Jobs at Nestle – Lead Data Scientist

Job Description:

As a Lead Data Scientist, you will be responsible for rapidly delivering analytical solutions to functional areas of the business such as Manufacturing, Sales, Marketing, etc. Through Microsoft Azure, you will help deliver insights to both Product Owners and Product Users. You will collaborate with fellow Data Scientists and others to execute and deliver working solutions to end users. Working as a collaborative member of thehive team, you will use data science and machine learning techniques to help drive deep data analysis and uncover insights that will enable the business to make strong and strategic decisions.

Job Responsibilities:

• Participate in the end-to-end lifecycle of analytics and data projects through the use of DevOps, code and model management, CI/CD and other industry standard practices that enable analytics at scale
• Knows how to calculate real and estimated business value return for various analytical use cases
• Models statistical and analytical solutions to business challenges using diagnostic, prescriptive and predictive techniques by collecting, analyzing, and interpreting large data sets
• Supports analytical maturity through evangelizing and providing insights to key business and internal stakeholders and is viewed as a coach by other data scientists
• Visualize and communicate insights using visualization tools such as Power BI
• Utilizes analytical, statistical, and programming skills to understand how possible analytical techniques align to business questions and challenges across the Purina enterprise
• Work with functional business partners to fully understand their data and enable insight discovery
• Embeds successful value generating models as key components in industrialized solutions within operations through collaboration with Solution Architects or Data Engineers

Job Requirements:

• Experience with AZURE or similar cloud platform
• Experience with query languages such as SQL, MDX, and DAX
• Experience with internal or external customer-facing consultation
• Professional experience in creating visualizations and using tools to present/tell the story of the results (PowerBI or Tableau)
• 2+ years professional experience in a data science role
• Advanced proficiency in Python or PySpark and use of relevant libraries (such as MLlib) previously delivering business value
• Bachelor’s Degree or higher in Data Science, Computer Science, or related field
• Professional experience in building, training, and testing AI/ ML models based on the data
• Basic understanding of Agile and CI/CD DevOps principles
• 5+ years of professional experience in data analysis

Job Details:

Company: Nestlé

Vacancy Type:  Full Time

Job Location: St. Louis, MO, US

Application Deadline: N/A

Apply Here

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