Data Scientist

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. Seeking a Data Scientist with 3+ years of experience developing predictive machine learning models and Generative AI solutions for real-world applications.

The Fountain Group is currently seeking a Data Scientist  for a prominent client of ours. This position is located at Clark, NJ. Details for the position are as follows:

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

Job Description:
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.

Responsibilities:
- 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.

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

Required Skills
- 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.

Preferred Skills
- 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.


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