Radiant Systems Inc

Radiant Systems Inc

Data Scientist – Formulation & Product Development - Hybrid Role

Clark, New Jersey, USContractor$45 - $50/HOUR4 days agovia LinkedIn

Salary

$45 - $50/HOUR

Job type

Contractor

Location

Clark, New Jersey, US

Remote

No

Posted

4 days ago

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Job 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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