Microsoft Data Scientist II 

United States, Washington 

146012678

Required Qualifications:

• Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field
  • OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) or consulting experience
  • OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 2+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience.
• 2+ years of experience coding in languages such as Python and/or R.
• 2+ years of experience with Business Intelligence reporting and tools such as PowerBI, etc.
• 1+ year of experience working with big data technologies like Azure Synapse, Azure Fabric, Databricks, Hadoop, etc.

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.

• Doctorate/Master's/Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or a related field AND 3+ year(s) of data-science/machine learning experience (e.g., managing structured and unstructured data, applying statistical techniques, and reporting results).
• Knowledge and/or experience in Generative AI.
• Experience developing machine learning models to automate manual analysis steps
• Experience handling large volumes of data (big data) and working with data warehouses.
• Experience building and deploying solutions with Azure or similar cloud service

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

Microsoft will accept applications for the role until January 20, 2025.

• Provide centralized data analysis across Microsoft’s AI products to improve visibility and understanding of our overall safety and security posture.
• Design and implement data pipelines and automated processes to cleanse, integrate and process large and diverse sets of AI service and security telemetry data.
• Create and maintain BI dashboards and reports to provide risk analysis and insights to leadership and cross-functional stakeholders.
• Influence strategic direction by tracking trends of abuse targets and techniques.
• Develop and deploy ML models to classify, analyze, and handle AI-generated content at scale
• Champion data-driven culture and decision-making for AI Safety and Security teams across the company.
• Collaborate with Incident Responders, Analysis, PMs, and Engineers to gather requirements and ensure project success and alignment.

Other

• Embody our and