Who you are

You’re an innovator; you share our common interest in improving and scaling our existing architecture and systems. Your excellent communication skills are key when collaborating closely with Product, internal customers, and other engineers and data scientists to determine the best way to build products that meet their needs. You’re hungry for growth and with our Data Science Ladder you can visualize your career path. We are quality driven and you must be too. We expect that you’ll get involved and stay informed with the latest trends in technology and experiment with how to apply those to help consumers make more educated and healthier decisions.

Even if you don’t check all the criteria boxes, we encourage you to apply. We’re looking for people with diverse backgrounds, exceptional potential and a passion for their craft.

What you’ll do

• Being on an embedded agile team made up of several engineers, data scientists and a product manager working together 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)
• Working 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
• 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

• BS or MS degree in a quantitative discipline (e.g., statistics, operations research, bioinformatics, economics, computational biology, computer science, statistical engineering, mathematics, physics, electrical engineering, industrial engineering).
• 3-5 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).
• Experience with deep learning techniques (CNN, RNN, LSTM, GAN, Gradient Descent, Auto-Encoders)
• 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)
• Knowledge of graph database technologies, such as Neo4J or some experience with data classification, taxonomy building, and/or metadata schemas
• Experience with cloud computing and containerization (Docker, Google Cloud Platform, Amazon Web Services, Microsoft Azure, Heroku)
• Demonstrated skills in selecting the right statistical tools given a data analysis problem.
• Demonstrated effective written and verbal communication skills.
• Demonstrated willingness to teach others and learn new techniques.

We Share a Common Purpose

Label Insight a NielsenIQ Company’s purpose is to empower consumers with the knowledge to improve their lives through better product choices. Our purpose keeps our team focused and aligned as we drive growth for our grocery retailer and CPG customers through unparalleled transparency.

All your information will be kept confidential according to EEO guidelines. #LI-AK3

About NielsenIQ 

NielsenIQ is a global measurement and data analytics company that provides the most complete and trusted view available of consumers and markets worldwide. We provide consumer packaged goods manufacturers/fast-moving consumer goods and retailers with accurate, actionable information and insights and a complete picture of the complex and changing marketplace that companies need to innovate and grow. Our approach marries proprietary NielsenIQ data with other data sources to help clients around the world understand what’s happening now, what’s happening next, and how to best act on this knowledge.  We like to be in the middle of the action. That’s why you can find us at work in over 90 countries, covering more than 90% of the world’s population. For more information, visit www.niq.com.

NielsenIQ is committed to hiring and retaining a diverse workforce. 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.