Data Science Associate

Lugano, Switzerland

Applications have closed

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.

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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.

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
What can we offer you as an employee of Nielsen Media In addition to a competitive salary and benefits we offer a varied area of responsibility as well as an open corporate culture with numerous development opportunities. Above all, our employees appreciate the ability to work independently in a motivated and very friendly team. Social responsibility, open communication and living our values can be found not only on our homepage, but also in everyday work. An informal atmosphere in a dynamic media company with opportunities for ownership and personal development. Diversity Here at Nielsen, we believe strongly in the value of diversity and creating supportive, inclusive environments where our colleagues can succeed. As such, Nielsen is proud to be an Equal Opportunity Employer. We welcome applications from people that are excited to work for us, regardless of their background - so please get in touch! Nielsen provides equal employment opportunities to applicants and employees without regard to any protected characteristics under local law. #LI-KS1

* 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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