Senior Applied Scientist Job at Microsoft Corporation (Bangalore)

Senior Applied Scientist

Microsoft Corporation

Location:
India , Bangalore

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

We are the Data & Applied Sciences team for Microsoft Teams, based in Bangalore, India. Our mission is to leverage advanced analytics, data science, and the transformative power of ML/AI to drive decision-making, enhance product performance, and maximize business impact. Our focus is on utilizing data to tackle high-impact business challenges and opportunities within Microsoft Teams, with a special emphasis on developing state-of-the-art Recommendation Engine solutions. We are looking for Scientists who are passionate about leading and pushing forward cutting edge research and technology platforms for human communication understanding. You will work as part of a team that brings together talent in the areas of machine learning, natural language processing, recommenders, information retrieval, software engineering, and trustworthy computing.

Job Responsibility:

Work on many levels - from mining massive datasets for identifying opportunities, through designing and implementing your solutions into our offline and live production systems, defining appropriate metrics to measure their effectiveness, conducting rigorous A/B experiments and impartially evaluating their results
Build models and featurization pipelines, enable feedback loop
Measure and improve the impact of models and work with product teams on appropriate designs of AI-powered experiences
Setting up, running and analyzing experiments
Prototyping new approaches and developing new algorithms, ML techniques such as modelling using deep learning, unsupervised ML approaches and privacy preserving data mining techniques
Improving metrics, feedback systems and reinforcement learning techniques
Working with other scientists, engineers and UX experts on the detailed design and implementation of end-to-end solutions, including data-pipelines for machine learning, deployments, performance monitoring and analysis, and continual refinement via feedback loop from real users
Staying current on technology trends and scientific developments in relevant areas inside and outside of the company, including attending academic and industrial conferences
Partnering with Development teams, Microsoft Research and Product Teams.

Requirements:

Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ 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 3+ years related experience (e.g., statistics, predictive analytics, research)
OR Doctorate 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 equivalent experience
Expertise in Exploratory Data Analysis, Inference Analysis, and Predictive Analysis (Regression, Classification, etc.), with a solid preference for experience in Recommendation Engines
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.

Nice to have:

Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)
OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
OR equivalent experience
3+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers)
Experience presenting at conferences or other events in the outside research/industry community as an invited speaker
3+ years experience conducting research as part of a research program (in academic or industry settings)
1+ year(s) experience developing and deploying live production systems, as part of a product team
1+ year(s) experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping
Publications in major HCI/ML/IR/NLP conferences would be a plus. Example: CHI, NeurIPS, ICML, KDD, WWW, SIGIR, WSDM, ACL, EMNLP
Awareness and understanding of emerging research and technologies related to Recommendation Systems
Experience in large scale data mining and cloud computingAnalytical, problem solving, programming and debugging skills
Effective verbal, visual and written communication skills.

Additional Information:

Job Posted:
March 19, 2026

Employment Type:

Fulltime

Work Type:

Hybrid work

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