Microsoft's objective is to enable every individual and organization globally to realize their fullest potential by driving insights and innovation across technical communities and product ecosystems.
Requirements
- 5+ years of experience in data science, analytics, or machine learning.
- 3+ years of programming skills in Python, R, or equivalent.
- 3+ years proficiency in Structured Query Language (SQL) and experience with big data technologies (Spark, Azure Data Lake, Kusto, etc.).
- 3+ years experience with cloud-based analytics platforms (Azure, Synapse, Data Factory, etc.).
- 1+ year(s) experience with web analytics and telemetry data, along with familiarity with the Azure portal and Azure revenue, is preferred.
- Skills synthesizing complex problems into actionable insights and telling compelling stories using data.
- Experience with machine learning techniques and data modeling
Responsibilities
- Design and build efficient data pipelines to ingest and process large-scale telemetry with high reliability and low latency.
- Architect data models and systems that ensure data integrity, scalability, and responsiveness.
- Apply statistical and machine learning techniques to identify trends, forecast outcomes, and detect anomalies.
- Build predictive models and recommendation systems using advanced Machine Learning (ML) techniques.
- Partner with stakeholders to define and execute critical insights for business decision-making.
- Communicate complex findings clearly to technical and non-technical audiences.
- Foster strong relationships across engineering, product, and data science teams, while mentoring other data scientists and contributing to a culture of data-driven decision-making.
Other
- Ability to meet Microsoft, customer and/or government security screening requirements are required for this role.
- Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience
- Strong stakeholder management and communication skills.
- Growth mindset and passion for continuous learning.
- Ability to lead projects independently and influence cross-functional teams
