Digital Scientist

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. Digital Scientist Job Summary / About the Role Church & Dwight is seeking a Digital Scientist. This position will be located onsite at our Princeton, New Jersey location. Work Model: This is an onsite role based at Church & Dwight’s Princeton, New Jersey location. Occasional work in laboratory environments may be required. Minimal travel is expected (less than 10%). The Digital Scientist will design, build, and scale practical digital tools and solutions that accelerate consumer research, laboratory operations, and artificial intelligence-enabled innovation within the Consumer Experience & Design Capabilities Group in Research & Development. This role will improve data access and decision-making, support responsible artificial intelligence governance and solution delivery, and develop digital methods for product screening and performance evaluation. The ideal candidate will bring strong expertise in computer science, data science, statistics, analytics, and digital transformation, with a proven ability to translate business needs and emerging technologies into actionable insights, scalable workflows, and measurable impact. Working with limited guidance, this role will manage routine work, contribute to moderately complex projects, and collaborate across consumer science, laboratory teams, Information Technology, and other functions. Role Accountabilities and Responsibilities Digital Analytics: Lead moderately complex projects that improve how consumer research, laboratory, and project data are captured, connected, visualized, and used for decision-making across Research & Development. Data Visualization: Design, build, and maintain dashboards, reports, and visual analytics tools using platforms such as Power BI to monitor research outcomes, laboratory workflows, project performance, and capability metrics. Data Integration and Quality: Develop and improve data pipelines, integrations, templates, and structured data models that increase data quality, consistency, traceability, and artificial intelligence readiness across Laboratory Information Management Systems, SharePoint, digital bundle books, and related platforms. Model Development: Apply data science, statistics, and digital technologies to build or support predictive, classification, trend-detection, and automated analysis models for consumer insights, product screening, and performance evaluation. Insights and Recommendations: Translate analytical outputs into clear, actionable recommendations for scientists, project teams, and functional leaders, escalating complex or ambiguous issues when appropriate. Artificial Intelligence and Automation: Build, configure, and deploy artificial intelligence-enabled and workflow automation solutions, including Copilot agents, Power Automate flows, Power Apps, and low-code or no-code tools. Governance and Stewardship: Maintain intake workflows, evaluation criteria, responsible-use documentation, solution inventories, and adoption materials aligned with organizational standards. Stakeholder Collaboration: Partner with consumer scientists, laboratory teams, Information Technology, and other cross-functional stakeholders to identify digital use cases, define requirements, troubleshoot issues, and deliver practical solutions. Laboratory Method Development: Develop and digitize product screening and performance evaluation methods, including standardized protocols, data capture tools, analysis templates, and reporting outputs. Project Management: Contribute to project planning, requirements definition, testing, documentation, deployment, and adoption while independently managing assigned workstreams, priorities, risks, and stakeholder updates. Continuous Improvement: Identify opportunities to improve tools, workflows, and data practices and bring forward ideas that advance the digital transformation platform. Education and Experience Requirements Required Qualifications Bachelor’s degree in Computer Science, Data Science, Information Systems, Applied Mathematics, Engineering, or a related technical field. 2+ years of experience working with digital tools, analytics, automation, or artificial intelligence technologies. Proficiency in Python, R, or Structured Query Language for data analysis, scripting, and automation. Familiarity with data science libraries such as Pandas, NumPy, and scikit-learn and exposure to machine learning frameworks such as TensorFlow or PyTorch. Working experience with Power BI or Tableau, including creating dashboards, reports, and data models. Familiarity with Microsoft 365, including Excel, SharePoint, Power Platform, and Copilot. Familiarity with cloud platforms such as Microsoft Azure, Amazon Web Services, or Google Cloud Platform. Experience with version control tools such as Git or GitHub. Experience with low-code or no-code platforms, including Power Apps, Power Automate, or Copilot Studio, and artificial intelligence agent development concepts. Basic understanding of data architecture, including data lakes, application programming interfaces, structured and unstructured data, and metadata management. Demonstrated ability to solve routine to moderately complex problems, manage assigned workstreams with limited guidance, and communicate technical concepts clearly to non-technical stakeholders. Strong collaboration, documentation, prioritization, and continuous improvement skills. Commitment to data quality, traceability, responsible use, and compliance with internal standards. Preferred Qualifications Master’s degree in a related technical field. Familiarity with statistical methods used in consumer research, including t-tests, analysis of variance, and regression. Experience with experimental design and analysis, including A/B testing or Design of Experiments. Experience in consumer packaged goods, fast-moving consumer goods, or Research & Development environments. Experience building artificial intelligence agents, using generative artificial intelligence tools, or supporting artificial intelligence-enabled business workflows. Knowledge of data governance, data privacy, and ethical artificial intelligence principles. Exposure to Agile, Scrum, or other iterative project management approaches. Experience supporting internal digital tools or platforms in a cross-functional environment. The U.S. base salary range for this full-time position is $71,000 – $101,000. This position is also eligible for a bonus. As a Church & Dwight U.S. employee, you and eligible dependents, as applicable, will have access to medical, dental, vision, basic life insurance, paid vacation and sick time, and Paid Parental Leave. U.S. employees are entitled to paid holidays, floating holidays, and vacation days starting in their first year of employment depending on hire date. You are also able to participate in our 401(k) retirement plan, with company match and profit-sharing, and Discounted Employee Stock Purchase Plan. The actual base pay offered to the successful candidate will be based on multiple factors, including, but not limited to, job-related knowledge and skills, experience, business needs, geographical location, and internal pay parity. Compensation decisions are dependent upon the facts and circumstances of each position and candidate. #LI-Onsite Church & Dwight is proud to be an Equal Opportunity Employer/Veterans/Individuals with Disabilities. For more information on our company, our brands and our culture visit us at http://www.churchdwight.com/