Microsoft Teams is revolutionizing how people communicate and collaborate across the globe. A key part of this role will be supporting the development of exciting new AI tools for meetings. You will be working with a best-in-class product team to build the future of AI in meetings. You will be helping ideate, launch and measure these advances in meeting AI capabilities.
Requirements
- 5+ years of experience in data science modeling, statistics, analytics, business intelligence, or data-driven business strategy.
- 5+ years of strong hands-on skills in SQL, and R or Python to implement statistical models, machine learning, and analysis (prediction, classification, clustering, time series forecasting, regression models, etc.).
- Proficiency using one or more programming or scripting language like Python, R, SQL work with data.
- Experience with experiments, machine learning, deep learning, anomaly detection, predictive analysis, exploratory data analysis, and other areas of data science
Responsibilities
- Develop ML/Statistical models to measure/predict the quality of online content and/or user interactions with large scale AI systems.
- Think critically about sampling and experimental design. Developing innovative strategies and products in these areas.
- Interpret the results of analyses, validate approaches, and learn to monitor, analyze, and iterate to continuously improve.
- Define, invent, and deliver metrics which accurately measure the quality of online information, and the satisfaction/success of our customers.
- Translate strategy into plans that are clear and measurable, with progress shared out monthly to stakeholders.
- Engage with stakeholders to produce clear, compelling, and actionable insights and data-science driven workflows that influence product and service improvements.
Other
- Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
- 5+ years partner-facing, project-delivery experience, professional services, and/or consulting experience.
- Strong partnership, collaboration, and interpersonal skills
- Experience driving data science practices & methodology improvements across disciplines including Finance, Marketing and Engineering
