Data Scientist II

Microsoft • Redmond, WA

9d

About The Position

Are you passionate about leveraging large volumes of data sets to draw deep insights designed to improve business strategies and customer experience with marketing programs to drive impact? If yes then IDEAs (Insights Data Engineering and Analytics) group is looking for qualified candidates to work with us with us to leverage the power of data, the skill of analysis, the science of learning to empower our stakeholders with insights on growth levers.
Our team plays a key role in providing data and analytics for agents solutions across Microsoft and covers agent maker platforms and SDKs, agent usage across surfaces, IQ layers, agent observability and management.
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.

Requirements

• Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field OR Master's Degree 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 consulting experience OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 2+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience.
• Conduct data analyses deliver insights and learnings on marketing and engineering initiatives / programs (BI) for all customer segments based on usage.
• Define, generate, and monitor KPI metrics for different agent solution areas for executive and external reporting
• Automate reporting and provide exploration capability for reporting users
• Partner with multiple marketing and engineering teams to explore data, design learning plan, and conduct analyses
• Present insights and learnings to key stakeholders / executives, drive actions and impact
• Provide thought leadership on customer solution areas marketing based on insights / learning from hypothesis proven with deep analytics
• Partner with Machine Learning Science team to develop forecasting
• 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.

Nice To Haves

• 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 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 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 equivalent experience.
• Knowledgable about AI, with a firm understanding of the problem space or about applying your skillset to new domain areas such as AI agents
• 4+ years experience working on very large data sets of sparse high dimensional data and experience in pre-processing and analyzing such data using Sql or scripting languages to gain actionable insights
• An independent self-starter who likes to take ownership and independently seeks out new challenges
• 2+ years experience in processing and building visualizations using reporting tool as Power BI
• Solid skills in statistics/machine learning languages and packages such as Python, R, Azure ML

Responsibilities

• Conduct data analyses deliver insights and learnings on marketing and engineering initiatives / programs (BI) for all customer segments based on usage.
• Define, generate, and monitor KPI metrics for different agent solution areas for executive and external reporting
• Automate reporting and provide exploration capability for reporting users
• Partner with multiple marketing and engineering teams to explore data, design learning plan, and conduct analyses
• Present insights and learnings to key stakeholders / executives, drive actions and impact
• Provide thought leadership on customer solution areas marketing based on insights / learning from hypothesis proven with deep analytics
• Partner with Machine Learning Science team to develop forecasting

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level