Are you passionate about building scalable models and innovative solutions to enhance capacity experiences for Azure customers? Do you thrive on diving into large, complex datasets to uncover meaningful, data-driven insights that drive impactful decisions? If you thrive in a dynamic environment and are excited about using your skills to build, maintain, manage, and expand the platform with new services and functionality while continuously identifying improvement areas, then we have the perfect opportunity for you! Join our team and become a key player in driving Customer & Capacity insights across the Azure Fleet Capacity (AzFC) team.
As a Data Scientist II on our team, you will be a key player in driving Customer insights across the organization, where you will partner with Region and Customer Owners, Capacity Operations, and Program Managers to build efficient decision-making capabilities. This role offers you the opportunity to accelerate your career growth, deepen your technical and business acumen, and become a leader in data and technical design and implementation. Embrace the flexibility of our work environment, with options for partial or full remote 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.
Responsibilities
You will understand where to acquire the data necessary for your project plan and use querying, visualization, and reporting techniques to describe that data. You'll also explore data for key attributes and collaborate with others to perform data science experiments using established methodologies.
You will understand modeling techniques, select the correct tool and approach to complete objectives, and evaluate the output for statistical and business significance. You'll also analyze model performance and incorporate customer feedback into its evaluation.
You will understand the current state of the industry, including current trends, so that you can contribute to thought leadership best practices. You'll also write efficient code for a specific feature, and develop a working expertise of proper debugging techniques.
Build dashboards, reports and solutions that enable teams to track key performance indicators and make data-informed decisions.
Drive improvements through design reviews, code reviews, and test case reviews, integrating DevOps principles.
Build code to extract raw data, validate its quality, and apply your deep data knowledge to ensure the correct data is ingested and integrated across the data platform. Identify opportunities to leverage and contribute to the development of data tools that are used to transform, manage, and access data.
Manage critical platform issues as they occur, working with our global team on ensuring platform availability and alignment to our agile sprint planning process.
Qualifications
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 consulting experience
OR equivalent experience.
1+ year(s) customer-facing, project-delivery experience, professional services, and/or consulting experience.
1+ year(s) of experience in SQL, Python and experience with business intelligence tools (e.g., Power BI, Tableau).
1+ year(s) experience working with large datasets and big data technologies (e.g., Azure Data Lake, Synapse, Databricks, Spark, or equivalent).
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:
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)
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.
Proficient statistical knowledge, causal inference, or other experimentation methodologies.
1+ year(s) experience with Data Factory, Azure Logic Apps, CI / CD and large scale analytical platforms.
Candidate must be comfortable manipulating and analyzing complex, high dimensional data from varying sources to solve difficult problems.
Data Science IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 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 $131,400 - $215,400 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 July 23, 2025.
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Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations (https://careers.microsoft.com/v2/global/en/accessibility.html) .
