Data Scientist (MLE/DAT)
Job Summary
Job Description
The International R&D team within Nielsen's Audience Measurement organization seeks a Data Scientist (MLE/DAT) to focus on data engineering tasks within the R&D process. Responsibilities include participating in the development, testing, and refinement of data models using various data types (e.g., imputation, data correction); setting up processes for new algorithms; collaborating with cross-functional teams to design, implement, and test audience measurement methodologies; and documenting new methodologies and best practices. The ideal candidate is detail-oriented, experienced in data modeling research, and enjoys a fast-paced environment. The role involves working with multiple data sources and contributing to the enhancement of Nielsen's successful products in digital advertising and content measurement.
Must have:
- Data modeling research experience
- Proficiency in Python (machine learning context)
- Excellent communication skills
- Problem-solving and independent work abilities
3 skills required
Job Details
About the Role
The International R&D team within Data Science’s Audience Measurement organization focuses on applying and enhancing Nielsen’s highly successful products out in the marketplace for digital advertising and content measurement. In addition to defining and designing product methodologies, Measurement Scientists also design research studies to support and validate innovative measurement solutions, and lead the development and maintenance of new models to integrate different data sources This position will more focused on data engineering tasks still inside the R&D process
Responsibilities
- Participating, for data eng related task, into development, test, and refinement of data models using multiple types of data for various purposes such as imputation and data correction
- Participating into processes set-up for new algo according to methodologies specific goals Work with cross-functional teams to design, implement and test new audience measurement methodologies
- Document new methodologies and best practices
- Stay informed of new research and developments in the field
Skills Required
- This position requires a detail-oriented person who preferably has experience in data modeling research and who enjoys working in a fast-paced environment.
- Ability to problem-solve, work independently, and see the big picture are keys to success in this position.
- University degree in Statistics, Computer Science, Applied Mathematics, Engineering, or equivalent demonstrated experience
- Solid experience with Python or similar languages, preferably in machine learnings context
- Good communication skills (written and verbal)Proficiency in English, both written and spoken
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