Senior Data Scientist

Cognizant Technology Solutions-posted 4 months ago

$140,000 - $150,000/Yr

Senior

Raleigh, NC

Professional, Scientific, and Technical Services

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As a Senior Data Scientist at Cognizant, you will play a crucial role in engineering modern businesses to improve everyday life. You will be instrumental in driving new product development within a collaborative team environment, writing production code in both run-time and build-time environments. Your role will involve proposing and building data-driven solutions to address high-value customer problems. You will work with large-scale natural language datasets, including matter and contract repositories, invoice/legal spend data, and work management. Your contributions will be pivotal in prototyping new ideas and collaborating with other data scientists, product designers, data engineers, front-end developers, and expert legal data annotators. You will experience the dynamic culture of a start-up while leveraging the extensive resources of an established company. An ideal candidate will possess a strong passion for advancing beyond Jupyter Notebooks and consistently delivering production-ready code each sprint.

Develop and implement LLM-based applications tailored for in-house legal needs, ensuring they align with Cognizant's commitment to excellence and innovation
Evaluate and maintain our data assets and training/evaluation datasets, ensuring they meet the highest standards of integrity and quality.
Design and build pipelines for preprocessing, annotating, and managing legal document datasets, fostering a customer-centric mindset.
Collaborate with legal experts to understand requirements and ensure models meet domain-specific needs, working as one team.
Conduct experiments and evaluate model performance to drive continuous improvements, raising the bar in all deliverables.
Evaluate AI/ML and GenAI outcomes, both human and automated, to ensure accuracy, reliability, and alignment with business objectives.
Interface with other technical personnel or team members to finalize requirements, demonstrating ownership of outcomes.
Work closely with other development team members to understand complex product requirements and translate them into software designs, ensuring ethical choices in all actions.
Successfully implement development processes, coding best practices, and code reviews for production environments, embodying Cognizant's values in every task.

Strong hands-on experience and foundations in machine learning, including dimensionality reduction, clustering, embeddings, and sequence classification algorithms.
Experience with deep learning frameworks such as PyTorch, TensorFlow, and Hugging Face Transformers.
Practical experience in Natural Language Processing methods and libraries such as spaCy, word2vec, TensorFlow, Keras, PyTorch, Flair, BERT.
Practical experience with large language models, prompt engineering, fine-tuning, and benchmarking using frameworks such as LangChain and LlamaIndex.
Strong Python background.
Knowledge of AWS, GCP, Azure, or other cloud platforms.
Understanding of data modeling principles and complex data models.
Proficiency with relational and NoSQL databases as well as vector stores (e.g., Postgres, Elasticsearch/OpenSearch, ChromaDB).
Knowledge of Scala, Spark, Ray, or other distributed computing systems is highly preferred.
Knowledge of API development, containerization, and machine learning deployment is highly preferred.
Experience with ML Ops/AI Ops is highly preferred.

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

Medical/Dental/Vision/Life Insurance
Paid holidays plus Paid Time Off
401(k) plan and contributions
Long-term/Short-term Disability
Paid Parental Leave
Employee Stock Purchase Plan

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