Microsoft Customer and Partner Solutions (MCAPS) AI Transformation (AIT) is focused on making sure sellers, customers, and partners are AI enabled to drive scale and efficiency with prioritized solution plays aligned with Microsoft Customer Engagement Methodology (MCEM), regionalized marketing, and operational centers of excellence.
Requirements
- 3+ years experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping.
- 3+ years of experience with programming in Python, PySpark
- 3+ years big data systems for ad hoc query and data preparation
- Experience developing Apps, scorecards and reports using similar to PowerBI, PowerApps, Tableau and Flow
- Interpersonal communication and presentation skills (leverage the data to tell a story)
- Collaboration and Program Management skills
Responsibilities
- Frames broad or ambiguous questions into discrete, manageable problems with well-defined, measurable objectives.
- Identifies data sources, integrates multiple sources or types of data, and applies expertise within a data source in order to develop methods to compensate for limitations and extend the applicability of the data.
- Applies (or develops if necessary) tools and pipelines to efficiently collect, clean, and prepare massive volumes of data for analysis.
- Transforms formulated problems into implementation plans for experiments by applying (and creating when necessary) the appropriate methods, algorithms, and tools, and statistically validating the results against biases and errors.
- Influences stakeholders to make product/service improvements that yield customer/business value by effectively making compelling cases through story-telling, visualizations, and other influencing tools.
- Develops foundational knowledge and methods to address key (or previously unidentified) problem areas, and uses the appropriate channels to evangelize them with the broader Microsoft community.
Other
- Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)
- Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research)
- Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
- Equivalent experience
