Associate Data Scientist

About the job
As the world's largest research organization, Nielsen IQ is powered by talented creative scientists. Our Data Scientist Business Leaders 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.
Responsibilities
Own Data Science solutions for client requests and provide initial recommendations for complex client raised issues.
Support Internal and External Clients with the understanding of Data Science design and methodology.
Accompanied senior leaders 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 Nielsen products and services to suggest new solutions for client challenges.
Collaborate with other Data Science team units.
Automate and develop solutions for existing processes.
Innovate and create out of the box solutions by leveraging large and diverse data sets and state of the art technologies.
About you
You’ve dabbled in data. You’ve perused Python. And you have the communication chops to translate it all into conversation or presentations. While you’ve worked with global cross-functional teams, you can also put your head down and focus on independent projects. Seeing the big picture takes attention to detail. Keeping up with the fast-changing world of digital media measurement takes someone who recognizes that. You know what’s happening in big data and you’re ready to influence what’s next.
Qualifications
Professionals with degrees in Maths, Data Science, Statistics, or related fields involving statistical analysis of large data sets.
6months - 1 year of experience in market research or relevant fields.
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.
Working knowledge with data visualization tools (e.g. Spotfire, Tableau, etc) and mapping tools.
Working knowledge with collaboration tools such as Google Suite(Googlesite, Google Data Studio), Atlassian, Git, Bitbucket and Confluence.
Familiar with Machine Learning
Familiarity with marketing analytics, including designing experiments and consumer behavior analysis.

Employment type
Full-time

Work arrangement
No