Data & Applied Scientist

Key Skills

building projects, Java Programming, Large scale data processing, Python Programming, SQL

Job Description

Microsoft Shopping enables customers to shop with confidence, convenience and with savings, anywhere. Providing solutions that delight online shoppers and enable retailers to realize maximum revenues is a significant opportunity for Bing, Azure and Microsoft overall. This global team has built best in class shopping experiences span across all surfaces on Windows, Edge, MSN, and Bing. This is self-motivated, and results driven environment that will unleash your potential.

What is in it for you?

Come join and be part of a team of strong developers who have relentlessly been working on power the data that powers awesome Retail experience on Bing, the area which contributes to the significant revenue stream for Bing. If you are results driven and you like ambitious goals, this is the place to be. The team has grown significantly in the last 1 year, attracting strong talent both internally and externally. Ever since the team was founded, every release has resulted in added scope and responsibility. With the developers who are strong at traditional software engineering and Machine learning/Math skills, the team’s contributions are on an upward trajectory.

We are looking for a strong IC, who can lead/drive areas like crunching large scale data, pushing the limits of training techniques, pushing data in real time, feature engineering etc. You will be expected to take on some of the complex areas and drive the project from conception to end. This may involve coming up with creative ideas, collaborating with partner teams, working out details during the execution and deployment stages. We are looking for experienced engineer who can take the challenge of innovating generic techniques to solve hard conflation problems that can scale across various type of data sources, has interest in data sciences and ML field and can start contributing to the areas of Bing Retail.

Responsibilities

• Innovate techniques to enrich product graph using various types of data sources.
• Training components to identify the retail products and conflate them from an unstructured data description with high precision.
• Drive insightful experiences for our users such as sentiment analysis of a product from reviews, price trends etc.
• Data Analysis to identify gaps in the system and potential solutions to overcome those.
• Improve product search ranking stack by feature engineering, additional web based signal generation improving overall relevance and user engagement.

Qualifications

• Strong Analytical & Problem-Solving skills
• 2+ years of experience in Software Development, building ML / DL models
• Experience in working with large scale systems.
• B.S or M.S in Computer Science or Math
• Goals Oriented.
• Good communication skills
• Passion, Drive and Can-do attitude
• Experience in Search, building large scale knowledge graphs background would be a huge plus