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Lead Data Scientist

2 months ago

Raleigh, United States Cognizant Full time

Role: Lead Data Scientist (Hybrid)

Practice - AIA - Artificial Intelligence and Analytics

About AI & Analytics: Artificial intelligence (AI) and the data it collects and analyzes will soon sit at the core of all intelligent, human-centric businesses. By decoding customer needs, preferences, and behaviors, our clients can understand exactly what services, products, and experiences their consumers need. Within AI & Analytics, we work to design the future - a future in which trial-and-error business decisions have been replaced by informed choices and data-supported strategies.

By applying AI and data science, we help leading companies to prototype, refine, validate, and scale their AI and analytics products and delivery models. Cognizant’s AIA practice takes insights that are buried in data and provides businesses a clear way to transform how they source, interpret, and consume their information. Our clients need flexible data structures and a streamlined data architecture that quickly turns data resources into informative, meaningful intelligence.

Job Duties and Responsibilities:

Job Summary

As a data scientist on our team, you will work on new product development in a small team environment writing production code in both run-time and build-time environments. You will help propose and build data-driven solutions for high-value customer problems by discovering, extracting, and modeling knowledge from large-scale natural language datasets including matter and contract repository, invoice/legal spend data and work management. You will prototype new ideas, collaborating with other data scientists as well as product designers, data engineers, front-end developers, and a team of experienced legal data annotators. You will get the experience of working in a start-up atmosphere with the large datasets and many other resources of an established company.

Roles & Responsibilities
  • Develop and implement LLM-based applications tailored for in-house legal
  • Fine-tune and deploy large language models to improve their performance on legal text processing tasks
  • Evaluate and help maintain our data assets and training/evaluation data sets
  • Design and build pipelines for preprocessing, annotating, and handling legal document datasets
  • Collaborate with legal authorities to understand requirements and ensure models meet domain-specific needs
  • Conduct experiments and evaluate model performance to drive continuous improvements
  • Collaborate with other technical personnel or team members to finalize requirements.
  • Work closely with other development team members to understand moderately complex product requirements and translate them into software designs.
  • Efficiently implement development processes, coding standard methodologies, and code reviews for production environments.
Requirements
  • Formal training in machine learning: 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 platform
  • 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 highly preferred
  • Knowledge of API development, containerization, and machine learning deployment highly preferred
  • Experience with ML Ops/AI Ops highly preferred.
Qualifications
  • MS in Data Science, Computer Science, Statistics, Machine Learning, or related field
  • 2+ years of relevant work experience
  • Or undergraduate degree in relevant field and 4+ years of relevant work experience
Salary and Other Compensation:

Applications will be accepted until 12th July 2024.

The annual salary for this position is between $ 150,000 USD – $ 160,000 USD depending on experience and other qualifications of the successful candidate.

This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.

Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:

  • 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

Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.

Cognizant is an Equal Opportunity Employer M/F/D/V. Cognizant is committed to ensuring that all current and prospective associates are afforded equal opportunities and treatment and a work environment free of harassment.

Cognizant is recognized as a Military Friendly Employer and is a coalition member of the Veteran Jobs Mission. Our Cognizant Veterans Network Assists Veterans in building and growing a career at Cognizant that allows them to demonstrate the leadership, loyalty, integrity, and commitment to excellence instilled in them through participation in military service.

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