Senior Data Scientist

Join Nestlé Health Science’s Consumer Insights and Analytics team to build and deploy advanced analytics and AI solutions that support business outcomes across Marketing and Sales.

Responsibilities

• Develop and implement data science solutions that enable data-driven decision-making and support Consumer Insights & Analytics priorities
• Work with large, complex datasets to uncover patterns, build statistical and machine learning models, and address business problems using big data tools such as Databricks, Azure ML, and Apache Spark
• Deliver structured data storytelling through strong data visualization to drive impactful decisions
• Design deep learning and natural language processing (NLP) models to analyze complex information across business processes
• Continuously monitor deployed models, evaluate performance, and refine models to maintain accuracy and relevance over time
• Research, test, and evaluate AI technologies to identify the best tools and platforms for business objectives
• Incorporate data science innovations into product solutions to improve data, analytical, and automation capabilities
• Partner with cross-functional teams and stakeholders to provide expertise across omnichannel analytical projects and keep work aligned to business goals
• Build, maintain, and enhance analytics tools to increase capability and speed to value

Requirements

• Bachelor’s, Master’s, or Ph.D. in Computer Science, Data Science, Mathematics, Physics, Operations Research, Statistics, or a related field
• 5+ years experience as a Data Scientist, Machine Learning Engineer, or Applied Scientist, focused on computer vision, natural language processing, or data synthesis
• Experience developing and deploying advanced analytical models and algorithms
• Practical machine learning experience, including Regression, Clustering, Probability Networks, AI, and Deep Learning
• Hands-on programming experience in Python and R, using advanced cognitive and machine learning methods to solve business challenges
• Experience with relational databases and cloud technologies including Databricks, Snowflake, AWS, Azure ML, AMC, and BigQuery
• Experience transforming raw data into meaningful features for machine learning models
• Expertise working with missing data, scaling, encoding categorical variables, and dimensionality reduction techniques
• Hands-on experience designing and analyzing A/B tests and other experimental methodologies
• Hands-on experience with causal inference to measure impact of business decisions
• Experience visualizing and presenting data-driven insights using Power BI and Tableau
• Experience building recommendation engines for sales, customer targeting, or supply chain optimization use cases
• Experience building and implementing optimization models to improve decision-making
• Familiarity with agile methodologies and rapid prototyping in data science projects
• Strong knowledge of industry-standard tools and methodologies for model training, statistical analysis, and machine learning deployment
• Experience with CPG and ecommerce datasets, including retail analytics and advertising data, is a plus
• Experience with AMC (Amazon Marketing Cloud) and Amazon advertising and sales data will receive priority consideration

Technologies

• Python, R
• Databricks, Azure ML, Apache Spark
• Snowflake, AWS, AMC, Big Query
• Power BI, Tableau

Location

• Bridgewater, NJ (hybrid)

Compensation

• USD 130,000 - 160,000 per year
• Final compensation may vary based on knowledge, skills and abilities, as well as geographic location

Benefits

• Performance-based incentives
• 401k with company match
• Healthcare coverage
• Broad range of other benefits
• Competitive total rewards package