Overview
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.
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
Qualifications
Required/minimum qualifications
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.
Additional or preferred qualifications
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
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
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.
DPG, #IDEAS #DPGHiring
Data Science IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $131,400 - $215,400 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations. (https://careers.microsoft.com/v2/global/en/accessibility.html)
