Company Name:-
Microsoft

Job Location:-
Hyderabad, Telangana

Job Summary:-
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 in the planet? Office Experience Organization (OXO) has embarked on a mission to delight our customers by using data informed engineering to develop compelling products and services.

The FUEL team in OXO is looking for an experienced professional with a passion for delivering business value with data insights and analytics to join our team as a Program Manager.

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 OXO, 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 solution.

Responsibilities
You will be delivering results through innovation and persistence when similar candidates have given up.

Responsibilities
Identifies data sources, integrates multiple sources or types of data, and develops expertise with multiple data sources to tell a story and to compensate for missing data, identify new patterns and business opportunities, and communicate visually and verbally with clear and compelling data-driven stories.

Applies (or develops if necessary) tools and pipelines to efficiently collect, clean, and prepare mas

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