Job Overview
Join Microsoft as a Data Scientist in Product Analytics, where you will collaborate with engineers and product managers to drive product growth for the Developer Division. Your role will involve extracting insights from data produced by our products and experiences, helping to inform product decisions and strategies.
Key Responsibilities
- Data Analysis and Modeling: Work with product managers and engineers to analyze telemetry data and user experiences. Construct product metrics and statistical models to identify growth opportunities.
- Tool Testing and Feedback: Test Microsoft’s data science tools and products, providing feedback to product and engineering teams.
- Data Acquisition and Reporting: Acquire necessary data for project plans, using querying, visualization, and reporting techniques to describe and analyze data.
- Model Evaluation: Understand modeling techniques, select appropriate tools and approaches, and evaluate outputs for statistical and business significance.
Qualifications
Required
- Doctorate or Master’s degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field with relevant experience.
- 1+ year(s) of customer-facing, project-delivery, professional services, or consulting experience.
Preferred
- Extensive experience in managing structured and unstructured data, applying statistical techniques, and reporting results.
Microsoft Culture
At Microsoft, we are committed to empowering every person and organization on the planet to achieve more. We foster a culture of inclusion, respect, integrity, and accountability, where everyone can thrive.
Additional Information
- Location: Remote
- Salary Range: €98,300 - €208,800 per year
- Workplace Type: Remote
- Experience Level: Mid to Senior
- Job Type: Full-time
Microsoft is an equal opportunity employer. We welcome applications from all qualified individuals regardless of age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations, and ordinances.
Benefits Extracted with AI
- Health insurance
- Paid vacation
- Retirement plans
- Professional development opportunities
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