Job Description
This inclusive employer is a member of myGwork – the largest global platform for the LGBTQ+ business community. 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 Software Engineer on our Retention 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 Senior 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. As a project lead for data-science projects, you will align with business goals and deliver value.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 field AND 5+ 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 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR 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 equivalent experience. 5+ years of industry experience in handling high volumes of structured and unstructured data 5+ years leveraging passion for and understanding the need to deliver the right business impact by working with stakeholders to turn business problems into data analysis questions and unearthing deep insights from data. 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: Have a track record of innovative thinking and problem-solving skills using Big Data. Proven ability to deliver on ambiguous projects with incomplete data. Familiarity with Microsoft tooling/ecosystem. Knowledge and experience working within cloud computing environments such as Azure or Amazon Web Services (AWS). Ability to design and develop interactive dashboards, reports, and data visualizations to support analysis and decision-making. Knowledge of Power BI. Proven experience in query writing and optimization. Experience working as part of geographically dispersed, diverse, and virtual teams. Demonstrated ability to work with customers and collaborate across company boundaries.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.Responsibilities Develops and leads data-science projects to align with business needs and deliver value. Develops and applies ML frameworks and best practices for scalable and ethical solutions. Works closely with other data scientists and data engineers to deploy models that drive SMB M365 business. Oversees review of data analysis and modeling techniques. Ensure selected modeling techniques are appropriate and align with desired project outcomes. Decides on next steps (e.g., deployment, further iterations, new projects). Provides feedback, drives improvement, and shares knowledge as a data science expert. Writes and debugs code for complex projects and leads solution development. Provides customer-oriented insights and solutions by understanding the business, product, data, and customer perspective. Works cross functionally to translate business problems into ones that can be solved and informed by data analysis. Has curiosity and apply analytical skills to dive deep into data to find key insights that impact the business. Develops models of usage, user behavior & business behavior to make recommendations and influence the product road map. Works with other teams across Microsoft to develop key metrics to achieve business outcomes. Be a champion of AB testing. Design, execute and analyze experiments to prove product change attribution Design and develop data pipelines and queries to automate the extraction, transformation, and loading of data, ensuring scalability, reliability, and data quality.#LI-DNI