Microsoft Data Sciences Job Openings – Apply Now!

Qualifications

Required Qualifications:

• Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research)
  • OR Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
  • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field
  • OR equivalent experience.
• Experience with large-scale models and frameworks such as PyTorch.
• Experience building, deploying, and optimizing large-scale AI/ML models in real-world applications, especially in NLP, Information Retrieval, or Computer Vision.

Other Requirements:

Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:

• Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred Qualifications:

• Experience working with large language models / multi-billion parameter models, focusing on their efficient training and online inference.
• Background in developing or modifying deep learning algorithms/architectures to improve computational and memory efficiency.
• Experience in online advertising, search engines, or recommendation systems.

Roles & Responsibilities: 

Microsoft is looking for Data and Applied Scientist II with expertise in areas like Machine Learning, Large Language Models, Reinforcement Learning, Causal Inference to join our team at Microsoft Ads India.

This role offers a unique opportunity to work on some of the most complex and high-impact challenges in online advertising, where your innovations will directly shape user experience, advertiser success, and the future of the digital advertising ecosystem.

• Drive AI innovation: Lead the development of cutting-edge models that select and rank ads, predict user interaction, and optimize advertiser outcomes. You will leverage and advance Deep Learning, Reinforcement Learning, Causal Inference, and other techniques to solve complex problems.
• Optimize at scale: Design, build, and deploy models that operate at web scale, ensuring they are robust, scalable, and high performing in real-world settings. You will directly improve user engagement, ad relevance, and advertiser return on.
• Perform large-scale online and offline experiments to continuously optimize and validate model performance, ensuring real-time impact on user and advertiser experiences.
• Work closely with worldwide research, engineers, data scientists, and product teams to integrate your solutions into Microsoft Ads systems, driving cross-team collaboration and delivering impactful end-to-end solutions.