New 
Data Scientist II
 Microsoft | |
 United States, Washington, Redmond | |
 Oct 16, 2025 | |
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OverviewIf you have an interest in data and are committed to developing systems that enhance informed decision-making at Microsoft, the Insights, Data Engineering & Analytics team offers a platform for professional growth.This team plays a crucial role in supporting Microsoft 365 and the Experiences + Devices group (E+D), both of which are central to the Company's mission to empower individuals and organizations to achieve more. Our objective is to foster a data-informed culture by equipping the Experiences + Devices group with actionable insights to guide their decisions. This initiative represents a significant opportunity to deliver impactful information that will improve operational efficiency, drive empowerment, and support Microsoft's success in the evolving AI landscape.We are looking for a Data Scientist II to support Compete; leveraging data and scientific models to benchmark how Microsoft products are performing relative to the competitive space and bring that "outside-in" perspective. The role is highly visible as we support senior executives with data to help inform their decision making. AI is a big focus, both as a space Microsoft competes in and we support but also as tools we are actively integrating to our personal workflows.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.
ResponsibilitiesUnderstand problems facing projects and is able to leverage knowledge of data science to be able to uncover important factors that can influence outcomes on specific products. Describe the primary objectives of the team from a business perspective. Produces a project plan to specify necessary steps required for completion. Assess current situation for resources, risks, contingencies, requirements, assumptions, and constraints. Coach less experienced engineers in standards and best practices. Use their understanding of organizational dynamics, interrelationships among teams, schedule constraints, and resource constraints to effectively influence partners to take action on insights. Understand business strategy briefings and articulates data driver strategies for specific industries or cross-industry functions, such as: Sales/Marketing, Operations, and new Data Monetization Schemes. Engage business stakeholders to capture and shape their thinking on data-driven methods applicable to their value chain. Lead customer conversations to understand, define, and solve business problems.Collaborate with end customer and Microsoft internal cross-functional stakeholders to understand business needs. Formulate a roadmap of project activity that leads to measurable improvement in business performance metrics over time. Influence stakeholders to make solution improvements that yield business value by effectively making compelling cases through storytelling, visualizations, and other influencing tools. Exemplifies and enforces team standards related to bias, privacy, and ethics.Industry and Research Knowledge / Opportunity Identification. Use business knowledge and technical expertise to provide feedback to the engineering team to identify potential future business opportunities. Develop a better understanding of work being done on team, and the work of other teams to propose potential collaboration efforts. Coach and provides support to teams to execute strategy. Leverage capabilities within existing systems. Share knowledge of the industry through conferences, white papers, blog posts, etc. Research and maintains deep knowledge of industry trends, technologies, and advances. Actively contributes to the body of thought leadership and intellectual property (IP) best practices.Data Preparation and Understanding. Acquires data necessary for successful completion of the project plan. Proactively detects changes and communicates to senior leads. Develop useable data sets for modeling purposes. Contribute to ethics and privacy policies related to collecting and preparing data by providing updates and suggestions around internal best practices. Contribute to data integrity/cleanliness conversations with customers.Apply a customer-oriented focus by understanding customer needs and perspectives, validating customer perspectives, and focusing on broader customer organization/context. Promote and ensures customer adoption by delivering model solutions and supporting relationships. Works with customers to overcome obstacles, develops tailored and practical solutions, and ensures proper execution. Build trust with customers by leveraging interpretability and knowledge of Microsoft products and solutions. Helps drive realistic customer expectations, including information about the limitations of their data.Write efficient, readable, extensible code from scratch that spans multiple features/solutions.Embody our culture and values. | |