The Job

Technical Support Engineering IC6

Technology, Data & Digital · IT Infrastructure & Security · Technical Support · Data Engineering · Software Engineering

Join for updates

In short

As a Principal Technical Support Engineer (IC6) at Microsoft, you will drive AI transformation for customers by resolving highly complex technical issues and influencing product development. This hybrid role requires a strong background in technical support, advanced statistics, machine learning, and causal inference, with expert proficiency in Python and SQL.

Responsibilities

  • Lead the design and analysis of large-scale experiments and observational studies, selecting the appropriate causal inference approach.
  • Develop and productionize advanced machine learning and causal models to drive strategic decisions.
  • Establish best practices for experimentation, statistical rigor, and model validation.
  • Influence metric definitions, measurement strategy, and roadmap through data-driven insights.
  • Mentor Associate data scientists and review analyses for methodological soundness.
  • Communicate complex results and trade-offs to senior stakeholders.

Requirements

  • Bachelor's Degree in Computer Science, Information Technology, or related field AND 10+ years of technical support, technical consulting, 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.

Desired Qualifications

  • Bachelor's Degree in Computer Science, Information Technology, or related field AND 15+ years of technical support, technical consulting, or information technology experience, OR equivalent experience.
  • Expert-level causal inference skills, including applying and critiquing experimental and observational methods.
  • Advanced statistics knowledge, including inference, uncertainty quantification, and Bayesian/frequentist approaches.
  • Strong ML expertise, including end-to-end modeling, robust validation, and production deployment.
  • Experience evaluating LLMs and/or AI agents, including building rigorous evaluation frameworks and measuring quality, safety, and reliability at scale.
  • Track record of leading impactful experimentation programs.
  • Experience with causal ML libraries (DoWhy, EconML, CausalML) at scale.
  • Demonstrated technical leadership and mentorship.
  • Data storytelling abilities, translating complex analyses into compelling data stories using Python (matplotlib, seaborn, plotly) or other tools.
  • Expert proficiency in Python or R and SQL.

Benefits

  • The typical base pay range for this role across the U.S. is USD $130,900 - $277,200 per year.
  • The base pay range for this role in the San Francisco Bay area and New York City metropolitan area is USD $165,600 - $303,600 per year.
  • Certain roles may be eligible for benefits and other compensation.
#Customer Experience#Customer Success#AI Transformation#Customer Service#Support Engineering#Technical Leadership#Experimentation#Machine Learning#Causal Inference
Microsoft Logo

Company

Microsoft

Job Posted

1 month ago

Employment Type

Full Time

WorkMode

Hybrid

Experience Level

Senior

Locations

United States

Qualification

Bachelor

Applicants

Be an early applicant