Data Science M5
2 weeks ago
Overview:
- Do you want to be on the leading edge of using big data and help drive engineering and product decisions for the biggest productivity software in the planet? Office Experience Organization (OXO) has embarked on a mission to delight our customers by using data informed engineering to develop compelling products and services. The FUEL team in OXO is looking for an experienced professional with a passion for delivering business value with data insights and analytics to join our team as a Program Manager.
Our core mission is keeping customers "healthy" - this involves not only driving performance and coordinating tenant-centric health efforts across OXO, but also ensuring our customers are on the latest, fastest, most productive, and best versions of the incredible apps that make up Office.
To fulfill this mission, we are looking for an individual who joins us to drive and deliver core Performance improvements constantly, across the suite, leading to delightful experiences for all users.
Responsibilities:
- Identifies data sources, integrates multiple sources or types of data, and develops expertise with multiple data sources to tell a story and to compensate for missing data, identify new patterns and business opportunities, and communicate visually and verbally with clear and compelling datadriven stories.
- Interprets results and develops insights into formulated problems within the business/customer context and provides guidance on risks and limitations.
- Validates, monitors, and drives continuous improvement to methods, and proposes enhancements to data sources that improve usability and results.
Qualifications:
- Experience that spans the full software/service delivery lifecycle
- SW engineering, Program Management and Data Science/Engineering.
- 5+ years of experience shipping services
- The Team player with proven ability to build trusted relationships.
- Demonstrated ability to work efficiently, prioritize workflow, and meet demanding deadlines.
- Bachelors or higher degrees in Computer Science, Statistics, Mathematics, Physics, Engineering, or related disciplines.
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