Machine Learning Data Scientist

About the position

The Worldwide Incentive Compensation (WWIC) team’s mission is to enable strategy, motivate sellers and reward results. In pursuit of this mission, the team designs and implements variable incentive-based compensation plans for more than 30,000 sellers, sales leaders and consultants across Microsoft. We are the experts in Incentive Compensation at Microsoft that are responsible for aligning incentive plans and targets (quotas) to motivate seller behavior and drive the company's strategies. We are also the end-to-end owners of incentive compensation processes and data which includes quota setting management, delivering timely and accurate pay-outs. The Machine Learning Data Scientist will collaborate with key stakeholders across Business Operations & Sales Excellence, Finance, Mint Engineering, Finance Data & Experiences (FD&E), Plan Design, analytics and the broader WWIC organization. This role will lead the development of an AI agent to centrally manage budget restatements and proactively identify opportunities for quota adjustments based on both role-specific and overall business performance and forecasts.

Responsibilities

• Collaborate with key stakeholders across various departments.
• Lead the development of an AI agent for budget restatements.
• Identify opportunities for quota adjustments based on performance and forecasts.
• Translate business context and requirements into quota modeling.
• Deploy machine learning models in Azure.
• Formulate creative solutions to complex problems.
• Communicate effectively with business partners.

Requirements

• Detail-oriented with strong attention to detail.
• Proficient in machine learning algorithms and statistical analysis.
• Experience in forecast modeling.
• Ability to work effectively in a large, cross-geography, cross-business virtual team environment.
• Strong written and verbal communication skills.