Overview:

We are the Data & Applied Sciences team for Microsoft Teams, 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 a Senior Applied Scientist who is passionate about leading and pushing forward cutting-edge research and technology platforms for human communication understanding.

Experience: 10-20 Years

Location: Bangalore

Responsibility:

• 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.

Qualification:

• 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).
• 10+ years of experience in Data Science / Machine Learning, with a strong background in Recommendation Systems.
• Expertise in Exploratory Data Analysis, Inference Analysis, and Predictive Analysis (Regression, Classification, etc.), with a strong preference for experience in Recommendation Engines.

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