Digital Scientist

Churchdwight; Princeton (NJ); On-site; USD 90,000 - 140,000; Full time

Job summary

Church & Dwight is seeking a Digital Scientist at our Princeton, NJ campus to design, build, and scale digital tools that accelerate consumer research, laboratory operations, and AI-enabled innovation.

You will develop data access, improve decision making, and collaborate with cross-functional teams to translate business needs into practical, scalable analytics solutions with measurable impact.

Qualifications

• Bachelor's degree in a related technical field (CS/DS/IS/Applied Math/Engineering).
• 2+ years of experience with digital tools, analytics, automation, or AI.
• Proficiency in Python, R, or SQL for data analysis and scripting.
• Familiarity with data science libraries.

Responsibilities

• Lead moderately complex analytics projects to improve data capture, connection, and visualization for decision-making.
• Design and maintain dashboards and reports using Power BI to monitor research outcomes and processes.
• Develop data pipelines and models for predictive, classification, and trend-detection analyses.
• Collaborate with scientists, IT, and cross-functional stakeholders to deliver practical digital solutions.

Skills

Digital analytics

Automation

Python

R

SQL

Education

Bachelor's degree in a related technical field

Tools

Power BI

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.

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