Scientific Data Scientist

Important information: To be immediately considered, please send an updated version of your resume to somp767@kellyservices.com.

Title: Data Scientist – Formulation & Product Development

Pay Rate: $50 per hour

Location: Clark, NJ, 07066 (Hybrid - 3 days onsite)

Duration: 6 months with possibility of extension

Type – W2 contract (No C2C)

Must‑Have Skills

• Hands‑on experience with formulation science, experimental design (DOE), or product development in an R&D or laboratory setting
• Ability to analyze and interpret scientific or experimental data
• Strong foundation in statistics and experimental design
• Experience collaborating with scientists or R&D teams
• Proficiency in Python, R, or similar tools for applied data analysis

Job Summary

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

This role is based in Clark, NJ and requires onsite collaboration three days per week to work closely with formulation scientists and cross-functional teams.