Data Scientist II

Hyderabad, Telangana, India

Microsoft

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Microsoft is seeking a highly skilled and experienced Data Scientist II to join our Crowd Intelligence Platform team. This is a platform team that deals with hard automation problems to generate quality signals for a wide range of Bing and Microsoft products. We are in the process of building a generative & generic automation framework that works for all products. Candidate will play a critical role in leveraging LLMs, traditional algorithms / machine learning to “auto understand” products, auto generate tests, auto execute and auto classify bugs for easy partner consumption.

 

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Responsibilities

  • Machine Learning Development: Utilize large language models (LLMs), traditional algorithms, and machine learning techniques to automatically understand products and generate and execute test scenarios for various Microsoft products.
  • Bug Feature Detection: Develop and implement solutions to automatically detect features of logged bugs, enabling efficient deduplication, assignment, and prioritization.
  • Data Management: Handle the collection, cleaning, and labelling of data, ensuring high-quality datasets for training and optimizing machine learning models.
  • Performance Measurement: Apply various performance measurement techniques to evaluate and improve the effectiveness of machine learning models.
  • Collaboration: Work closely with cross-functional teams, including product management, Leadership, and partner dev teams, to ensure the successful implementation of AI-driven solutions.
  • Productionise: Hands on design/implementation of productionizing ML / LLM solutions end to end with proper testing.
  • High Quality Coding: Ensure high quality code is checked in and is peer reviewed for getting continuous feedback. Prompts, ML training, Exploratory Data Analysis (EDA), data cleaning and labelling code are all equally important code components and should be maintained in same high standards.

Qualifications

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
    • 1+ experience in data science, machine learning, or a related field.
  • OR equivalent experience.

Additional or Preferred Qualifications:

  • Expertise in Python, C#, or another programming language for building scalable solutions.
  • Experience Proficiency in machine learning frameworks like PyTorch, TensorFlow, or scikit-learn.
  • Experience with algorithms for classification, clustering, and anomaly detection.
  • Familiarity with techniques for handling noisy or imbalanced datasets.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

 

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

 

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Job stats:  5  1  0
Category: Data Science Jobs

Tags: Classification Clustering Computer Science Data analysis Data management Econometrics Economics EDA LLMs Machine Learning Mathematics ML models Python PyTorch Research Scikit-learn Statistics TensorFlow Testing Unstructured data

Perks/benefits: Career development Medical leave

Region: Asia/Pacific
Country: India

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