Senior Data Scientist

The Azure, Windows, and Industry Monetization (“AWIM”) organization is a big picture team at our core that encourages a diverse and inclusive culture. We are respectful, collaborative, honest, accountable, and caring. Employees on the team can expect to have opportunities to grow their own experiences and career while shaping the future of the major businesses with data-informed strategies. We are seeking a Senior Data Scientist to join our team!

We are growth strategists who enable the Microsoft mission by creating durable profit growth through high-impact monetization strategies, packaging, and pricing. Our charter is significant and spans key growth engines for the company including all Azure solution areas, Windows client and cloud offerings, and our Education and industry offerings and programs.

What I will do for you as your manager:

• Champion your success within the team and with leadership
• Provide opportunities to gain new experiences and build on your strengths
• Support who you are as your authentic self
• Make your career development a consistent priority

How you can make an impact:

You’ll be working in the Azure, Windows, and Industry Monetization organization in the group that is focused on global Azure growth and yield management. As a Senior Data Scientist, you will use your expertise in data science, machine learning, and artificial intelligence to solve real-world problems for customers. You will have the opportunity to significantly impact Microsoft’s Azure growth and monetization strategy.

You will work with diverse data sets, apply advanced statistical and computational techniques, and communicate your findings and recommendations to various audiences. You will also collaborate with Microsoft engineering, business planning, and product teams to provide feedback and insights. You will uphold the highest standards of ethics, privacy, and trustworthiness in your work.

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 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, 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 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 equivalent experience.
• Experience in basic hypothesis testing, p-values and trustworthy experiment design.
• Proficiency in data science experimentation methods, such as cross validation, regularization, encoding, or activation functions.
• Experience in programming languages, such as Python, R, C#, or Java, and software development techniques, such as CI/CD, Docker, or REST API.
• Proficiency in data science tools, deployment technologies, and frameworks, such as Azure Machine Learning, Azure Cognitive Services, Azure Databricks, Kubernetes or Azure Functions, Hadoop, Spark, Delta Lake, MLflow, or TensorFlow.

 Additional or Preferred Qualifications

• 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 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 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 equivalent experience.
• Proficiency in communicating with clarity and impact, such as influencing others.

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 unti January 24, 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.

Specific responsibilities include:

• Understand the business objectives and challenges of customers and partners and formulate data-driven solutions.
• Acquire, prepare, and analyze data from various sources, ensuring data quality and integrity.
• Select and apply appropriate machine learning models and algorithms to address specific problems and scenarios.
• Train, optimize, evaluate, and deploy machine learning models at scale, using Microsoft tools and frameworks.
• Present and explain the results and implications of data analysis and modeling to senior customer stakeholders.
• Research and keep up with the latest industry trends, technologies, and advances in data science, machine learning, and artificial intelligence.
• Collaborate with Microsoft program managers, engineers, and cross-functional teams to deliver high-quality solutions and customer satisfaction.
• Mentor other team members.
• Contribute to data-driven culture by collaborating with product and engineering teams across Azure to establish and share best practices.
• Embody Microsoft’s Culture & Values.