HIRING DATA SCIENTIST LOCALS TO North Carolina ONLY

Senior Data Scientist | Locals to NC only

• Location: Onsite – Raleigh, North Carolina
• Client: Cognizant (Project with LexisNexis)
• Duration: Long-term contract
• Position ID: 47415-1 / 47414-1
• Please share your resume to raghavan@amxsol.com ASAP.

Required Qualifications

• Strong hands-on experience and foundation in machine learning, including dimensionality reduction, clustering, embeddings, and sequence classification.
• Experience with deep learning frameworks such as PyTorch, TensorFlow, and Hugging Face Transformers.
• Practical experience with NLP libraries and techniques (e.g., spaCy, word2vec, BERT, Keras, Flair).
• Practical experience with LLMs, prompt engineering, fine-tuning, and benchmarking (e.g., LangChain, LlamaIndex).
• Strong proficiency in Python.
• Knowledge of cloud platforms such as AWS, GCP, or Azure.
• Understanding of data modeling and complex data architectures.
• Proficiency in relational and NoSQL databases, and vector stores like Postgres, Elasticsearch/OpenSearch, ChromaDB.

Job Summary

As a Senior Data Scientist at Cognizant, you will drive new product development within a collaborative team, writing production code in both run-time and build-time environments. You'll propose and build data-driven solutions for high-value customer problems, working with large-scale natural language datasets (matter/contract repositories, legal spend data). This role involves prototyping new ideas and collaborating with various technical and legal experts, combining a startup's dynamic culture with an established company's resources. An ideal candidate is passionate about moving beyond Jupyter Notebooks and consistently delivering production-ready code.

Key Responsibilities

• Develop and implement LLM-based applications tailored for in-house legal needs.
• Evaluate and maintain data assets and training/evaluation datasets for integrity and quality.
• Design and build pipelines for preprocessing, annotating, and managing legal document datasets.
• Collaborate with legal experts to understand requirements and ensure models meet domain-specific needs.
• Conduct experiments and evaluate model performance for continuous improvements.
• Evaluate AI/ML and GenAI outcomes (human and automated) for accuracy and business alignment.
• Interface with technical personnel to finalize requirements and deliver outcomes.
• Translate complex product requirements into software designs with development teams.
• Implement development processes, coding best practices, and conduct code reviews for production environments.

Preferred Qualifications

• Experience with Scala, Spark, Ray, or other distributed computing frameworks.
• Knowledge of API development, containerization, and machine learning deployment.
• Familiarity with ML Ops/AI Ops best practices.