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Label Insight is part of the Brandbank division of NielsenIQ and plays a crucial part in how we digitise, enhance and distribute data to clients and the wider NielsenIQ business. To help achieve this, we work with open data ecosystems in the cloud. Our clients around the world rely on NielsenIQ’s data and insights to innovate and grow.  

As a Lead Data Scientist, you’ll be part of a team of smart, highly skilled technologists who are passionate about supporting and progressing leading edge solutions to meet our business requirements. You’ll help us continually advance our technology, applying data science and machine learning techniques to solve to novel business challenges. 

What you’ll do 

• Collaborate with software engineers, data scientists and a product managers to design, build, implement and maintain complicated data science and deep learning based systems (image processing, data extraction, data recognition, data prediction, suggestions, data optimization). 
• Work with engineering leadership to plan strategic technologies and solutions. 
• Work closely with operations and subject matter experts to optimize internal processes and/or build customer facing solutions. 
• Host solutions in cloud computing platforms (Amazon Web Services, Google Cloud Platform).
• Move rapidly towards strategic goals, our team pushes code over 50 times a day. 
• Assist push the department forward by introducing cutting edge technologies, teach other data scientist how to use them and building cutting edge solutions.  

We’re looking for people who have 

• 6+ years of relevant work experience in data analysis or related fields. (e.g., as a statistician / data scientist / computational biologist / bioinformatician / machine learning engineer). 
• Experience with statistical software (e.g., R, Python, Julia, MATLAB, pandas) and databases (e.g., MySQL, PostgeSQL, Graph Databases, NoSQL, DyanmoDB). 
• Relevant work experience building, designing and maintaining complex machine learning solutions (e.g., Optical Character Recognition, Computer Vision, Natural Language Processing, Named Entity Recognition,  Data Mining, Machine Intelligence) 
• Experience with deep learning techniques (CNN, RNN, LSTM, GAN, Gradient Descent, Auto-Encoders). 
• Experience with cloud computing and containerization (Docker, Google Cloud Platform, Amazon Web Services, Microsoft Azure, Heroku). 
• Experience mentoring junior data scientists. 
• BS degree in a quantitative discipline (e.g., statistics, operations research, bioinformatics, economics, computational biology, computer science, statistical engineering, mathematics, physics, electrical engineering, industrial engineering). 
• Any experience with nutritional science and the product marketing domain would be highly advantageous. 

#LI-SG

All your information will be kept confidential according to EEO guidelines.

Our Benefits

• Flexible working environment
• Health insurance
• Parental leave
• Life assurance

About NielsenIQ

NielsenIQ is a global measurement and data analytics company providing the most complete and trusted view of consumers and markets in 90 countries covering 90% of the world’s population. Focusing on consumer-packaged goods manufacturers and FMCG and retailers, we enable customers to defy what’s possible. How? We combine unparalleled datasets, pioneering technology, and the industry’s top talent to create insights that unlock innovation. Join us and change the landscape.

Learn more at: www.niq.com

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Our commitment to Diversity, Equity, and Inclusion

NielsenIQ is committed to reflecting the diversity of the clients, communities, and markets we measure within our own workforce. We exist to count everyone and are on a mission to systematically embed inclusion and diversity into all aspects of our workforce, measurement, and products. We enthusiastically invite candidates who share that mission to join us.

We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. Our global non-discrimination policy covers these protected classes in every market in which we do business worldwide.

Learn more about how we are driving diversity and inclusion in everything we do by visiting the NielsenIQ News Center: https://nielseniq.com/global/en/news-center/diversity-inclusion/