Data Scientist, R&D
Quick Summary
Probability distributions, hyp
A collective energy and ambition. A place where you can make a real difference.
About the Role
~1 min readResponsibilities
~1 min read- → Statistics and Machine Learning: Probability distributions, hypothesis testing, statistical inference, linear algebra, experimental design, causal measurement, supervised and unsupervised learning, forecasting, and optimization.
- →Programming and Modeling: Python, SQL, scikit-learn, XGBoost, feature engineering, model validation, explainability, and data preparation and transformation.
- →Analytics and Decision Support: Data visualization, storytelling, data-driven decision-making, and translation of technical findings into practical recommendations and measurable outcomes.
- →R&D Applications: Consumer insights, scientific knowledge discovery, formulation optimization, product performance modeling, complaint signal detection, regulatory intelligence, and manufacturing quality and process optimization.
- →Analytical Product Delivery and Governance: Analytical product thinking, documentation, model monitoring, data quality and governance fundamentals, responsible AI, and reliable decision-support solutions.
Requirements
~1 min read- Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, Econometrics, Analytics, Operations Research, or a related quantitative discipline required.
- 3+ years of experience in data science, advanced analytics, machine learning, decision science, or a related field required.
- Demonstrated experience applying statistics, linear algebra, and machine learning to business problems.
- Hands-on experience building and evaluating Python models using scikit-learn, XGBoost, or comparable frameworks.
- Experience with SQL, large structured datasets, data preparation, feature engineering, model validation, and translating analysis into recommendations for non-technical stakeholders.
- Master’s degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, Econometrics, Analytics, Operations Research, or a related quantitative discipline preferred
- Experience with R&D, Quality, or Regulatory datasets and Consumer Packaged Goods (CPG).
What We Offer
~1 min readThe U.S. base salary range for this full-time position is $71,000– $101,100. This position is also eligible for a bonus.
As a Church & Dwight US 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 401k 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/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-Hybrid
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/
Location & Eligibility
About this job
- Pay per year
- $71,000–$101,100 a year
- 55% below the $190,000 median for Data Scientist jobs on Jobera (780 salaries).
- Who can apply
- United States
- Posted
- Today
Listing Details
- Posted
- October 22, 2026
- First seen
- October 22, 2026
- Last seen
- October 22, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 68%
- Scored at
- October 22, 2026
Signal breakdown
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