as R, SQL, Python or similar language
• Expert ability in Univariate/Multivariate Statistics, Bayesian Statistics, or Simulation Modeling
• Expert ability on data visualization techniques and experience with software.