About the Role

This outlines the responsibilities and qualifications for an AI / ML Data Scientist II role with a primary focus on designing, building, and deploying scalable machine learning systems, software engineering best practices, and the application of AI/ML principles within Machine Learning and Data Science contexts.

Audience is everything! Nielsen offers the worlds most complete measurement of media-viewing behavior. Our data scientists and ML engineers leverage the best data assets and modeling methods to build consistent and comparable metrics of the media landscape in multiple countries. We help the worlds biggest brands make better and faster media and marketing decisions. Qualifications

Responsibilities

- Implement, test, and optimize econometric, statistical, and Machine Learning (ML) models to enhance data accuracy and reporting.
- Identified the AI opportunities in existing and recent projects and implemented them.
- Quickly learn and become an expert in Audience Measurement and the associated digital meter technology for data collection.
- Design comprehensive ML workflows, develop reliable data pipelines (using Databricks/AWS S3), execute sophisticated model training and evaluation, and clearly summarize results.




- Identify, integrate, clean, and transform data from disparate and complex data sources to ensure high-quality inputs for ML models.
- Develop, share, and maintain efficient, well-documented, production-quality code following software engineering best practices.
- Proactively incorporate quality checks throughout the ML development lifecycle to detect and correct errors swiftly.
- Create simple, meaningful visualizations (e.g., using Tableau) to effectively support data analysis and clearly communicate insights and findings to stakeholders.
- Translate complex research findings into clear, data-driven recommendations that address business needs and drive product/technology improvements.
- Partner closely with department stakeholders (Engineering, Data Science, Product, Technology) to manage timelines, share data, execute tests, and present results.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 AI / ML Data Scientist II (Bengaluru)
🏢 Nielsen Sports
📍 Bengaluru