Data Scientist 2

1 month ago

hyderabad, India Microsoft Full time

Overview

Do you want to be on the leading edge of using big data and help drive engineering and product decisions for the biggest productivity software on the planet? Office Product Group (OPG) has embarked on a mission to delight our customers by using data-informed engineering to develop compelling products and services. The Office team is looking for an experienced professional with a passion for delivering business value with data insights and analytics to join our team as a Data Scientist.

We're the ones obsessing over enterprise customers, making sure their experiences with our products are top notch. Our core mission is keeping customers “healthy” – this involves not only driving performance and coordinating tenant-centric health efforts across OPG, but also ensuring our customers are on the latest, fastest, most productive, and best versions of the incredible apps that make up Office. To fulfill this mission, we are looking for an individual who joins us to drive and deliver core Performance improvements constantly, across the suite, leading to delightful experiences for all users.

We are looking for a strong Data Scientist with a proven track record of solving large, complex data analysis and machine learning problems in a real-world software product development setting. Ideal candidates should be able to take a business or engineering problem from a PM or Engineering leader and translate it to a data science problem. This includes all the steps to identify and deeply understand potential data sources, conduct the appropriate analysis or modeling to reveal actionable insights, and then work with data or AI engineers to operationalize the metrics or solutions.

Qualifications

4+ years of programing experience in Python (with ML packages like Pandas, Scikit Learn) & R Stat/ML packages. 3+ years of experience developing applications in the cloud using technologies such as SQL, Kusto, Databricks, Azure ML, Spark etc. Candidates must be able to communicate complex ideas and concepts to leadership and deliver results. Candidates must be comfortable in manipulating and analyzing complex, high dimensional data from varying sources to solve challenging problems. Bachelor's or higher degrees in Computer Science, Statistics, Mathematics, Physics, Engineering, or related disciplines

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