Senior Data Scientist

With more than 45000 employees and partners worldwide the Customer Experience and Success (CE&S) organization is on a mission to empower customers to accelerate business value through differentiated customer experiences that leverage Microsofts products and services ignited by our people and culture. We drive cross-company alignment and execution ensuring that we consistently exceed customers expectations in every interaction whether in-product digital or human-centered. CE&S is responsible for all up services across the company including consulting customer success and support across Microsofts portfolio of solutions and products. Join CE&S and help us accelerate AI transformation for our customers and the world.

Microsofts mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset innovate to empower others and collaborate to realize our shared goals. Each day we build on our values of respect integrity and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

• 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.

Required Qualifications:
Bachelors 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 $106400 - $203600 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 $137600 - $222600 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
position will be open for a minimum of 5 days with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to 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. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process read more about requesting accommodations.

Required Experience:

IC