Senior Data Scientist Job in Microsoft

Senior Data Scientist

Location: Hyderabad, Telangana, India Employment Type: Full-Time

Overview

Are you a passionate Machine Learning enthusiast with a fascination for the world of data? At Microsoft Search, we ve been at the forefront of Machine Learning long before it became a trend. Our team is solving real-world challenges to empower millions globally with AI-powered experiences.

Microsoft Search powers delightful and relevant experiences for enterprise users, and AI-driven Copilots have turned futuristic visions into current-day reality. We are seeking candidates who can help build the next-generation machine learning systems to drive innovation in search ranking, clustering, recommendation systems, and much more.

As a Senior Data Scientist in the team, you will work independently on complex problems, define success metrics, and contribute to design and review processes for machine learning/data pipelines across the team. If you're ready to tackle challenging data science problems and help shape the future of search, we want you on our team!

Key Responsibilities

• End-to-End Ranking: Oversee the ranking of search results and contribute to enhancing search relevance.
• Large Language Models (LLMs): Work on developing and deploying large language models to improve search experience and AI-powered copilots.
• AI-powered Copilot Scenarios: Drive innovations in AI systems that enhance user productivity and engagement through Copilot capabilities.
• Compliance & Privacy: Develop machine learning training pipelines at scale that are privacy and compliance-aware.
• Personalization: Customize search results and recommend relevant content based on user preferences.

Qualifications

Required Qualifications:

• Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or a related field AND 2+ years of data science experience OR
• Master s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or a related field AND 5+ years of data science experience OR
• Bachelor s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years of data science experience.
• Experience working with both structured and unstructured data, applying statistical techniques, and reporting results.
• Hands-on experience with implementing and shipping production-quality machine learning models or data pipelines.
• 2+ years of customer-facing, project-delivery experience, professional services, and/or consulting experience.
• Strong programming skills in Python, R, or similar languages, and familiarity with machine learning libraries.

Preferred Qualifications:

• Prior work or research experience in the Search domain is highly preferred.
• Familiarity with large-scale distributed systems, cloud platforms (such as Azure), and real-time machine learning applications.
• Experience with deep learning and large language models (LLMs).
• Familiarity with compliance and privacy in machine learning pipelines.

Why Join Microsoft?

Microsoft s mission is to empower every person and organization on the planet to achieve more. At Microsoft Search, you will be part of a team solving impactful problems for millions globally. Join us to drive cutting-edge advancements in AI and contribute to shaping the future of search and user experiences.

Employee Benefits

• Industry-leading healthcare coverage
• Generous time off and family leave policies
• Access to educational resources and professional development
• Employee discounts on Microsoft products and services
• Opportunities for networking and global collaborations
• Inclusive and supportive work environment with a focus on work-life balance

Microsoft is an equal opportunity employer. We are committed to creating a diverse and inclusive environment where every individual is treated with respect and can thrive. Join us to make a global impact through innovation, collaboration, and diversity.