Data & Applied Scientist-Substrate App Platform at Microsoft

Responsibilities

• Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
• Mine and analyze signals data from the substrate to drive optimization and improvement of product user experience.
• Develop custom data models and algorithms to apply to data sets.
• Coordinate with different functional teams to implement models and monitor outcomes.
• Develop processes and tools to monitor and analyze model performance and data accuracy.

Qualifications

Required Qualifications:  

• MS/BS in CS/EE/Applied Mathematics/Statistics/DS/ML or related fields.
• 3+ years of professional experience working with machine learning libraries and real world data science problems.
• 3+ years of professional experience in at least one scripting language (Python, NodeJS, Ruby, Perl).
• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.

Preferred Qualifications

A successful candidate will show skills in the following areas:

• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
• Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
• Passion for problem-solving.
• Good communication skills
• Working in agile teams with strong customer focus
• Experience in Azure, Exchange, or other cloud and distributed systems is a plus.