Senior Data Scientist

Microsoft is on a mission to empower every person and every organization on the planet to achieve more. Our culture is centered on embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. In doing so, we create life-changing innovations that impact billions of lives around the world. You can help us achieve our mission.

Cloud Operations + Innovation (CO+I) is the organization that powers Microsoft’s core cloud platforms and services that millions of people use every day. With more than 95% of Fortune 500 business on Azure, 180 million using Office 365, and millions using other services – all running on Microsoft's cloud infrastructure, CO+I builds and operates the foundation upon which Microsoft’s mission to empower every person and organization comes to life. 

The DCIS Strategy & Data team is looking for a Senior Data Scientist to provide deep, data-driven insights into datacenter operations processes and systems that will inform strategy in key areas. Ideal candidates will have technical skill, business domain knowledge, and the ability to explain findings and concepts in plain language to a variety of business stakeholders at multiple organizational levels. Exceptional candidates will be able to work in an applied manner from concept through execution and will be able to drive and affect impact with their work.  Your work will shape and impact outcomes in a variety of domains within datacenter process, operations, systems, and strategy. In our evolving cloud business, constant growth in both scale and complexity makes this an exciting opportunity to transform how we grow Microsoft's cloud infrastructure.

In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.

• This role is located either in one or all hub locations - Atlanta, GA, Washington, D.C., Redmond, WA, San Antonio, TX or Phoenix, AZ.
• Relocation support will be provided, and successful candidates must relocate or reside within 50 miles of the hub office location.
• This role is eligible for hybrid or remote work, up to 100%.

Required Qualifications:

• Doctorate in Data Science, Mathematics, Statistics, 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 Master's Degree in Data Science, Mathematics, Statistics, 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 Bachelor's Degree in Data Science, Mathematics, Statistics, 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 equivalent experience.

• 5+ years of experience using statistical computing languages (R, Python, Julia, SQL, etc.) to manipulate data and draw insights from large data sets.
• 5+ years of experience visualizing complex data in popular frameworks or platforms (such as ggplot, Matplotlib, Plotly, Bokeh, Altair, Power BI, Tableau, etc.)

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.

Preferred Qualifications:

• Domain knowledge of datacenter operations, server repair, IT, and/or shop floor processes, and experience mining these processes to produce insights is preferred.
• Familiarity with deep learning frameworks, e.g., TensorFlow, PyTorch, etc., is a plus.
• Experience on large scale computing systems like COSMOS, Hadoop, MapReduce and/or similar systems preferred.
• Experience with working in cloud-based data science, database, big data processing, and reporting tools – preferably on Azure (Azure ML, Power BI, Azure Data Explorer/KQL, Synapse, Databricks, etc; Experience working in an Agile/Scrum SDLC, preferably using Azure DevOps and GitHub.

Data Science IC4 - The typical base pay range for this role across the U.S. is USD $117,200 - $229,200 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 $153,600 - $250,200 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

Microsoft will accept applications for the role until January 29, 2025. 

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.  We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

#COICareers

• Explore and analyze data to supply meaningful insights on a wide range of organizational processes.
• Communicate with technical and non-technical audiences and contribute modeling expertise as a team player.
• Partner with teams to identify and explore opportunities for the application of machine learning and predictive analysis.
• Influence across disciplines and teams to ensure we are making data-driven decisions and solving critical problems for our customers.
• Design, prototype, implement and test descriptive, predictive analytics, forecasting, and causal inference models.
• Bring relevant data into a central system to create a single version of the truth.
• Build and deploy visualizations that deliver insights to decision-makers at an array of levels, from executives to front-line staff; Mentor others and stay current with advances in the industry.