Senior data scientist

Key Responsibilities

Design, develop, and deploy scalable ML/AI models to solve complex business challenges across multiple domains.

Define, build, and evolve data models, analytical tools, and advanced data science capabilities.

Apply statistical methods and algorithms to extract insights, optimize strategies, and improve business outcomes.

Deliver solutions in areas such as:

Object Detection & Image Recognition

Natural Language Processing (NLP), Sentiment Analysis, Topic Modeling, Concept Extraction

Recommender Systems, Text Classification, Clustering

Customer Segmentation, Propensity & Churn Modeling, Lifetime Value Estimation

Forecasting, Marketing Mix & Price Optimization, Response Modeling

Generative AI and Large Language Models (LLMs)

Collaborate with stakeholders to translate complex findings into actionable business insights through clear visualizations and presentations.

Lead and mentor a team of data scientists; foster knowledge sharing and innovation.

Drive projects using agile methodologies, ensuring timely delivery of milestones.

Partner with cross-functional teams (onshore and offshore) to deliver impactful, production-ready solutions.

Skills & Experience

6+ years experience (3+ years as Data Scientist).

Strong Python skills (OOP, modular programming, APIs with Flask/FastAPI).

Expertise in ML algorithms & deep learning frameworks (TensorFlow, Keras, PyTorch).

Knowledge of Azure cloud, PySpark, and unit testing is a plus.

Strong communication, problem-solving, and project management skills.

Degree in Computer Science, Statistics, Math, or related field.