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Cognizant Hiring! Full Time Sr. Data Scientist in - Ricebowl

Sr. Data Scientist

Cognizant

Undisclosed

Full Time

Singapore

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Working Location

  • Singapore

Job Description

Responsibilities

Job Responsibilities:
  • Collaborating with business users to understand their key priorities and use cases; proposing and developing solutions using data science and/or Generative AI techniques to drive business value
  • Researching emerging AI/data science techniques and identifying relevant ones to explore and adopt (e.g. Agentic, LLM, Predictive, Fraud/Anomaly Detection, Text Analytics, Customer Segmentation)
  • Data wrangling & analysis - preprocessing, cleaning and feature engineering
  • Supporting the daily operations and maintenance of deployed data science models and products
  • Developing backend APIs and services to support AI model deployment and integration
  • Building frontend interfaces and user experiences for AI-powered applications
  • Documenting changes to existing products
  • Reviewing and implementing fixes for reported security vulnerabilities;
Job Requirements:
  • Able to understand and apply a range of AI/ML techniques for regression and classification
  • Familiar with popular python packages ( e.g. pandas, matplotlib, scikit-learn, XGBoost, NLTK, spaCy )
  • Understanding of LLM concepts (e.g. context windows, embeddings, chunking, token management) and architectures (e.g. RAG)
  • Experience with context engineering techniques and prompt optimization strategies
  • Proficient in git, SQL
  • Proficient in Business Intelligence tools (e.g. Tableau, Qlik, MS PowerBI, Microstrategy)
Bonus Skillsets
  • Proficient in modern programming languages (e.g. typescript, C#)
  • Experience in cloud platform and services preferably in AWS
  • Experience in Docker/Kubernetes
  • Experience with web frameworks and full-stack development, including backend frameworks (e.g. FastAPI, Flask, Express.js) and RESTful API development, and frontend technologies (e.g. React, Vue.js, HTML/CSS, TypeScript)
  • Experience with LLM frameworks (e.g. LangChain, LlamaIndex, Hugging Face Transformers)
  • Knowledge of vector databases and embedding techniques (e.g. Pinecone, Chroma, FAISS)
  • Understanding of AI agent frameworks and multi-agent systems
  • Strong presentation skills and ability to explain technical concepts clearly to a non-technical audience
  • Proficient in statistical software tools (e.g. R, SAS)

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