Microsoft is looking to transform existing apps with AI and lead their data strategy to inform product decisions, drive investment portfolio, and identify new growth areas for the Power Platform Core business.
Requirements
- Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
- Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
- Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
- 3+ years of experience in multiple roles including domain expertise in finance, product, support, customer experience, and Machine Learning.
- Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 8+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
- Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
- Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 12+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
Responsibilities
- Leverage data focused on developing product growth strategy, data informed product decisions, leveraging AI and creating self-service solutions for PM and SWE to leverage.
- Build predictive models, optimization algorithms, and causal inference frameworks to inform strategic decisions, customer and market insights along with product performance.
- Collaborate closely with engineering, product management, and business stakeholders to translate data insights into actionable outcomes.
- Develop scalable data pipelines and experimentation frameworks to support rapid iteration and learning.
- Ensure data integrity, privacy, and ethical use of AI across all initiatives.
- Demonstrate a product-driven growth mindset to define and drive the data science strategy for Power Platform Core, aligning with product and business goals.
- Lead cross-functional initiatives to leverage data for product innovation, customer insights, and operational excellence.
Other
- Demonstrate a product-driven growth mindset to define and drive the data science strategy for Power Platform Core, aligning with product and business goals.
- Leader will have a robust background in financial growth and analysis, data infused product decisions, customer experience and customer journey along with support decisioning.
- Mentor and grow a team of data scientists, fostering a culture of technical excellence and impact.
- Ability to meet Microsoft, customer and/or government security screening requirements are required for this role.
- Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.
