Senior Data Scientist

How would you like to directly affect the lives of billions of humans? Would you like to be responsible for code running across tens of thousands of machines across datacenters around the world? What if you could multiply your impact by making developers around the world better? If you like building highly motivated and productive teams, we have got interesting opportunities for you.

Who we are 

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? M365 Security Engineering Core team has embarked on a mission to delight our customers by using data-informed engineering to develop compelling products and services. 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” & “satisfied” – this involves not only driving performance and coordinating tenant-centric health efforts, 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.

The M365 Core org in Bangalore plays a pivotal role in powering end user experiences around and platform capabilities for the M365 eco system.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Required Qualifications:

• Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field  AND 6+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
• 4+ years of experience developing applications in the cloud using technologies such as SQL, Kusto, Databricks, Azure ML, Spark etc.

Other Requirements:

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.

Preferred Qualifications:

• Ability to communicate complex ideas and concepts to leadership and deliver results.
• Experience in manipulating and analyzing complex, high dimensional data from varying sources to solve challenging problems.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

#M365CORE

• Identify data sources, integrate multiple sources, or types of data, and develop 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. 
• Hands on experience in creating and deploying Machine Learning Methods like Regression, Classification, Clustering, Dimensionality Reduction, Ensemble Methods, Natural Language Processing and Forecasting Methods.
• Creation of full lifecycle of predictive models, starting from analysis problem formulation, data unifications, model training & deployment. Identification of actionable & build alert system as per need.
• Identifying anomalies - involves watching user behavior to catch violations of terms of use, spotting unusual activities, building machine learning models to flag suspicious behavior early and prevent abuse.
• Building Fraud Detection models- identifying users who exceed normal behavior patterns, indicating potential fraud. Implement Machine learning models to recognize unusual transaction amounts or frequencies, helping to detect and stop fraudulent activities.
• Experiment (Control/Treatment) design & hypothesis testing and ensuring the decision criteria for the experiment are correctly reported and interpreted considering the statistical confidence & Significance --good to have.
• Transform formulated problems into implementation plans to develop forecast models to predict future trends and apply appropriate decision-making metrics, backed up with thorough exploration data analysis. 
• Acquires and uses broad knowledge of innovative methods, algorithms, and tools from within Microsoft and from the scientific literature and applies his or her own analysis of scalability and applicability to the formulated problem.