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Data Scientist – Formulation & Product Development (Hybrid)

Posted today

radiant systemsClark (NJ)

SENIORITY

Senior

SALARY

$55–$57/hr

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About the role

We're Hiring: Data Scientist – Formulation & Product Development (Hybrid
Location: Clark, NJ 07066
Duration: 6-Month Contract
Pay Rate: $55–$57/hr on W2Client: Major Cosmetics & Beauty Industry ClientWe are seeking an experienced Data Scientist to join a leading global cosmetics organization and drive innovation across formulation and product development through Predictive Machine Learning and Generative AI.This is an exciting opportunity to work on real-world AI initiatives, transforming complex scientific and business data into actionable insights and intelligent solutions.
Key Responsibilities: Develop and deploy predictive machine learning models, including regression, classification, clustering, and forecasting. Build GenAI solutions using RAG architectures, AI agents, prompt engineering, and model fine-tuning. Work with structured and unstructured datasets to identify trends and generate actionable insights. Evaluate and monitor model performance, accuracy, data drift, hallucinations, and bias. Translate business requirements into scalable data science and AI solutions. Collaborate with Data Engineers and cross-functional scientific teams. Present findings through dashboards, data visualization, and clear business storytelling.
Required Skills: Master's degree in Data Science, Statistics, Computer Science, Engineering, or a related field.3+ years of hands-on Data Science experience. Strong Python programming and statistical modeling skills. Practical experience with Predictive Machine Learning and Generative AI.Experience with RAG, prompt engineering, vector databases, and GenAI frameworks. Advanced SQL and experience with Power BI, Tableau, or similar visualization tools. Experience with Git and model validation techniques. Strong communication, problem-solving, and independent working skills.
Preferred Qualifications: Experience in cosmetics, pharmaceuticals, formulation, ingredients, or scientific R&D.Exposure to MLOps, GenAIOps, AI agents, and model fine-tuning. Experience with Azure, AWS, GCP, Spark, or Databricks. French language skills are a plus.

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