As a Senior Data Scientist, you will apply advanced analytical and modeling techniques to translate complex business challenges into data-driven solutions. This role requires expertise in data sourcing, exploratory analysis, and model development using programming languages such as Python. You will support the deployment and scalability of analytical models while collaborating cross-functionally to align insights with business objectives. The position demands a strong understanding of industry practices, data quality, and visualization to effectively communicate findings and drive informed decision-making within a energetic environment.
About The Team
The Catalog Data Science team focuses on enhancing product content quality to improve search accuracy and customer experience. By developing and deploying advanced AI models, including NLP and Generative AI, the team addresses challenges such as product classification, attribute enrichment, and content consistency. Their work supports global catalog health by ensuring precise product representation,
aiding sellers and suppliers in item setup and maintenance. The team leverages expertise in machine learning, deep learning, and ML Ops to deliver scalable AI solutions that drive measurable improvements in catalog performance and customer satisfaction.
What You'll Do
Translate complex business problems into data-driven solutions using advanced analytical and mathematical methods.
Identify and source relevant data sets, ensuring data quality and suitability for modeling purposes.
Develop, test, and validate custom analytical models leveraging machine learning, deep learning, and statistical techniques.
Collaborate with cross-functional teams to align data insights with business objectives and support decision-making.
Deploy scalable models into production environments, ensuring sustainability and performance monitoring.
Create clear data visualizations to communicate findings and influence stakeholders
📌 SENIOR, DATA SCIENTIST (Bengaluru)
🏢 Walmart Global Tech
📍 Bengaluru
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