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OverviewAre you ready to make a real impact on Microsoft's revenue?
Join our SMB Engineering team and help us unlock the potential of the rapidly growing Small and Medium Business (SMB) segment.
As a Data Scientist on our SMB Engineering team, you'll be responsible for creating delightful experiences that directly impact revenue and customer satisfaction.
Our SMB Engineering team is agile, creative, and determined to foster an experimentation culture.
Despite being a recent addition to the E+D family, we have the potential for expansive growth and impact.
Our responsibility is to accelerate M365 SMB Growth by creating fluid experiences for SMB customers through various channels.
We work collaboratively as a tight-knit unit, united behind a common objective, and are responsible for high-impact projects that have a direct impact on revenue.
With a focus on adopting an experimentation culture, we explore innovative approaches and embrace new ideas to release features that push boundaries.
We value individual growth, camaraderie, and having fun.
As a Data Scientist for the SMB Engineering team, you will have the opportunity to leverage Microsoft's rich and diverse data sources to create innovative solutions that help the SMB businesses grow and succeed.
You will work closely with product owners, engineers, marketers, and other stakeholders to understand their needs and translate them into actionable insights and recommendations.
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.QualificationsRequired Qualifications: Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related fieldOR equivalent experience.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: Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related fieldOR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)OR equivalent experience.Exposure to Azure Data Explorer / Kusto Query Language / Machine Learning algorithms.Experience in Software/Data Engineering.Familiarity with Microsoft tooling/ecosystem are a plus.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.
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.#CSEResponsibilitiesDevelops and works with Senior Data Scientists on projects to align with business needs and deliver value.
Contributes to the development and application of frameworks and best practices for scalable and ethical solutions.Works closely with Senior Data Scientists and Data Engineers to deploy models that drive SMB M365 business.Leverage telemetry and monitoring to provide insights.
Follow data modeling and handling procedures to maintain compliance with all applicable laws and policies across your assigned workstreams.Performs analysis on A/B testing.Design and develop data pipelines and queries to automate the extraction, transformation, and loading of data, ensuring scalability, reliability, and data quality.#LI-DNI