{"@context":"https://schema.org/","@type":"JobPosting","title":"Data Scientist

As a Senior Data Scientist, you will work on some of the world's largest and most advanced services, leveraging data to improve user experiences, enhance service quality, and drive measurable impact at global scale.

• Apply data analysis, AI, and modelling techniques to understand user behaviour, identify opportunities, and inform product improvements.
• Write robust, reusable, and extensible code to support analysis, modelling, and operationalization at scale.
• Use AI-powered tools in your daily work to accelerate analysis, experimentation, and solution development.
• Develop and maintain metrics and evaluation frameworks to assess the quality, performance, and impact of services.
• Drive data-driven decision making by presenting clear, actionable insights to senior leaders and stakeholders.
• Collaborate in a cross-functional environment with local and remote partners to deliver scalable, elegant, and impactful solutions.
• Acquire, prepare, and validate datasets for analysis and modelling, while contributing to best practices in data collection and data quality.
• Evaluate and improve existing products to ensure intelligent services evolve to meet user needs.
• Design, evaluate, and optimise prompts and fine-tuning strategies for large language models.

• Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years of data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results).

• OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience.

• OR equivalent experience. Additional or Preferred Qualifications

• Software engineering experience covering software engineering best practices (code quality, repo hygiene, code reviews, unit testing, design documentation, continuous integration, deployment).

• Track record of defining, delivering, and optimising explorative data science and machine learning projects that address real-world problems.

• Knowledge of distributed big-data computing systems (e.g. Spark, Hadoop, Hive, Azure ML).

• Experience in experimentation frameworks and understanding how to measure end-user impacting metrics.

Microsoft is a global technology company headquartered in Redmond, Washington. Our mission is to empower every person and every organization on the planet to achieve more. We develop, license, and support a wide range of software products, services, and devices that help individuals and businesses realize their full potential.

Our flagship products include the Microsoft 365 productivity cloud, Windows operating system, Azure cloud platform, and Dynamics 365 business applications. We are also a leader in areas such as artificial intelligence, cybersecurity, developer tools, and gaming through Xbox and Game Pass.

With operations in more than 190 countries and over 220,000 employees worldwide, Microsoft is committed to responsible innovation, inclusive economic growth, and sustainability. We work closely with governments, industries, and communities to ensure that technology serves the public good and helps address some of the world’s most pressing challenges.

As we celebrate our 50th anniversary in 2025, we continue to look forward—investing in AI, cloud, and quantum computing to shape the future of work, education, and society at large scale.