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Microsoft Corporation Logo Microsoft Corporation · IT - Software Development

Data Scientist 2

India, Hyderabad · Job Posted March 04, 2026
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Job Description

The Industry Solutions Delivery (ISD) Engineering & Architecture Group (EAG) is a global engineering consulting organisation that supports our most complex and leading-edge customer engagements in improving their business performance with the power of Data & AI. EAG develops approaches, innovative solutions, and engineering standards to set our delivery teams and customers up for long-lasting success. We are committed to Responsible AI, and we help our customers build and operate ethical, transparent and trustworthy AI solutions. We are hiring a Data Scientist with deep experience in advanced statistical data analysis, machine learning and artificial intelligence.

Job Responsibility

  • Leverage data science and business domain knowledge to improve business performance, evaluate project plans, communicate business goals, and share insights with stakeholders
  • Acquire, prepare, and explore data through querying, visualisation, reporting techniques, and collaboration with other teams, ensuring data integrity
  • Apply machine learning and statistical analysis to develop models, train, optimise, and evaluate them, and communicate findings to stakeholders
  • Test, review, and improve models by analysing performance, incorporating feedback, and contributing to the review process
  • Write and debug efficient and scalable code while collaborating with engineering teams and integrate data models into customer systems
  • Understands big-data software engineering concepts, such as Hadoop Ecosystem, Apache Spark, CI/CD, Docker, Delta Lake, MLflow, AML, and REST API consumption/development
  • Demonstrates a strong commitment to Responsible AI, supporting customers, partners and internal stakeholders in building trustworthy AI solutions.

Requirements

  • Bachelor's degree in Data Science, Computer Science, Engineering, Statistics, Operations Research, or a related field
  • 4 years of data science experience in business context
  • Ability to work independently, solve complex data science problems, design and code maintainable and scalable solutions, and effectively apply data science to business challenges
  • Hands-on software engineering experience (e.g. Python, Scikit, PyTorch, C++) with main established data science frameworks
  • Familiarity with building and deploying largescale AI solutions into production within a cloud environment
  • Experience dealing with internal and external stakeholders on large, complex projects.

Nice to have

  • Familiarity with building and deploying largescale AI solutions into production within a cloud environment
  • Experience dealing with internal and external stakeholders on large, complex projects.
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