Hybrid Data Scientist, R&D AI & Decision Support

Church & Dwight Co., Inc.

Princeton (NJ)

Hybrid

USD 71,000 - 101,000

Full time

14 days+

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Job summary

Church & Dwight is seeking a Data Scientist to join our R&D Agentic Pod team, designing, building, deploying, and scaling AI-powered products that transform how R&D teams make decisions and operate.

This hybrid role is based in Princeton, NJ, collaborating with cross-functional partners to develop predictive and prescriptive models, embed analytics into dashboards and workflows, and drive measurable commercial impact through data-driven insights.

Qualifications

  • Bachelor’s degree in a quantitative field.
  • 3+ years of data science or analytics experience.
  • Experience applying statistics and ML to business problems.
  • Hands-on Python models with scikit-learn or XGBoost.
  • SQL experience with large datasets.

Responsibilities

  • Frame business questions and identify analytics opportunities with cross-functional teams.
  • Develop predictive, prescriptive, segmentation, forecasting and optimization solutions.
  • Build, validate, maintain, and monitor ML models in Python (scikit-learn, XGBoost).
  • Define features, validation methods, and performance metrics with bias checks.
  • Design test-and-learn frameworks to quantify incremental impact.
  • Embed models into dashboards, apps, and decision-support tools.

Skills

Data-driven problem solving
Analytical thinking
Collaboration

Education

Bachelor’s degree in Data Science or related field
Master’s degree preferred

Tools

Python
SQL
scikit-learn
XGBoost

Job description

Church & Dwight is seeking a Data Scientist to join our R&D Agentic Pod team, designing, building, deploying, and scaling AI-powered products that transform how R&D teams make decisions and operate.

This hybrid role is based in Princeton, NJ, collaborating with cross-functional partners to develop predictive and prescriptive models, embed analytics into dashboards and workflows, and drive measurable commercial impact through data-driven insights.

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