Technical Support Engineering IC6
Technology, Data & Digital · IT Infrastructure & Security · Technical Support · Data Science
In short
The Principal Technical Support Engineer will drive the resolution of complex technical issues and influence product development for customers leveraging Microsoft's AI technologies. This role requires a deep technical background, strong analytical skills, and the ability to advise executives and mentor other engineers.
Responsibilities
- Set long-term vision and standards for experimentation, causal inference, and machine learning.
- Drive complex, high-stakes analyses critical to strategic decisions.
- Architect scalable modeling and experimentation frameworks.
- Advise executives on measurement strategy and interpretation of results.
- Mentor senior data scientists and shape hiring and technical growth.
- Champion methodological excellence, reproducibility, and compelling data storytelling.
Requirements
- Bachelor's Degree in Computer Science, Information Technology, or related field AND 10+ years technical support, technical consulting experience, or information technology experience OR equivalent experience.
- Ability to meet Microsoft, customer and/or government security screening requirements, including U.S. citizenship verification via a valid passport due to legal restrictions supporting U.S. government customers.
Desired Qualifications
- Bachelor's Degree in Computer Science, Information Technology, or related field AND 15+ years of technical support, technical consulting experience, or information technology experience OR equivalent experience.
- Authority in causal inference, able to design novel identification strategies and adjudicate hard causal questions.
- Deep statistical mastery including inference, uncertainty, experimental design, and modern statistical methods.
- Expert ML skills including advanced modeling, validation, and production-grade deployment at scale.
- Deep experience evaluating LLMs and/or AI agents, defining evaluation strategy, novel benchmarks, and measurement standards for model and agent quality, safety, and reliability.
- Data storytelling skills, setting the bar for communicating insight through compelling data stories and enhanced visualizations in Python (e.g., matplotlib, seaborn, plotly) or other tools.
- Demonstrated influence on company strategy through causal and statistical work.
- Deep experience with causal ML tooling and large-scale experimentation platforms.
- Expert proficiency in Python or R and SQL.
Benefits
- Opportunity to accelerate career growth and become a technical leader.
- Hone deep technical expertise.
- Engage with executive-level customers and development teams.
#AI#Customer Support#Technical Support