Not Authorized
You are currently not authorized to access this section.
Please contact your Administrator to change your authorization settings.
Please contact your Administrator to change your authorization settings.
Machine Learning Scientist II
Redmond, WA
Job Description
OverviewThe Insights, Data Engineering & Analytics team (IDEAs), is a central data science team for M365 engineering and marketing. As one of the largest data science groups at Microsoft, our team plays a key role in providing data and analytics for M365 and owns the end to end ML and decision sciences charter. By joining our team, you will be at the heart of data, insights, machine learning, AI, and technology, lighting up actionable insights that drive key business decisions for the entire M365 organization. As a Machine Learning Scientist II in the IDEAs team, you will be bringing relevant data into a central systems to create the single version of truth and perform opportunity analysis and hypothesis generation for stages throughout the end-to-end customer lifecycle. This opportunity will allow you to gain expertise in designing, prototyping, implementing and testing descriptive, predictive analytics, forecasting, causal inference models and also thrive in a team environment that values cross team collaboration and building on the success of others.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.
ResponsibilitiesYou will build advanced machine learning models (behavior segmentation, churn prediction, purchase propensity, recommendation engines, causal inference etc.) with impact spanning engineering, marketing, and finance. As you identify and explore opportunities for the application of machine learning, AI and predictive analysis, you will partner with teams across product, marketing, sales and engineering teams. You will work with engineers to architect and develop operational models that run at scale. You will communicate with technical and non-technical audiences, and contribute with your modeling expertise as a team player. You will tackle hard problems in innovative ways, drive self-directed initiatives, focusing on delivering the right results. Embody our culture and values
ResponsibilitiesYou will build advanced machine learning models (behavior segmentation, churn prediction, purchase propensity, recommendation engines, causal inference etc.) with impact spanning engineering, marketing, and finance. As you identify and explore opportunities for the application of machine learning, AI and predictive analysis, you will partner with teams across product, marketing, sales and engineering teams. You will work with engineers to architect and develop operational models that run at scale. You will communicate with technical and non-technical audiences, and contribute with your modeling expertise as a team player. You will tackle hard problems in innovative ways, drive self-directed initiatives, focusing on delivering the right results. Embody our culture and values
Job Summary
Company
Start Date
As soon as possible
Employment Term and Type
Regular, Full Time
Required Experience
Open
Email this Job to Yourself or a Friend