Radiant Systems Inc
Data Scientist – Formulation & Product Development - Hybrid Role
Salary
$45 - $50/HOUR
Job type
Contractor
Location
Clark, New Jersey, US
Remote
No
Posted
4 days ago
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Browse resume examplesJob description
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
Responsibilities
- Position: Data Scientist – Formulation & Product Development - Hybrid Role
- 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
- 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
- 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
Benefits
- Pay Rate: $45.00-$50.00/ Hr on W2
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