Job description

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 OVERVIEW: We are looking for a Senior Data Scientist to develop and deploy advanced analytics and AI solutions that drive business impact in Consumer Insights and Analytics team. As a Strategic Partner to Marketing and Sales teams, success in this role requires a strong analytical mindset, expertise in building machine learning models, optimizing performance, and integrating cutting-edge technologies to enhance decision-making and automation. KEY 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. EXPERIENCE AND EDUCATION REQUIREMENTS: • Bachelor’s, Master’s, or Ph.D. in Computer Science, Data Science, Mathematics, Physics, Operations Research, Statistics, or a related field. • 5+ years of experience as a Data Scientist, Machine Learning Engineer, or Applied Scientist, specializing in computer vision, natural language processing, or data synthesis. • Experience developing and deploying advanced analytical models and algorithms. • Experience applying machine learning techniques, including Regression, Clustering, Probability Networks, Artificial Intelligence (AI), and Deep Learning. • Hands-on programming experience in Python and R, leveraging advanced cognitive and machine learning methods to solve business challenges. • Experience working with relational database and cloud computing technologies such as Databricks, Snowflake, AWS, Azure ML and AMC, Big Query. • Experience in transforming raw data into meaningful features for machine learning models. • Expertise in handling missing data, scaling, encoding categorical variables, and dimensionality reduction techniques. • Hands on experience in designing and analyzing A/B tests and other experimental methodologies. • Hands on experience in causal inference techniques to measure the impact of business decisions. SKILLS: • Experience visualizing and presenting data-driven insights using Power BI and Tableau. • Experience in developing recommendation engines for applications such as sales, customer targeting, or supply chain optimization. • Experience in building and implementing optimization models to enhance decision-making processes. • 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 working with CPG and ecommerce data sets, including retail analytics and advertising data, is a plus. • Candidates that have experience working with AMC (Amazon Marketing Cloud) and Amazon advertising and sales data will be given priority consideration. 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, NJ. The approximate pay range for this position is $130,000 to $160,000. 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. Nestlé 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 benefit packages may vary depending on the position. Learn more at About Us | Nestlé Careers (nestlejobs.com ). #LI-EF1 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. The Nestlé Companies are equal employment opportunity employers. All applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status or any other characteristic protected by applicable law. Prior to the next step in the recruiting process, we welcome you to inform us confidentially if you may require any special accommodations in order to participate fully in our recruitment experience. Contact us at accommodations@nestle.com or please dial 711 and provide this number to the operator: 1-800-321-6467. This position is not eligible for Visa Sponsorship. Review our applicant privacy notice before applying at nestlejobs.com. Job Requisition: 413100

Requirements

Must-haves

Join us to innovate for impact and reimagine the future of health and nutrition for patients and consumers.
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.
Bachelor’s, Master’s, or Ph.D. in Computer Science, Data Science, Mathematics, Physics, Operations Research, Statistics, or a related field.
5+ years of experience as a Data Scientist, Machine Learning Engineer, or Applied Scientist, specializing in computer vision, natural language processing, or data synthesis.
Experience developing and deploying advanced analytical models and algorithms.
Experience applying machine learning techniques, including Regression, Clustering, Probability Networks, Artificial Intelligence (AI), and Deep Learning.
Hands-on programming experience in Python and R, leveraging advanced cognitive and machine learning methods to solve business challenges.
Experience working with relational database and cloud computing technologies such as Databricks, Snowflake, AWS, Azure ML and AMC, Big Query.
Experience in transforming raw data into meaningful features for machine learning models.
Expertise in handling missing data, scaling, encoding categorical variables, and dimensionality reduction techniques.
Hands on experience in designing and analyzing A/B tests and other experimental methodologies.
Hands on experience in causal inference techniques to measure the impact of business decisions.
Experience visualizing and presenting data-driven insights using Power BI and Tableau.
Experience in developing recommendation engines for applications such as sales, customer targeting, or supply chain optimization.
Experience in building and implementing optimization models to enhance decision-making processes.
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.
Candidates that have experience working with AMC (Amazon Marketing Cloud) and Amazon advertising and sales data will be given priority consideration.

Nice-to-haves

Experience working with CPG and ecommerce data sets, including retail analytics and advertising data, is a plus.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimachine learningazuremlpythonawsagile

Platform: successfactors
Effort: medium

Benefits

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Vision

401k

Wellness