Data Scientist – Formulation & Product Development - Hybrid Role

We are hiring Data Scientist – Formulation & Product Development - Hybrid Role. Please let me know if you are interested or anyone who might be interested. Client: Major Cosmetics Client Position: Data Scientist – Formulation & Product Development - Hybrid Role Duration: 6+ Months Contract Location: Clark NJ 07066 Pay Rate: $45.00-$50.00/ Hr on W2 \_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_ Description: Work Model: Hybrid – 3 days onsite 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 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 scientific, digital, and cross-functional teams to transform experimental and operational data into actionable insights that accelerate development and optimization. Key Responsibilities • Analyze experimental and process data to identify patterns, correlations, and opportunities for optimization. • Develop predictive and statistical models to support design, selection, and performance evaluation processes. • Design and implement data pipelines and workflows to structure and prepare laboratory and experimental data for analysis. • Create clear and interactive data visualizations and dashboards to communicate insights to scientific and business stakeholders. • Partner closely with scientific, research, and digital teams to translate 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 decision-making. • 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, 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 or laboratory 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 regulated or research-driven industries. • Familiarity with 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. Regards Vishnu Das Natesan dvishnu@radiants.com