Data Scientist

Title: Data Scientist – Formulation & Product Development

Location: Clark, NJ ((Hybrid – Onsite 3 days per week)

Duration: 6 months possibility of extensionW2 Contract (No C2C)

Pay rate: $57 per hourKey Traits / ProfileMore autonomous and proactiveUnderstands the problem, not just the data User-facing and comfortable working with business stakeholders Suggests solutions and drives outcomes Not passive; takes initiative and ownership Data Scientist with 3+ years of experience

Job Summary: We are seeking a highly motivated Data Scientist to transform complex data into actionable insights by developing both predictive machine learning models and GenAI-based solutions that support business decision-making. The ideal candidate will take ownership of projects from problem definition through deployment, working autonomously, proactively, and with a solution-oriented mindset.

📋 Responsibilities: Design, develop, and deploy predictive machine learning models, including regression, classification, clustering, time series, and forecasting solutions on structured data. Design and deploy GenAI-based solutions, including retrieval-augmented generation (RAG), AI agents, prompt engineering, model adaptation, and fine-tuning. Select the most appropriate approach for each business problem, whether predictive ML or GenAI, based on performance, cost, and business value. Evaluate and monitor models in production, including performance, drift, hallucinations, bias, and cost. Explore, clean, and analyze large structured and unstructured datasets in collaboration with Data Engineers. Translate business requirements into measurable solutions and present findings through dashboards and effective storytelling. Proactively identify opportunities and recommend new data and AI use cases.

🛠 Requirements: Master's degree in Data Science, Statistics, Computer Science, Engineering, or a related field.3+ years of hands-on Data Science experience, including both predictive machine learning and GenAI implementations in production environments. Predictive ML: Strong Python skills, solid statistical knowledge, feature engineering, model validation, and experimentation experience. GenAI: Experience with prompt engineering, retrieval-augmented architectures, vector databases, GenAI frameworks, and evaluation of generated outputs. Advanced SQL skills, data visualization tools (Power BI, Tableau, or equivalent), and Git. Fluent English communication skills; French is a plus.