Data & Applied Scientist II at Microsoft

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

26 Feb, 26

Salary

0.0

Posted On

28 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, PySpark, SQL, Machine Learning, GenAI, Statistical Techniques, Predictive Analytics, Data Science, Azure Machine Learning, Azure AI Foundry, Azure OpenAI, Spark, Declarative Spark Code, SQL Maintenance, Cluster Optimization, Reinforcement Learning

Industry

Software Development

Description

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 and GenAI based models using advanced statistical, ML and LLM 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. Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research) OR equivalent experience. Expertise in Python , PySpark, and SQL, LLMs Exposure to ML development platforms such as Azure Machine Learning, Azure AI Foundry + Azure OpenAI Bachelor's degree in Machine Learning, 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 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). Expertise in ML development platforms such as Azure Machine Learning, Azure AI Foundry + Azure OpenAI 1+ year(s) experience creating publications (e.g., patents, peer-reviewed academic papers).

Responsibilities

Work with stakeholders to understand business needs and formulate them into manageable problems with measurable objectives. Develop and implement ML and GenAI models, ensuring robust coding and statistical validity in results.