Data Scientist

The Fountain Group is currently seeking a Data Scientist for a prominent client of ours. This position is located at Clark, NJ.

Hybrid position - 3 days onsite / 2 days work from home

Pay: $50-54.43/hour W2 only

Duration: 6 months with possibility of extension

Job Title:

Data Scientist - Formulation & Product Development

Seeking a Data Scientist with 3+ years of experience developing predictive machine learning models and Generative AI solutions for real-world applications. The role focuses on leveraging data science, predictive analytics, and GenAI to support formulation, product development, and data-driven business decisions within the cosmetics and scientific domain.

• Design, develop, validate, and deploy predictive ML models, including regression, classification, clustering, and time-series forecasting.
• Develop GenAI solutions using Retrieval-Augmented Generation (RAG), prompt engineering, vector databases, and AI frameworks.
• Select appropriate ML or GenAI approaches based on model performance, cost, and business value.
• Evaluate and monitor production models for performance, data drift, hallucinations, bias, and cost.
• Perform data exploration, cleaning, and analysis across structured and unstructured datasets.
• Build data visualizations and dashboards to communicate analytical results and support product development decisions.
• Identify and implement new data science and AI use cases.

• Master's degree in Data Science, Statistics, Computer Science, Engineering, or a related STEM field required.

• 3+ years of hands-on Data Science experience.
• Demonstrated project experience in both Predictive Machine Learning and Generative AI.
• Strong Python programming and statistical analysis.
• Feature engineering, model validation, and ML experimentation.
• Regression, classification, clustering, and time-series forecasting.
• Prompt engineering and Retrieval-Augmented Generation (RAG) architectures.
• Vector databases and GenAI frameworks.
• Evaluation of GenAI-generated outputs.
• Advanced SQL.
• Data visualization using Power BI, Tableau, or equivalent tools.
• Git version control.
• Fluent English.

• Industry
  
  Experience:
  
  Cosmetics, pharmaceuticals, or other scientific domains, particularly R&D, formulation, ingredients, clinical studies, consumer studies, or regulated environments.
• GenAI fine-tuning and model adaptation.
• Agentic AI workflows and AI agents.
• MLOps / GenAIOps and production model monitoring.
• Cloud platforms:
  Azure, AWS, or GCP.
• Apache Spark and Databricks.
• French language proficiency.