New 
Data Scientist, Media Sciences
 Microsoft | |
 United States, Washington, Redmond | |
 Jan 11, 2025 | |
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OverviewMicrosoft's Research + Insights Team is among the brightest, boldest, most innovative in the world. We are intellectually curious, analytical, persistent in sharing our opinions and recommendations, and believe impact is a team sport. We strive to have an open, inclusive, and transparent culture.As part of this team, you will have the opportunity to work on business-critical projects, learn from experts, and make a real impact on the future of technology. We are seeking an experienced and motivated Data Scientist to join our team. 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. 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.
ResponsibilitiesThis exciting new role informs crucial marketing efforts by mining 1P (first party) and 3P (third party) big data assets for actionable insights to diagnose and uncover new opportunities. They will build predictive models using various data and collaborate with those in data engineering teams on data requirements and storage, including guidance on model scaling. All of these responsibilities will be completed in compliance with Microsoft's Privacy Policy and in accordance with our Secure Future Initiative.Apply technical consumer marketing/ media data knowledge to inform modeling design.Collaborate with other data scientists on business goals and outcomes for audiences.Write durable code for predicting audiences based on testing goals and addressable market sizes using SQL, Python, Azure Databricks and similar tools.Use statistical knowledge to assess quality of models and audience predictions.Scale audience models to ensure usable sizes for testing.Create requirements and drive consistency for various media based models and analytic approaches.Track and analyze KPIs relating to audience.Embody our culture and values. | |