Senior Data Scientist

Role: Senior Data Scientist

Location: Basking Ridge, NJ

Experience: 10+

Employment Type: Contract on W2 only

Responsibilities:

• Lead the design, development, and deployment of advanced AI/ML models and algorithms to solve complex business problems

• Develop and integrate the AI agents/solutions seamlessly with existing Contract Management Systems (CMS) and document repositories.

• Lead the design and implementation of end-to-end Retrieval-Augmented Generation (RAG) pipelines to ground LLMs with up-to-date and authoritative external data.

• Manage the entire data flow for RAG, including document chunking, metadata management, and generating high-quality vector embeddings using state-of-the-art embedding models.

• Evaluate, select, and manage vector databases (e.g., Pinecone, Weaviate, Qdrant) and indexing techniques (e.g., HNSW) to ensure fast and accurate semantic search and retrieval.

• Continuously iterate on the RAG components, including retrieval algorithms and prompt engineering strategies, to maximize the contextual relevance and quality of generated responses.

• Provide technical leadership and mentorship to junior data scientists, fostering a culture of continuous learning and improvement

• Drive the strategic planning and execution of data science projects, ensuring alignment with business goals and timelines

• Collaborate with cross-functional teams, including engineering, legal, product management and business stakeholders, to define project requirements and deliver data-driven solutions

• Develop and implement scalable data pipelines and workflows to support the end-to-end data science lifecycle

• Evaluate and integrate new data science techniques, tools, and technologies to enhance the company’s data capabilities

• Communicate complex analytical concepts and results to non-technical stakeholders through clear and compelling data visualizations and presentations

• Ensure the robustness, scalability, and performance of deployed models, monitoring their impact and iterating as necessary

• Champion best practices in data science, including data governance, model validation, and ethical AI considerations

• Identify and prioritize opportunities for leveraging data to drive business growth and operational efficiency

• Pioneer peer reviews and foster a culture of continuous improvement and learning
  
  

Basic Qualifications

• Bachelor''s Degree in Computer Science, Electrical Engineering, Computer Engineering, Software Engineering, Aerospace Engineering, Math or Physics or a technical field (such as CIS or IT) relevant to the essential functions of this job description AND a minimum of 5 years of relevant experience OR an equivalent combination of education and relevant experience

• Excellent academics (cumulative GPA greater than or equal to 3.0 as a general rule)

• Extensive experience using systems such as SQL, Python, or R

• Strong expertise in machine learning frameworks (e.g., Scikit-Learn, TensorFlow, PyTorch)

• Proven hands-on experience in fine-tuning Large Language Models (LLMs) and deep understanding of their architectures (e.g., Transformers).

• Strong experience designing and deploying RAG systems and building high-performance semantic search and retrieval pipelines.

• Practical experience with vector embeddings and working with vector databases for production-grade applications.

• Demonstrated expert knowledge in data analysis methods and tools

• Demonstrated strong and effective verbal, written, and interpersonal communication skills

• Must be team-oriented, possess a positive attitude, and work well with others

Interested! Apply Now