Data & Applied Scientist II

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

The Microsoft Azure Storage team is looking for a Data Scientist - II with the ability of using data to solve high impact business problems. In this role you will help shape and strengthen Azure Storage’s technical and business strategy. You will have the opportunity to use machine learning techniques, statistical analysis to experiment with the data and push the boundaries of how much value we can create for our customers, business, and engineering within Azure. You will be able to use the insights you gain from the experiments and show impact towards business by getting to work with our brightest engineers across the Azure stack to deliver promising and impactful end to end results. If you love data, if you want to solve some of the most exciting challenges on a massive product like Azure storage and if you think you have the skills for it, this could be position for you.

Responsibilities

• Research, define, and develop new methods for analyzing and measuring quality of product features and product releases.
• Design methodologies to model components of distributed systems.
• Design and engineer experiments on end-to-end scenarios.
• Analyze data and study the system to provide meaningful insights on the product quality.
• Build predictive models and conduct experiments to gain insights into quality, health of the product and customer usage.
• Cross-collaborate with engineers on building statistical models, applying machine learning techniques for targeted solutions and effectively communicating the analysis and findings through interactive visualizations, documents, and presentations.

An ideal candidate would:

• Possess strong interpersonal, oral, and written communication and presentation skills, as well as the ability to communicate complex findings in a simple manner.
• Enjoy discovering and solving problems, proactively seeking clarification of requirements and direction, being a self-starter who takes responsibility when required.
• Be able to explore different directions based on data and be able to quickly change direction based on the analysis.
• Qualifications

Basic Qualifications:

• 2+ years of experience in Software Development
• 1+ year experience in Data Science, Machine Learning, or related fields.
• BS in Computer Science, Statistics, Applied Mathematics, Physics, or other engineering or science fields.

Preferred Qualifications:

• MS/PhD with research experience in Statistics/Machine Learning.
• Experience developing end-to-end Machine Learning systems.
• Understanding of public cloud design patterns and considerations in the areas of Distributed Storage Systems, Big-Data, Data Mining, Information Retrieval.
• Experience with open-source, cloud-based platforms, Microsoft Azure, or any other public/private cloud platforms.
• Experience with statistical, predictive modeling using tools like R, Python, Hadoop, Scikit-learn. Experience with C#/C++/Java.
• Experience with Data Structures/Algorithms, Databases, and Cloud Storage.
• Proven ability and experience in using mathematical and statistical computation and modeling to improve business KPIs.
• Proven ability to plan, schedule and deliver quality software.