Lead Data Scientist

At Nestlé Health Science, we believe that nutrition, science, and wellness must merge, not collide. Here, we embrace the intrinsic connections of these three pillars, harnessing their collective strength to empower healthier lives. Our broad product portfolio includes renowned brands like Garden of Life®, Nature's Bounty®, Vital Proteins®, Orgain®, Nuun®, BOOST®, Carnation Breakfast Essentials®, Peptamen®, Compleat Organic Blends®, and more. We also have extensive pharmaceutical expertise, offering innovative medicines that aim to prevent, manage, and treat gastrointestinal and metabolic-related diseases.

At Nestlé Health Science, we bring our best for better lives. Our people are challenged to bring fresh, diverse views and make bold moves to empower healthier lives through nutrition. We know brilliant ideas can come from anyone, anywhere. Here we embrace the entrepreneurial spirit and collaborate with teams that champion focused and forward thinking. We are committed to fostering professional growth and celebrating the achievements of our people along the way. We offer dynamic career paths, robust development, opportunities to learn from talented colleagues around the globe, and benefits that support physical, financial, and emotional wellbeing.

Join us to innovate for impact and reimagine the future of health and nutrition for patients and consumers.

Position Summary :

We are seeking a Lead Data Scientist to spearhead the development and deployment of advanced analytics and AI solutions within our Consumer Insights and Analytics team. In this pivotal role, you will serve as a strategic partner to the Marketing and Sales teams, leveraging your analytical expertise to build machine learning models and optimize performance. Your work will directly enhance decision-making and automation, driving significant business impact and shaping the future of our organization.

This position will be either a remote or hybrid role based on the selected candidate's geographic location. Preference will be given to applicants who live within a commutable distance of Bridgewater, New Jersey / Tri-State area, Chicago, Illinois, Palm Beach Gardens, Florida and / or within the Long Island, New York areas.

Responsibilities :

Advanced Analytics & Insights : Develop and implement data science solutions, leveraging advanced analytics to drive data-driven decision-making, optimize business performance, and support Consumer Insights & Analytics priorities

Data Analysis & Modeling : Analyze large and complex datasets to identify patterns, build statistical and machine learning models, and solve critical business problems using big data technologies like Databricks, Azure ML, and Apache Spark, as well as strong data visualization for structured storytelling to drive impactful business decisions

Developing Advanced Models : Design deep learning and natural language processing models to analyze complex data across business processes

Model Monitoring & Performance Optimization : Continuously track, evaluate, and refine deployed models to maintain accuracy and relevance over time

AI Research & Evaluation : Research, test, and evaluate AI technologies to ensure the best tools and platforms are used for achieving business objectives

Enhancing Analytical Capabilities : Integrate the latest data science innovations into product solutions, enhancing data, analytical, and automation capabilities

Cross-Functional Collaboration : Work closely with cross-functional teams and stakeholders to provide expertise across omnichannel analytical projects and ensure alignment with business goals

Tool Development & Maintenance : Build, maintain, and improve analytics tools to enhance capabilities and accelerate speed to value

Requirements :

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, with a focus on computer vision, natural language processing, or data synthesis

Proven experience in developing and deploying advanced analytical models and algorithms

Proficient in applying machine learning techniques, including regression, clustering, probability networks, AI, and deep learning

Strong programming skills in Python and R, utilizing advanced cognitive and machine learning methods to address business challenges

Direct experience with relational databases and cloud technologies such as Databricks, Snowflake, AWS, Azure ML, and BigQuery

Skilled in transforming raw data into meaningful features for machine learning models

Expertise in handling missing data, scaling, encoding categorical variables, and dimensionality reduction

Experience in designing and analyzing A / B tests and other experimental methodologies

Proficient in causal inference techniques to assess the impact of business decisions

Proficient in visualizing and presenting data-driven insights using Power BI and Tableau, and developing recommendation engines for sales, customer targeting, and supply chain optimization

Experienced in building optimization models to enhance decision-making and familiar 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; priority consideration for candidates with AMC (Amazon Marketing Cloud) and Amazon advertising experience

Skills :

Strong knowledge of industry-standard tools and methodologies for model training, statistical analysis, and machine learning deployment, with experience in CPG and eCommerce datasets, including retail analytics and advertising data

Ability to translate complex data insights into actionable business strategies

Exceptional communication and presentation skills with the ability to convey complex technical topics to diverse audiences, including data scientists, engineers, and business partners

The approximate pay range for this position is $115,000- $125,000 base. Please note that the pay range provided is a good faith estimate for the position at the time of posting. Final compensation may vary based on factors including but not limited to knowledge, skills, and abilities as well as geographic location.

Nestle offers performance-based incentives and a competitive total rewards package, which includes a 401k with company match, healthcare coverage and a broad range of other benefits. Incentives and / or benefits packages may vary depending on the position. Learn more at :

About Us | Nestlé Careers (nestlejobs.com) ()

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It is our business imperative to remain a very inclusive workplace.

To our veterans and separated service members, you're at the forefront of our minds as we recruit top talent to join Nestlé. The skills you've gained while serving our country, such as flexibility, agility, and leadership, are much like the skills that will make you successful in this role. In addition, with our commitment to an inclusive work environment, we recognize the exceptional engagement and innovation displayed by individuals with disabilities. Nestlé seeks such skilled and qualified individuals to share our mission where you'll join a cohort of others who have chosen to call Nestlé home.

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Job Requisition : 376081