The Worldwide Incentive Compensation (WWIC) team at Microsoft needs to design and implement variable incentive-based compensation plans for over 30,000 sellers, sales leaders, and consultants. The Senior Data Scientist - Machine Learning role is specifically tasked with leading the development of an AI agent to centrally manage budget restatements and proactively identify opportunities for quota adjustments based on performance and forecasts.
Requirements
- Hands-on experience with cloud platforms and tools such as Azure Synapse, Azure DataBricks, Azure Data Factory and Azure ML Studio, with a focus on developing and deploying AI models.
- Programming experience in Python, SQL Server, and Kusto, including understanding and maintaining scalable data pipelines and machine learning models.
- Experience to translating business requirements into data-driven solutions using ML algorithms (e.g., classification, regression, clustering, NLP etc.).
- Leverages knowledge of machine learning solutions (e.g., classification, regression, clustering, forecasting, NLP, image recognition, etc.) and individual algorithms to identify the best approach to complete objectives.
- Develops a strong understanding of the Microsoft toolset in artificial intelligence (AI) and machine learning (ML) (e.g., Azure Machine Learning, Azure Cognitive Services, Azure Databricks).
- Experience in quota modeling, incentive compensation, or sales analytics and forecast is a plus.
- 2+ year of experience in PowerBI reporting and SSAS is a plus
Responsibilities
- 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.
- Build data pipelines and reports for internal / external use
- Leverages knowledge of machine learning solutions (e.g., classification, regression, clustering, forecasting, NLP, image recognition, etc.) and individual algorithms to identify the best approach to complete objectives.
- Develops a strong understanding of the Microsoft toolset in artificial intelligence (AI) and machine learning (ML) (e.g., Azure Machine Learning, Azure Cognitive Services, Azure Databricks).
- Ensures clear linkage between selected models and desired business objectives.
- Formulates a roadmap of project activity that leads to measurable improvement in business performance metrics over time.
- Delivering timely and accurate pay-outs.
Other
- Demonstrate good business acumen, work with business partners to understand data and define and solve business problems and primary objectives.
- Effectively communicates with diverse audiences on data quality issues and initiatives.
- Collaborates with end customer and Microsoft internal cross-functional stakeholders to understand business needs.
- Applies a customer-oriented focus by understanding customer needs and perspectives, validating customer perspectives, and focusing on broader customer organization/context.
- Proven ability to work effectively in a large, cross-geography, cross-business virtual team environment.
