Data Science Associate
Lugano, Switzerland
Nielsen
A global leader in audience insights, data and analytics, Nielsen shapes the future of media with accurate measurement of what people listen to and watch.
Our business is centered on data, because it’s what our clients need to make confident decisions that shape the future of media. Our Data Science team delivers essential metrics and insights to brands around the world through new product ideation, experimental design and complex analysis.
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 focussed on data engineering tasks still inside the R&D process.
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 focussed on data engineering tasks still inside the R&D process.
Responsibilities:
- Participating, for data engineering 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 algorithms 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
Skills Desired:
- Knowledge about multivariate statistics (parametric/ non-parametric), trend analyses, sampling, automation
- Experience working on complex projects
- Experience with designing and validating measurement methodologies
- Master’s in statistics, economics, quantitative social sciences, operations research, or hard sciences
- Experience working with global cross-functional teams of various sizes
- Experience with big data technologies
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Big Data Computer Science Economics Engineering Mathematics Python R R&D Research Statistics
Perks/benefits: Competitive pay
Region:
Europe
Country:
Switzerland
Job stats:
24
5
0
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