Job Description:
In this role, you will :-
Join Marketing Services Technology team to develop analytical frameworks and reliable measurement strategies for various products, services, and capabilities.
candidates with strong Python-based data science and machine learning experience, combined with hands-on exposure to modern AI/LLM frameworks and agentic AI development on Cloudera / Databricks.
Design, execute, and analyze complex business and user experiments
Partner with Product partners and other Data Engineers to set the vision and develop experimentation specifically focused on Profiling Engine, Advanced Segmentation Engine and Advanced Targeting.
Communicate key insights from analyses, experiments, and data products to stakeholders
Core Data Science & Analytics
Demonstrate strong expertise in data exploration, feature engineering, statistical modeling, and predictive analytics, with the ability to operationalize models in production environments.
Have deep proficiency in Python (preferred) and/or R, with experience using modern data science libraries such as NumPy, Pandas, Scikit-learn, and PyTorch or TensorFlow.
Be highly proficient in SQL and experienced in working with large-scale data warehouses and data pipelines.
Machine Learning & AI Engineering
Possess strong experience developing, evaluating, and deploying machine learning and deep learning models across the model lifecycle.
Experience building and deploying models using modern ML and MLOps practices, including experiment tracking, model versioning, CI/CD for ML, and monitoring.
Familiarity with cloud-based ML platforms (AWS preferred) and distributed data processing frameworks (e.g., Spark).
Generative AI & Agentic Systems
Hands-on experience with Large Language Models (LLMs) and Generative AI frameworks, including prompt engineering, retrieval-augmented generation (RAG), and model orchestration.
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