Data Scientist

About The CompanyNestl 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. Nestl 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. Nestl'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.Qualifications

• Bachelors degree in Computer Science, Data Science, Mathematics, Physics, Operations Research, Statistics, or a related field
• Advanced degree (Masters or PhD) preferred
• 5+ years of experience as a Data Scientist, Machine Learning Engineer, or Applied Scientist
• Proven experience in developing and deploying advanced analytical models and algorithms
• Proficiency in machine learning techniques including regression, clustering, probability networks, AI, and deep learning
• Strong programming skills in Python and R
• Experience with big data technologies such as Databricks, Azure ML, Apache Spark, Snowflake, AWS, and BigQuery
• Expertise in transforming raw data into meaningful features and handling data preprocessing tasks
• Experience in designing and analyzing A/B tests and other experimental methodologies
• Knowledge of causal inference techniques
• Proficiency in data visualization tools such as Power BI and Tableau
• Experience with optimization models and agile project methodologies
• Familiarity with retail analytics, advertising data, and eCommerce datasets is a plus
• Excellent communication and presentation skills to convey complex insights effectively

Responsibilities

• Develop and implement innovative data science solutions to support business objectives and improve performance
• Analyze large, complex datasets to identify patterns, build statistical and machine learning models, and solve critical business problems
• Design and deploy deep learning and natural language processing models for complex data analysis
• Monitor, evaluate, and optimize the performance of deployed models to ensure accuracy and relevance over time
• Research, evaluate, and incorporate new AI technologies and platforms to enhance analytical capabilities
• Integrate the latest data science innovations into products and automation solutions
• Collaborate with cross-functional teams and stakeholders to align analytics initiatives with business goals
• Build, maintain, and improve analytics tools to accelerate insights delivery and value realization
• Transform raw data into meaningful features, ensuring data quality and consistency
• Design and analyze experiments, including A/B testing, to validate models and strategies
• Apply causal inference techniques to assess the impact of business decisions
• Develop recommendation engines for sales, customer targeting, and supply chain optimization
• Contribute to continuous improvement of data science methodologies and best practices within the organization

Benefits

• Performance-based incentives and a competitive total rewards package
• 401(k) plan with company match
• Comprehensive healthcare coverage
• Opportunities for professional development and career growth
• Support for physical, financial, and emotional wellbeing
• Flexible work arrangements (remote or hybrid based on location)
• Inclusive and diverse workplace culture fostering innovation and collaboration

Equal OpportunityNestl 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.