Executive Data Science at NielsenIQ

Overview

• As the world's largest research organization, NielsenIQ is powered by talented creative scientists. Our Data Scientist associates come from diverse disciplines such as statistics, research methodology, mathematics, psychology, business, engineering, physics and demography. These professionals drive innovation, new product ideation, develops complex analysis and delivery of data insights to measure what consumers buy.

What You’ll Do

• Support Data Science solutions for client request and provide initial recommendation for complex client raised issues.
• Support Internal and External Clients with the understanding of Data Science design and methodology.
• Accompany senior leaders to meet with clients to understand business needs and help offer innovative solutions.
• Work on creating new solutions use cases, proof of concept and prototypes by exploring diverse data sets using tools such as Python / R.
• Understand NielsenIQ products and services to suggest to new solutions for client challenges.
• Collaborate with other Data Science team units.
• Automate and develop solutions for existing processes.
• Support or participate in Innovation initiatives to create out of the box solutions by leveraging large and diverse data sets and state of the art technologies.

Qualifications
Experience

• Professionals with degrees in Maths, Data Science, Statistics, or related fields involving statistical analysis of large data sets.
• 0–1-year experience in market research or relevant field.

Qualifications

• Soft skills.
• Passionate about innovation and technology
• Problem-Solving skills
• Ability to effectively convey complex concepts to non-experts
• Intellectual curiosity and persistence to find answers to questions
• Eager to continuously learn and adapt to changing technologies and tools.
• Good command of written and spoken English.
• Good collaborative and interpersonal skills to communicate at all levels. (Preferred)

Analytical and Technical skills:

• Solid understanding of Statistics.
• Strong aptitude for data analysis.
• Critical / logical thinking.
• Familiar with programming language such as Python/R.
• Familiar with contemporary database systems.

Optional Qualification

• Working knowledge with data visualization tools (e.g. Spotfire, Tableau, etc.) and mapping tools.
• Working knowledge with collaboration tools such as Google Suite(Google site, Google Data Studio), Atlassian, Git, Bitbucket and Confluence.
• Familiar with Machine Learning
• Familiar with marketing analytics, including designing experiment and consumer behavior analysis.