OverviewIn the Customer Service & Support (CSS) team, we are looking for a Data Scientist with a passion for leveraging advanced analytics, statistical methodologies, and machine learning to drive business outcomes. In this role, you will design experiments, develop predictive and analytical models, and generate actionable insights from complex datasets to inform decision-making. You will partner closely with engineering, product, and business stakeholders to identify opportunities, measure impact, and improve operational effectiveness through data-driven solutions. This opportunity will allow you to deepen your expertise in data science, artificial intelligence, experimentation, and advanced analytics while contributing to Microsoft's customer success mission.
Responsibilities- Design and analyze experiments, including A/B tests and observational studies, to measure business impact and support decision-making.
- Apply causal inference methodologies to evaluate outcomes and identify performance improvement opportunities.
- Develop, validate, and deploy machine learning models for prediction, classification, and analytical use cases.
- Apply statistical methods to quantify uncertainty, evaluate results, and ensure analytical rigor.
- Partner with engineering and business teams to define metrics, establish measurement frameworks, and improve data collection processes.
- Evaluate AI and LLM-based solutions using structured testing methodologies, performance metrics, and analytical frameworks.
- Communicate findings and recommendations through compelling visualizations, presentations, and data-driven storytelling.
- Drive adoption of advanced analytics, experimentation, and machine learning bestpractices across the organization.
QualificationsRequired Qualifications:
Bachelor's Degree in Computer Science, Information Technology (IT), or related field AND 5+ years of technical support, technical consulting, data science, analytics, or information technology experience
o OR 7+ years of years of technical support, technical consulting, data science, analytics, or information technology experience
o OR equivalent experience.
Additional Required Qualifications:
- Deep expertise in causal inference - experimental design and observational causal methods.
- Statistical foundation - hypothesis testing, regression, Bayesian and frequentist methods, uncertainty quantification.
- Solid machine learning skills - feature engineering, model selection, evaluation, and validation.
- Experience evaluating LLMs and/or AI agents - designing offline/online evaluations, defining quality metrics, and measuring model behavior.
- Data storytelling - crafting compelling data stories through enhanced visualizations in Python (e.g., matplotlib, seaborn, plotly) or other tools.
- Proficiency in Python or R and SQL.
Ability to meet Microsoft, customer and / or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire / transfer and every two years thereafter.
Technical Support Engineering IC5 - The typical base pay range for this role across the U.S. is USD $106,400 - $203,600 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $137,600 - $222,600 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
