AI / ML Data Scientist II
Nielsen (company site, opens in a new tab)BengaluruOn-siteDirect career pageEst. 15–28 LPA
Posted 3h ago
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Job description
Structured overview of role & requirements
About This Role
- Design, build, and deploy scalable machine learning systems and workflows, including data pipelines and model training/evaluation using tools like Databricks and AWS S3.
- Implement, test, and optimize econometric, statistical, and ML models to improve data accuracy and reporting for audience measurement.
- Collaborate with stakeholders across departments to manage project timelines, share data, execute tests, and communicate findings effectively through visualizations and recommendations.
Minimum Requirements
- Experience implementing and optimizing econometric, statistical, and ML models in production environments.
- Proficiency with data engineering tools such as Databricks and AWS S3 for building data pipelines.
- Ability to produce well-documented, production-quality code following software engineering best practices.
- Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced in applying AI/ML techniques specifically within media audience measurement or related data-rich environments.
- Strong capability in managing end-to-end ML workflows including data integration, model development, evaluation, and deployment.
- Effective at translating complex data science results into actionable business insights, working cross-functionally with technical and non-technical teams.