Data Scientist

1w1 week ago

NielsenIQ

Barcelona, ES · Full-time · €55,000 – €80,000

About this role

NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior. Our Media Measurement team uses state-of-the-art technologies and rigorous methods to track who is watching what, where, and how they engage with content. Clients evaluate content consumption across media, platforms, and devices.

You will own several Data Science solutions with your team throughout the full life cycle, from brainstorming and design to implementation, productization, and maintenance. Develop solutions based on data science, stats, and machine learning models. Make data your best friends by understanding strengths and handling weaknesses.

Communicate with non-data scientists in Tech, Operations, Commercial, and Product to understand domain requirements. Improve methods and tools while contributing to communities of practice in Data Science. Foster knowledge exchange within the company.

Screen the market for potential new Data Science approaches. Present NIQ's Data Science expertise at conferences and workshops. Join a hybrid environment in a company with operations in 100+ markets covering over 90% of the world’s population.

Requirements

2+ years of relevant experience
Master's degree or PhD reflecting modeling and statistics skills
Ability to communicate complex methodology and technology to tech and non-tech audiences
Expert statistical and machine learning modeling skills including statistical tests, classification, predictive modelling, handling missing data, sampling, weighting
Experience with an analytical programming language (Python, R) and the respective ecosystem

Responsibilities

Own Data Science solutions with your team throughout the full life cycle including brainstorming, design, implementation, productization, and maintenance
Develop solutions based on data science, stats, and machine learning models
Improve methods and tools and contribute to communities of practice in Data Science
Communicate with non-data scientists in Tech, Operations, Commercial, Product and understand the domain and requirements
Understand data strengths and weaknesses and handle them in solutions
Screen the market for potential new Data Science approaches
Foster knowledge exchange within the company
Present Data Science expertise at conferences and workshops