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Microsoft Data & Applied Scientist II 
India, Telangana, Hyderabad 
634431320

17.12.2024

Required Qualifications:

  • Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field
    • OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical tec
    • OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 2+ years data-science experience (e.g., managing structured and unstructured data, applying statistical tec
    • OR equivalent experience.
  • 1+ year(s) customer-facing, project-delivery experience, professional services, and/or consulting experience.

Preferred Qualifications:

  • 3+ years of experience in the areas of data science, machine learning, information retrieval or natural language processing.
  • Proficiency and demonstrable skills using statistical or machine learning programming languages and packages (Python/R etc.).
  • Demonstrable skills and experience using SQL or NoSQL data stores.
  • Excellent verbal and written communication skills.
Responsibilities
Our ideal candidate will:
  • Have an ability to mine large data sets with Cosmos, Hadoop or Spark like technologies.
  • Hands on experience working on different aspects of Generative AI including prompting and finetuning.
  • Transform data into innovative features/signals that can improve a machine-learning task.
  • Build and productionize ML/DL models and evaluate their quality on real life scenarios.
  • Prototype new approaches and develop new algorithms using NLP, ML and DL techniques.
  • Have an ability and willingness to develop code (in C#, Python & SQL) to productionize ML techniques.
  • Have an ability to self-learn new techniques from textbooks and research papers.
  • Never compromise on engineering excellence and delivering quality at scale.