Senior Data Scientist
 Microsoft | |
 United States, Washington, Redmond | |
 Jan 03, 2025 | |
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OverviewMicrosoft's Global Media and Partnerships team is a diverse, collaborative, solutions-oriented team committed to planning, activating and fiscally managing all paid media/advertising, strategic partnerships and agency relationships across Microsoft. The team works across business groups to tie objectives, insights and innovation together to drive business impact through world-class media investment and measurement strategies. We are seeking a highly skilled and experienced Senior Data Scientist to join our dynamic team. The ideal candidate will have a background in data science, business intelligence, or business and financial analysis, along with significant experience in paid media measurement, optimization 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.
ResponsibilitiesData Preparation and UnderstandingPrepare and manage data for project plans, proactively detect changes, and communicate updates to senior leads. Develop usable data sets, contribute to data ethics and privacy policies, and engage with customers about data integrity and cleanliness.Evaluating for Insight and ImpactEnsure models align with business goals, evaluate their effectiveness, design feedback methods, mentor engineers, and present findings to stakeholders.Industry and Research Knowledge / Opportunity IdentificationProvide technical feedback to the engineering team, identify business opportunities, propose collaborations, support strategy execution, leverage existing systems, share industry knowledge, and contribute to thought leadership and best practices.Modeling and Statistical AnalysisUse machine learning solutions and algorithms to identify the best approach for objectives. Understand and apply modeling techniques, manage data quality, and communicate findings to stakeholders. Write scripts in T-SQL, U-SQL, KQL, Python, and R. Construct hypotheses, design experiments, analyze results, and communicate effectively. Develop scalable operational models with data engineering teams. Coach engineers on best practices. Understand Microsoft's Artificial Intelligence (AI) and Machine Learning (ML) tools. Break down complex topics for customers.Help the Solution Architect and provide guidance on model operationalization that is built into the project approach using existing technologies, products and solutions, as well as established patterns and practices. OtherEmbody our Culture and Values | |