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Data Scientist

Nestlé

$115,000 - $125,000
Dec 5, 2025
Remote, US
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Nestlé is seeking to drive business growth and operational efficiency through the development and deployment of advanced analytics and artificial intelligence solutions

Requirements

  • Proficiency in machine learning techniques such as regression, clustering, AI, and deep learning
  • Strong programming skills in Python and R
  • Experience with big data technologies including Databricks, Azure ML, Apache Spark, Snowflake, AWS, and BigQuery
  • Ability to transform raw data into meaningful features for modeling
  • Experience with A/B testing, experimental design, and causal inference techniques
  • Expertise in data visualization tools such as Power BI and Tableau
  • Experience with retail analytics, advertising data, and familiarity with Amazon Marketing Cloud (AMC) is a plus

Responsibilities

  • Develop and implement advanced data science solutions to support business decision-making and performance optimization
  • Analyze large, complex datasets to identify patterns and build robust statistical and machine learning models
  • Design deep learning and natural language processing models to analyze complex business data
  • Monitor, evaluate, and refine deployed models to ensure accuracy and relevance over time
  • Research and evaluate emerging AI technologies to identify the best tools and platforms for organizational needs
  • Integrate the latest data science innovations into product solutions to enhance analytical and automation capabilities
  • Transform raw data into actionable insights, developing recommendation engines for sales, customer targeting, and supply chain optimization

Other

  • Bachelor’s degree in Computer Science, Data Science, Mathematics, Physics, Operations Research, Statistics, or a related field
  • Advanced degree (Master’s or PhD) preferred
  • 5+ years of experience as a Data Scientist, Machine Learning Engineer, or Applied Scientist
  • Strong communication skills with the ability to convey complex insights to diverse audiences
  • Collaborate with cross-functional teams and stakeholders to align analytical projects with business objectives