Data Scientist, R&D at Church and Dwight in Princeton, NJ

Job description

A collective energy and ambition. A place where you can make a real difference. We’re a company that genuinely cares about our people, our products, our consumers and the environment. Our unique, informal culture champions courage, determination and collaboration. Knowing we have an open and supportive team means each of us has the freedom to take responsibility and ownership. We have a shared passion to work hard, innovate and push boundaries. United by the belief that when we strive for growth, anything is possible. While we might not be the largest company in our industry, we believe we can have the biggest impact because: Together We Have the Power to Win. Job Summary Church & Dwight is seeking a Data Scientist to join our R&D Agentic Pod team, which is responsible for designing, building, deploying, and scaling AI-powered products that transform how R&D teams make decisions and operate. The Data Scientist, R&D Agentic Pod combines rigorous statistical and machine learning expertise with strong research & development process acumen to solve high-value challenges across consumer insights, product development, packaging, manufacturing processing, quality, and regulatory. About the Role The Data Scientist, R&D will develop predictive, prescriptive, optimization, measurement and performance monitoring solutions; translate complex data into practical recommendations; and help embed analytical outputs into decision-support products and AI-enabled workflows. Working closely with R&D, Quality, & Regulatory stakeholders, AI Champions, GTA partners, analytics leaders, data engineering teams, and AI Engineers, this role contributes across the full solution lifecycle, from opportunity identification and model development through deployment, adoption, measurement, and continuous improvement. Success in this role will be measured by analytical rigor, model quality, usefulness of recommendations, user adoption, and measurable commercial impact. The role sits within the Global R&D Innovation & AI organization, reporting to the Lead, R&D Agentic Pod. Work Environment Hybrid: This is a hybrid role based in Princeton, NJ, and requires in- person attendance on Tuesdays, Wednesdays, and Thursdays, with remote work options on Mondays and Fridays. Role Accountabilities and Responsibilities Partner with R&D, Quality, Regulatory, and Consumer Insights teams to frame business questions, define decision criteria, identify high-value analytics opportunities, evaluate and prioritize opportunities based on business value, analytical feasibility, data readiness, scalability, risk, and strategic alignment. Develop predictive, prescriptive, segmentation, recommendation, propensity, forecasting, causal, experimental, and optimization solutions using structured and unstructured data. Build, validate, maintain, and monitor machine learning models in Python using scikit-learn, XGBoost, or comparable frameworks. Define features, assumptions, validation methods, performance metrics, and monitoring plans; assess bias, stability, explainability, failure modes, and business relevance. Design test-and-learn and measurement frameworks to quantify incremental impact and translate findings into clear recommendations, scenarios, and decision tools. Create proofs of concept and minimum viable analytical products; embed models and measurement logic into dashboards, applications, agents, and other decision-support experiences. Partner with AI Engineers, GTA, Enterprise Data Platform, and data engineering teams to productionize solutions and enable reliable, reusable, analysis-ready datasets; identify data quality, coverage, and availability gaps and recommend practical remediation approaches or viable analytical alternatives. Document methodologies, assumptions, limitations, data lineage, and intended use; ensure compliance with data governance, privacy, security, and responsible AI requirements. Drive adoption through stakeholder communication, training, reusable best pr