Senior Data Scientist

Key Skills

Aartificial intelligence, Algorithms, Azure, Data science techniques, Large scale data processing, Machine learning techniques, Python Programming

Job Description

Microsoft Silicon, Cloud Hardware, and Infrastructure Engineering (SCHIE) is the team behind Microsoft’s expanding Cloud Infrastructure and responsible for powering Microsoft’s “Intelligent Cloud” mission. SCHIE delivers the core infrastructure and foundational technologies for Microsoft's over 200 online businesses including Bing, MSN, Office 365, Xbox Live, Teams, OneDrive and the Microsoft Azure platform globally with our server and data center infrastructure, security and compliance, operations, globalization, and manageability solutions. Our focus is on smart growth, high efficiency, and delivering a trusted experience to customers and partners worldwide and we are looking for passionate, engineers to help achieve that mission.

The Cloud Hardware Analytics & Tools (CHAT) Team within SCHIE develops advanced analytical and tooling solutions to support and improve the quality of Microsoft Azure. We collect and analyze data across the full Azure stack, hardware & software components, Silicon development processes, and much more. CHAT Data Science, a branch of CHAT, provides data science support, machine learning and artificial intelligence solutions, and advanced visualizations to cloud engineering and management partners. We are looking for a Senior Data Scientist to support our custom data analytics and visualizations platform. This high-impact role combines software engineering with data science, and will have direct contributions to Azure-level projects, including leading highly visible projects through data-driven approaches. This role closely collaborates with other Data Scientists, BI and Data Engineers, Software Engineers, Program Managers, and Hardware Engineering teams.

Required/Minimum Qualifications

• Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)

• OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)

• OR Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)

• OR equivalent experience.

• 5+ years of industry experience developing software platforms, preferably for data analytics

• Technical engineering experience with coding languages including, but not limited to, Python, R, C++, Java, Go

• Fluent with a database query languages such as SQL, Kusto, or other like languages

• Experience with software engineering skills: design, development, and testing

• Experience working with subject matter experts, and translating business problems into data / engineering solutions

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.

Additional or Preferred Qualifications

• Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)

• OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)

• OR Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)

• OR equivalent experience.

• 5+ years of experience developing machine learning / AI algorithms

• Experience deploying ML models on the Cloud

Data Science IC4 - The typical base pay range for this role across the U.S. is USD $112,000 - $218,400 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $145,800 - $238,600 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:https://careers.microsoft.com/us/en/us-corporate-pay

Responsibilities

• Analyze large-scale Azure data to address critical business problems

• Work on new software features within our analytics and visualizations platform

• Work on complex, mission-critical solutions that involve multiple Azure Services

• Design and develop production-level code for data science and machine learning

• Work in collaborative environment