Microsoft Operational Data Scientist 

India, Karnataka, Bengaluru 

494882155

You should be independent, curious, and have an attitude of can learn and can get it done. You need to be open (and potentially familiar) to service and business operations responsibilities, and able to perform data analysis at different scales, be open to / interested in quick coding to get analysis done or automate fixed processes. Given open ended business or analysis or introductory data science problems, you should be able to think structurally and form hypothesis / strategies in a reasonable manner. Having the ability to undertake precise communication with different types of audiences is a plus. The team is based out of Bangalore, but you may work from different locations in India, as per current flexible work policy of Microsoft.

Qualification

• 2-3 years of relevant experience is expected but for exceptional people experience is not a bar.
• Bachelor’s or Master’s degree in a STEM or Business-related field with strong emphasis on data analytics; again we are open to being flexible for exceptional people.
• Knowledge of SQL or something similar, is important.
• Knowledge of Python and / or R in general coding as well as in data analysis has high weightage.
• Knowledge of basic and / or advanced statistical methods / knowledge of machine learning disciplines is a plus.
• Good verbal and written communication skills
• Technical competence & strong analytical skills
• Having worked in a web search related company is a plus.

Core Responsibilities

Marketplace Operations:

1. Own Bing ads market monitoring and investigations.
2. Run analysis to explain behaviour of marketplace key performance indicators.
3. Strong communication skills and ability to modify presentation as per audience.
4. Ability to independently drive high visibility issues affecting Bing. Will need to demonstrate strong ownership and time flexibility during outages.
5. You will be part of a 12/7 on-call rotation (once every 8-10 weeks) where you will be the person on point to monitor the health of the Bing Ads marketplace and respond to perceived issues.

Open ended analysis:

This includes but is not limited to identifying key KPI’s and their tracking, dashboarding, Insight generation, performance analysis of key drivers.

Running exploratory analysis to prove / disprove data hypothesis.

Automation and Engineering:

Inclination to explore mechanisms to automate analysis steps, undertake engineering orchestration, which may or may not require ability to do quick coding and or learning aspects of engineering infrastructure, as also exploring Machine Learning Solutions / Approaches