Nestle Health Science is looking to leverage advanced analytics and artificial intelligence to enhance consumer insights, optimize business processes, and drive data-driven decision-making within their Marketing and Sales teams to improve health and nutrition outcomes.
Requirements
- Proven experience in developing and deploying advanced analytical models and algorithms
- Proficiency in machine learning techniques including regression, clustering, AI, deep learning, and natural language processing
- Strong programming skills in Python and R
- Experience with big data technologies such as Databricks, Azure ML, Apache Spark, Snowflake, AWS, and BigQuery
- Ability to transform raw data into meaningful features for modeling
- Experience in designing and analyzing A/B tests and causal inference methodologies
- Proficiency in data visualization tools such as Power BI and Tableau
Responsibilities
- Develop and implement advanced data science solutions to support decision-making and optimize business performance within Consumer Insights & Analytics
- Analyze large, complex datasets to identify patterns, build statistical and machine learning models, and solve critical business challenges
- Design deep learning and natural language processing models to analyze complex data across various business processes
- Monitor, evaluate, and refine deployed models to ensure ongoing accuracy and relevance
- Research, test, and evaluate emerging AI technologies and platforms to ensure the best tools are utilized for business objectives
- Integrate the latest data science innovations into product solutions to enhance data, analytics, and automation capabilities
- Build, maintain, and improve analytics tools to accelerate insights delivery and value realization
Other
- Act as a strategic partner to the Marketing and Sales teams
- Collaborate closely with cross-functional teams and stakeholders to align analytical projects with business goals
- Transform raw data into actionable insights through visualization and storytelling
- Excellent communication skills for translating technical insights into business strategies
- Minimum of 5 years of experience as a Data Scientist, Machine Learning Engineer, or Applied Scientist
