Data Scientist

Cloud Operations + Innovation (CO+I) is the team behind one of the World's largest Cloud Infrastructures, responsible for powering all Microsoft online Products and Services as well as powering Microsoft's "Cloud First" mission. Our focus is on smart growth, high efficiency, and delivering trusted experience to customers and partners worldwide, and we are looking for passionate Data Scientist professionals to help achieve that mission.   
 
If you want to have fundamental impact on how Microsoft's Cloud is deployed and operated globally, be involved with one of the most strategically important teams at Microsoft, have technical and business acumen, and leadership, creativity and out-of-the-box thinking are some of the skills you bring to the table - this job is for you!   
 
We are looking for an Data Scientist to collaborate with our data science and engineering teams to build solutions that improve our data center delivery cycle time. As a Data Scientist, you will partner with various teams to develop business requirements to standardize the business input and develop a long-term vision. 

Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. 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.

Required/Minimum Qualifications

• Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field
  • OR Master's Degree 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 consulting experience
  • OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 2+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
  • OR equivalent experience.
• 1+ year(s) hands-on experience in programing in Python.
• 1+ year(s) hands-on experience in SQL queries.
• 1+ year(s) hands-on experience in a data visualization tool like Power BI.

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

• 2+ year(s) hands-on experience in Data Acquisition/ETL.
• 2+ year(s) hands-on experience in AI, ML or statistical modeling.
• Experience in data center infrastructure.
• Proficiency in applying quantitative methods to structured and unstructured data for data analysis, pattern recognition, insights generation, metrics development, and scaling reports.

Data Science IC3 - The typical base pay range for this role across the U.S. is USD $98,300 - $193,200 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 $127,200 - $208,800 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 October 14, 2024.

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.

#COICareer

• Business Management: Understands business goals of the customer, explores analytics applications, incorporates best practices in identifying growth opportunities.

• Data Preparation and Understanding: Assists with extract transform load (ETL), addresses data quality issues, applies the right analysis techniques and leverages the right data exploration technologies and tools (e.g., structured query language (SQL), Python, descriptive statistics, etc.).

• Building end-to-end Business Intelligence (BI) Solutions: Owns business customer relationship, Data Acquisition/ETL, BI reporting, Data Quality/Security aspects by adopting standard architectural standards.

• Business Understanding and Impact: Learns project requirements from a business perspective and assists senior leaders with project assessment, development of a project plan and actionable business insights.

• Coding and Debugging: Contributes to agile code development, testing/debugging, documentation and implementation to improve reliability of systems/solutions.

• Customer/Partner Orientation: Leverages data science and assists with interpreting results, develops insights, and communicates results to customers.

• Evaluating for Insight and Impact: Creates models to achieve business objectives, analyzes model performance and incorporates customer feedback into model evaluation.

• Modeling and Statistical Analysis: Incorporates various modeling techniques (e.g., linear/logistic regression, decision-tree, etc.) and contributes to the research, identification, prototyping, and productizing of machine learning (ML) / artificial intelligence (AI) techniques and algorithms.

• Problem Solving: Possesses problem-solving skills to help refine problem statements and solve them with the available data.