Location: Berkeley Heights, NJ
Salary: $38.00 USD Hourly - $48.00 USD Hourly
Description:
We are seeking a highly motivated Data Scientist to support data-driven innovation in formulation and product development. This role will focus on analyzing complex formulation datasets, developing predictive models, and creating intuitive visualizations that enable scientists and cross-functional teams to make informed decisions. The ideal candidate will work closely with formulation scientists, digital teams, and other stakeholders to transform experimental and operational data into actionable insights that accelerate product development and optimization.
Key Responsibilities
Analyze formulation, experimental, and process data to identify patterns, correlations, and opportunities for optimization.
Develop predictive and statistical models to support formulation design, ingredient selection, and performance evaluation.
Design and implement data pipelines and workflows to structure and prepare laboratory and formulation data for analysis.
Create clear and interactive data visualizations and dashboards to communicate insights to scientific and business stakeholders.
Partner closely with formulation scientists, R&I teams, and digital stakeholders to translate scientific challenges into data science solutions.
Support experimentation strategies by applying data-driven approaches such as design of experiments (DoE), machine learning, and statistical analysis.
Contribute to the development of digital tools and analytics capabilities that enable smarter and faster formulation decisions.
Document methodologies, models, and analytical workflows to ensure reproducibility and knowledge sharing across teams.
Qualifications
Master's or PhD in Data Science, Statistics, Computer Science, Chemical Engineering, Chemistry, or a related quantitative field.
3+ years of experience in data science, advanced analytics, or machine learning roles.
Strong programming skills in Python or R, with experience using data science libraries (e.g., Pandas, Scikit-learn, TensorFlow, PyTorch).
Experience with data visualization tools such as Power BI, Tableau, or similar platforms.
Solid understanding of statistical modeling, machine learning, and experimental data analysis.
Experience working with scientific, laboratory, or formulation datasets is highly desirable.
Strong communication skills with the ability to translate complex analytical findings into clear insights for non-technical stakeholders.
Demonstrated ability to work effectively in cross-functional teams.
Preferred Qualifications
Experience in cosmetics, consumer goods, chemicals, pharmaceuticals, or materials science industries.
Familiarity with formulation science, experimental design, or product development processes.
Experience working with laboratory information systems (LIMS), digital lab platforms, or R&D data environments.
Knowledge of AI-assisted analytics and advanced modeling techniques applied to scientific datasets.
Work Environment
By providing your phone number, you consent to: (1) receive automated text messages and calls from the Judge Group, Inc. and its affiliates (collectively "Judge") to such phone number regarding job opportunities, your job application, and for other related purposes. Message & data rates apply and message frequency may vary. Consistent with Judge's Privacy Policy, information obtained from your consent will not be shared with third parties for marketing/promotional purposes. Reply STOP to opt out of receiving telephone calls and text messages from Judge and HELP for help.
Contact:
This job and many more are available through The Judge Group. Please apply with us today!
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: cxjudgpa
- Position Id: 1124439
- Posted 5 hours ago
Never miss an opportunity! Create an alert based on the job you applied for.