Senior Data Scientist

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Company Description

NielsenIQ is a consumer intelligence company that delivers the Full View, the world’s most complete and clear understanding of consumer buying behavior that reveals new pathways to growth. Since 1923, NIQ has moved measurement forward for industries and economies across the globe. We are putting the brightest and most dedicated minds together to accelerate progress. Our diversity brings out the best in each other so we can leave a lasting legacy on the work that we do and the people that we do it with. NielsenIQ offers a range of products and services that leverage Machine Learning and Artificial Intelligence to provide insights into consumer behavior and market trends. This position opens the opportunity to apply the latest state of the art in AI / ML and data science to global and key strategic projects.

Job Description

As a Senior Data Scientist, you will deliver analytics on top of unique data sets using a state-of-the-art tech stack. You will work in a stable agile team delivering small, incremental improvements through continuous delivery pipelines. You will advise internal and external clients in Media Measurement, translating requirements into analytical solutions. You will assess feasibility and productize work within our existing system landscape. You will collaborate with experienced Data Scientists and Engineers, sharing knowledge and learning from each other. You will be part of the Global Data Science community, comprising over 80 professionals across four countries, ready to challenge and be challenged by your skills.

Main responsibilities include :

• Owning Data Science solutions throughout their lifecycle (brainstorming, design, implementation, productization, maintenance)
• Developing solutions based on data science, statistics, and machine learning models
• Improving methods and tools, contributing to communities of practice
• Communicating complex concepts to diverse audiences in Tech, Operations, Commercial, and Product teams
• Understanding data strengths and weaknesses to optimize solutions
• Screening the market for new Data Science approaches
• Fostering knowledge exchange and presenting expertise at conferences and workshops

Qualifications

Typically, a Master’s degree or PhD with modeling and statistics skills and 6+ years of experience is required. You should enjoy communicating complex methodology to both technical and non-technical audiences. You must have expert statistical and machine learning modeling skills (e.g., statistical tests, classification, predictive modeling, handling missing data). Experience with Python or R and their ecosystems is necessary.

Preferred additional skills include :

Additional Information

Benefits include flexible working, volunteer time off, LinkedIn Learning, and Employee Assistance Program. NIQ is committed to diversity, equity, and inclusion, and is an equal opportunity employer.

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