About the Role

The Data & Applied Scientist II role at Microsoft involves applying advanced analytics, statistical modeling, machine learning, and GenAI tools to solve complex business challenges. The position focuses on collaborating with engineering and product teams to drive AI transformation and deliver innovative solutions for Microsoft's sales, marketing, and support platforms. Responsibilities include developing ML/GenAI models, evaluating AI solutions, and using AI-powered tools to accelerate tasks.

Key Responsibilities

• Work with stakeholders to formulate business needs into manageable problems with measurable objectives
• Transform problems into implementation plans using appropriate methods and tools to deliver valid results
• Write robust, reusable code to support analysis and modeling
• Develop new ML or GenAI models using advanced statistical and ML techniques
• Lead evaluation of GenAI solutions, diagnosing issues and identifying root causes for fixes

Required Skills & Qualifications

Must Have:

• Bachelor's degree in data science, mathematics, statistics, computer science, or related field with 5+ years experience, or Master's with 4+ years, or Doctorate with 3+ years
• Expertise in Python, PySpark, SQL, and LLMs
• Experience in Spark, ability to write/maintain declarative Spark code and clean SQL
• Ability to pass Microsoft Cloud background check upon hire and every two years

Nice to Have:

• Build and deploy end-to-end ML pipelines and GenAI solutions for batch and real-time use cases
• Apply MLOps and AIOps best practices including model versioning, experiment tracking, and CI/CD automation on cloud platforms
• Manage environment dependencies and containerization (Docker/Kubernetes) for reproducible deployments
• Exposure to ETL pipelining frameworks like Azure Data Factory or Apache Airflow
• Expertise in designing and implementing Generative AI pipelines (e.g., RAG systems, fine-tuning)

Benefits & Perks

• Industry leading healthcare