Data Scientist

About The CompanyNestlé Health Science is a global leader dedicated to merging nutrition, science, and wellness to promote healthier lives. With a diverse portfolio of renowned brands such as Garden of Life®, Nature's Bounty®, Vital Proteins®, Orgain®, Nuun®, BOOST®, Carnation Breakfast Essentials®, Peptamen®, and Compleat Organic Blends®, the company emphasizes innovation in both consumer health products and pharmaceutical solutions. Nestlé Health Science's extensive expertise in gastrointestinal and metabolic-related medicines underscores its commitment to advancing health through science-driven solutions. The organization fosters a culture of collaboration, entrepreneurial spirit, and professional growth, offering dynamic career paths, learning opportunities, and benefits that support physical, financial, and emotional wellbeing. Nestlé's inclusive environment values diverse perspectives and encourages bold ideas to shape the future of health and nutrition for patients and consumers worldwide.About The RoleWe are seeking a highly skilled Lead Data Scientist to lead the development and deployment of advanced analytics and artificial intelligence solutions within our Consumer Insights and Analytics team. This strategic role involves partnering closely with Marketing and Sales teams to leverage data science expertise for building machine learning models, optimizing processes, and driving data-driven decision-making. The successful candidate will play a pivotal role in enhancing organizational performance through innovative analytics solutions, automation, and insights that directly impact business strategies. This position offers flexibility for remote or hybrid work, with preferred locations including Bridgewater, New Jersey, Chicago, Illinois, Palm Beach Gardens, Florida, and Long Island, New York. The Lead Data Scientist will be instrumental in translating complex data into actionable insights, fostering cross-functional collaboration, and ensuring the continuous improvement of analytics tools and models to meet evolving business needs.QualificationsBachelor’s degree in Computer Science, Data Science, Mathematics, Physics, Operations Research, Statistics, or a related fieldAdvanced degree (Master’s or PhD) preferred5+ years of experience as a Data Scientist, Machine Learning Engineer, or Applied ScientistProven experience in developing and deploying advanced analytical models and algorithmsProficiency in machine learning techniques including regression, clustering, probability networks, AI, and deep learningStrong programming skills in Python and RExperience with big data technologies such as Databricks, Azure ML, Apache Spark, Snowflake, AWS, and BigQueryExpertise in transforming raw data into meaningful features and handling data preprocessing tasksExperience in designing and analyzing A/B tests and other experimental methodologiesKnowledge of causal inference techniquesProficiency in data visualization tools such as Power BI and TableauExperience with optimization models and agile project methodologiesFamiliarity with retail analytics, advertising data, and eCommerce datasets is a plusExcellent communication and presentation skills to convey complex insights effectivelyResponsibilitiesDevelop and implement innovative data science solutions to support business objectives and improve performanceAnalyze large, complex datasets to identify patterns, build statistical and machine learning models, and solve critical business problemsDesign and deploy deep learning and natural language processing models for complex data analysisMonitor, evaluate, and optimize the performance of deployed models to ensure accuracy and relevance over timeResearch, evaluate, and incorporate new AI technologies and platforms to enhance analytical capabilitiesIntegrate the latest data science innovations into products and automation solutionsCollaborate with cross-functional teams and stakeholders to align analytics initiatives with business goalsBuild, maintain, and improve analytics tools to accelerate insights delivery and value realizationTransform raw data into meaningful features, ensuring data quality and consistencyDesign and analyze experiments, including A/B testing, to validate models and strategiesApply causal inference techniques to assess the impact of business decisionsDevelop recommendation engines for sales, customer targeting, and supply chain optimizationContribute to continuous improvement of data science methodologies and best practices within the organizationBenefitsPerformance-based incentives and a competitive total rewards package401(k) plan with company matchComprehensive healthcare coverageOpportunities for professional development and career growthSupport for physical, financial, and emotional wellbeingFlexible work arrangements (remote or hybrid based on location)Inclusive and diverse workplace culture fostering innovation and collaborationEqual OpportunityNestlé is an equal employment opportunity employer. We are committed to creating an inclusive environment where all individuals are treated with respect and dignity. We welcome applications from all qualified candidates regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other characteristic protected by law. We also accommodate applicants with disabilities during the recruitment process. We value diversity and are dedicated to fostering an environment of equity and inclusion for everyone.