Vacancy description
Microsoft Corp
India, Bengaluru
Data Scientist (Python, ML, SQL) in Bengaluru, India is listed on Jobeax. Browse 30,000+ vacancies available.
Microsoft is a company where passionate innovators come to collaborate, envision what can be and take their careers to levels they cannot achieve anywhere else. This is a world of more possibilities, more innovation, more openness in a cloud-enabled https://jobeax.com/link/449TDzoqXnB1pgaI is Microsoft's unified commercial organization that brings together sales, partners, industry, and customer success teams to drive business impact at scale. It is designed to accelerate customer outcomes through AI-powered solutions, strategic partnerships, and deep industry expertise. Microsoft is considered one of the leaders in Software as a Service in the world of business applications and this organization is at the heart of how business applications are designed and delivered.
We are looking for a Data & Applied Scientist II to join our team!As a member of the Customer Experience Data Science organization at Microsoft, you will help us accelerate the company's 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 Microsoft's 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.
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. 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.
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.
Use AI-powered tools in your daily work to accelerate coding, analysis, and other tasks.
Bachelor's degree in data science, Mathematics, Statistics, Computer Science, or related field AND 5+ years related experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
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. 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
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. Microsoft Cloud Background Check:
~ This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
Build and deploy end-to-end ML pipelines and GenAI solutions for both batch and real-time use cases, ensuring scalability and reliability.
Apply 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., 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
Microsoft is an equal opportunity employer. Consistent with applicable law, 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 and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
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