Digital Scientist: AI Analytics & Data Visualization Lead

Church & Dwight Co., Inc.; Princeton (NJ); Hybrid; USD 71,000 - 101,000; Full time

Job summary

Church & Dwight Co., Inc. in Princeton, NJ is hiring a Digital Scientist to design, implement, and scale digital tools accelerating consumer research, lab operations, and AI-enabled innovation. The role focuses on data access, governance, and actionable insights across R&D.

The position requires strong CS/DS background, with Python/R/SQL, Power BI, and cloud familiarity, collaborating with IT and lab teams. Onsite work with minimal travel is expected.

Qualifications

• Bachelor’s degree in a technical field and 2+ years of digital tools, analytics, automation, or AI experience.
• Proficiency in Python, R, or SQL for data analysis and automation.
• Experience with data science libraries and ML frameworks; dashboarding in Power BI or Tableau.
• Experience with Microsoft 365, cloud platforms, and Git-based workflows.
• Ability to translate business needs into scalable digital solutions and communicate with non-technical stakeholders.

Responsibilities

• Lead moderately complex projects to improve data capture, connection, visualization, and decision-making across R&D.
• Design and maintain dashboards and data models to monitor outcomes and workflows.
• Develop data pipelines and AI-ready structures across LIMS, SharePoint, and related platforms.

Skills

Python

R

SQL

Pandas

NumPy

scikit-learn

Power BI

Tableau

Copilot

Power Apps

Power Automate

Git/GitHub

Azure

AWS

GCP

Education

Bachelor’s degree in Computer Science, Data Science, Information Systems, Applied Mathematics, Engineering, or related technical field

Master’s degree (preferred)

Tools

Power BI

SharePoint

Copilot Studio

Job description

Church & Dwight Co., Inc. in Princeton, NJ is hiring a Digital Scientist to design, implement, and scale digital tools accelerating consumer research, lab operations, and AI-enabled innovation. The role focuses on data access, governance, and actionable insights across R&D.

The position requires strong CS/DS background, with Python/R/SQL, Power BI, and cloud familiarity, collaborating with IT and lab teams. Onsite work with minimal travel is expected.