Data & Applied Scientist Ii

**Data & Applied Scientist II**:
Bangalore, Karnataka, India- Date posted- ** Oct 30, 2025**- Job number- ** 1901944**- Work site- ** 2 days / week in-office**- Travel- ** 25-50**%**- Role type- ** Individual Contributor**- Profession- ** Research, Applied, & Data Sciences**- Discipline- ** Data Science**- Employment type- ** Full-Time**
- **Overview**:
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- Microsoft’s 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.
- **Qualifications**:

- **Required/**Minimum** Qualifications (**_From Role Library, plus any other HM-determined qualifications)_** OR master’s degree in data science, Mathematics, Statistics, Computer Science, or related field AND 4+ year(s) related experience-
- OR Doctorate in Data Science, Mathematics, Statistics, Computer Science, or related field AND 3+ year(s) related experience-
- Expertise in Python, PySpark, and SQL, LLMs-
- Experience in Spark and ability to write/maintain/understand declarative Spark code and to cleanly write and maintain SQL. Knowledge of finer operational aspects of Spark such as setting optimal cluster size, executor memory, number of executors etc. and experience in Azure Synapse/Databricks (or similar) is a bonus.-
- Exposure to ML development platforms such as Azure Machine Learning, Azure AI Foundry + Azure OpenAI- **
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/Additional Qualifications (Optional, at HM discretion)**- Build and deploy end-to-end ML pipelines and GenAI solutions for both batch and real-time use cases, ensuring scalability and reliability.-
- MLOps and AIOps best practices including model versioning, prompt versioning, experiment tracking, environment management, and understanding of CI/CD automation on cloud platforms (AWS, Azure, GCP).-
- Manage environment dependencies and containerization (Docker/Kubernetes) for reproducible, scalable deployments in any of the cloud platforms (AWS, Azure, GCP etc.).-
- Exposure to some ETL pipelining frameworks such as Azure Data factory, Apache Airflow etc.-
- Expertise in designing and implementing Generative AI pipelines (e.g., RAG systems, domain/task-specific finetuning)-
- Experience in managing codebases in Git, creating release pipelines on CI/CD frameworks like Azure DevOps, Jenkins etc. along with creating/managing Python deployment scripts- **
Responsibilities**:

- 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.- Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.- 

Industry leading healthcare- 

Educational resources- 

Discounts on products and services- 

Savings and investments- 

Maternity and paternity leave- 

Generous time away- 

Giving programs- 

Opportunities to network and connect