Senior Data Scientist

Company: WillWare Technologies

Role: Senior Data Scientist

Location: Bangalore

Work Mode: Onsite

Experience: 10+ Years

Job Description:

We are looking for a highly experienced Senior Data Scientist to join our team in Bangalore. If you have strong expertise in LLMs, Generative AI, Classical Machine Learning, and Azure, this opportunity is for you!

Key Skills Required:

• Large Language Models (LLMs)
• Classical Machine Learning (Supervised & Unsupervised Learning)
• Generative AI
• Python
• Microsoft Azure
• Azure Data Factory & Azure Data Foundry

Roles & Responsibilities:

• Design, develop, and deploy predictive models including forecasting, classification, regression, and segmentation
• Build and customize deep learning NLP models, multimodal models (text + vision), and contextaware AI solutions.
• Implement and tune custom loss functions, advanced quantitative methods, and highimpact ML algorithms.
• Deep knowledge of statistical modeling, experimentation, and advance data analysis.
• Conduct rigorous model validation, diagnostics, and performance monitoring.
• Perform complex statistical analyses and generate meaningful insights that influence business strategy.
• Work closely with product managers, engineering teams, and business leaders to define analytical requirements.
• Conduct A/B testing, causal inference, and optimization modeling (linear, mixedinteger, multiobjective).
• Translate ambiguous business needs into clear analytical frameworks and modeling approaches.
• Define and track KPIs and product metrics, supporting data driven prioritization and roadmaps.
• Exposure to agentic AI workflows leveraging LLMs, retrieval, tool use, and reasoning systems.

Required Skills:

• Strong proficiency in Python (Pandas, NumPy, Scikitlearn; TensorFlow/PyTorch preferred).
• Expertise in SQL, relational databases, data warehouses.
• Handson experience with Databricks, largescale analytics, and ML workflows.
• Deep knowledge of statistical modeling, experimentation, and causal analysis.
• Experience working with Azure cloud services.