Senior Data Scientist at Microsoft

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

20 Feb, 26

Salary

0.0

Posted On

22 Nov, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Data Analysis, Feature Engineering, Model Evaluation, Statistical Modeling, Predictive Analytics, Experimentation Design, AI Tools, Big Data Technologies, Cloud Platforms, Responsible AI Development, Anomaly Detection, Recommendation Systems, Privacy Preserving ML/AI, Exploratory Data Analysis, LLM Models

Industry

Software Development

Description

- Conduct original research into the areas of forecasting, anomaly detection, recommendation systems as well as privacy preserving ML/AI and agentic AI. Disseminate the research findings by publishing in top conferences such as NeurIPS, AAAI, CVPR, ICML, ICLR, etc. - Build scalable machine learning modelsas part of the Commerce Platform that would act as the foundation for insights across the Commerce Platform. - Define the scientific vision for ML/AI in the commerce platform. - Partner with engineering and product teams to deliver business impact powered by ML Models, ensuring the models built are operable, scalable, extensible and performant. - Conduct exploratory data analysis, feature engineering, and model evaluation using structured and unstructured datasets. - Lead experimentation efforts to evaluate new features, forecasting, data quality, and anomaly detection systems. - Be a champion of responsible AI development and ensure the necessary guardrails are put in place to ensure fairness, accountability and transparency of AI/ML models - Build extensible solutions on LLM models to improve productivity of engineers across the commerce organization. - Bachelor's or Master's degree (PhD preferred) in Computer Science, Statistics, Mathematics, or related field . - 12 years of experience (for Bachelor's degree) in applied machine learning R&D or in allied areas such as statistics,andAI, 9 years for Masters or 5 years for PhD. - Top tier publications in ML - conferences such as NeurIPS, AAAI, ICML, ICLR, CVPR etc. - Experience with ML frameworks,cloud platforms (Azure preferred) and big data technologies. - Strong understanding of statistical modeling, predictive analytics, and experimentation design. - Demonstrated experience leveraging AI tools and technologies to enhance engineering effectiveness, coupled with a strong curiosity and commitment to continuous learning in the field of Artificial Intelligence.

Responsibilities

Conduct original research in forecasting, anomaly detection, and recommendation systems while building scalable machine learning models for the Commerce Platform. Partner with engineering and product teams to ensure the models are operable, scalable, and performant, while championing responsible AI development.