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.
QualificationsRequired/minimum qualificationsDoctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
OR equivalent experience.
Other RequirementsAbility 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 $142,800 - $274,800 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 $188,000 - $304,200 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.
