Data Science Executive

  • Full-time
  • Career Site Team: Operations

Job Description

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. You know what’s happening in big data and you’re ready to influence what’s next. 

Qualifications

  • Professionals with degrees (either Bachelor/Master) in Maths, Data Science, Statistics, or related fields involving statistical analysis of large data sets. 
  • 1 year of experience in market research or relevant fields, however, open for fresh graduate.  
  • 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 Microsoft Office (Word, Outlook, PowerPoint, Excel, Power BI) is preferred, Atlassian, Git, Bitbucket and Confluence would be additional advantage. 
  • Familiar with Machine Learning   
  • Familiarity with marketing analytics, including designing experiments and  consumer behavior analysis. 

Additional Information

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.

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