Principal Data and Applied Scientist
Job Location:
Redmond, WA - USA
Yearly Salary:
Posted:
Application Deadline:
Vacancies:
Department:
Job Summary
With the rapid acceleration of AI and the need to deliver trustworthy high-performing models Microsofts Enterprise Engineering and AI (EEAI) Data Science and Applied AI team is driving innovation at scale! Our mission is to advance AI capabilities through rigorous evaluations fine-tuning and large-scale experimentation to create intelligent personalized experiences for customers worldwide. The EEAI Data Science and Applied AI team is seeking passionate AI practitioners and data scientists to join agile cross-functional teams working on cutting-edge model evaluation frameworks optimization pipelines and experimentation platforms that power Microsofts AI ecosystem.
We are looking for a Principal Data and Applied Scientist to join our team! As a member of the Enterprise Engineering and AI (EEAI) Data Science and Applied AI organization at Microsoft you will help us accelerate the companys own AI transformation. You will have the opportunity to partner directly with the engineering and product management groups responsible for managing the Dynamics 365 applications that power Microsofts sales marketing and support platforms. You will apply advanced analytics statistical modeling machine learning and GenAI tools to uncover insights drive action and deliver innovative solutions for complex business challenges.
This role offers the opportunity to:
Collaborate across a diverse team of data scientists engineers and product managers.
Deepen your expertise in the evolving AI and ML landscape.
Drive meaningful impact for thousands of Microsoft sales marketing and support platform users.
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.
Responsibilities
Work with key stakeholders to understand the underlying business needs and formulate the needs into discrete manageable problems with well-defined measurable objectives and outcomes.
Transform formulated problems into implementation plans by defining success metrics applying/creating the appropriate methods algorithms and tools as well as delivering statistically valid and reliable results.
Write robust reusable and extensible code to support analysis and modeling.
Develop new ML or GenAI based models using advanced statistical and ML techniques.
Lead the evaluation of various GenAI based solutions diagnosing issues and identifying root causes to support potential fine-tuning or reinforcement learning based fixes.
Use AI-powered tools in your daily work to accelerate coding analysis and other tasks.
Qualifications
Other Requirements
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.
Preferred Qualifications
Experience in Python PySpark and SQL.
Exposure to ML development platforms such as Azure Machine Learning Azure AI Foundry Azure OpenAI.
6 years of experience in data science product/journey analytics causal inference and user behavioral modeling.
Experience driving product improvements through data and insights.
Experience designing experiments defining standardized metrics performing causal analyses and delivering behavior-driven insights.
Experience with learning platforms and/or learner competency and skill modeling (e.g. proficiency mastery and skill signals).
Experience levering AI to deliver accelerate time to insight and depth of insights
Experience with large-scale enterprise data platforms (e.g. Fabric Synapse ADX Delta Lake ADF Databricks Snowflake).
Experience in ML development platforms such as Azure Machine Learning Azure AI Foundry Azure OpenAI.
Data Science IC5 - The typical base pay range for this role across the U.S. is USD $142800 - $274800 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 $188000 - $304200 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
