Senior Data Scientist - Predictive Analytics/Business Intelligence - P4

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.

About the job

Help our clients-internal and external-understand and use RMS services better by understanding their requirements, queries, and helping address the same through knowledge of data science and RMS.

Responsibilities

• Building knowledge of Nielsen suite of products and demonstrating the same
• Understanding client concerns
• Able to put forth ways and means of solving client concerns with supervision
• Automation and development of solutions for existing processes
• Taking initiative to understand concerns/problems in the RMS product and participating in product improvement initiatives

  
  About the job

  Help our clients-internal and external-understand and use RMS services better by understanding their requirements, queries, and helping address the same through knowledge of data science and RMS.

  
  Responsibilities

• Building knowledge of Nielsen suite of products and demonstrating the same
• Understanding client concerns
• Able to put forth ways and means of solving client concerns with supervision
• Automation and development of solutions for existing processes
• Taking initiative to understand concerns/problems in the RMS product and participating in product improvement initiatives

• Professionals with degrees in Maths, Data Science, Statistics, or related fields involving statistical analysis of large data sets
• 2-3 years of experience in market research or relevant field

Mindset and Approach to work:

• Embraces change, innovation and iterative processes in order to continuously improve the products value to clients.
• Continuously collaborate & support to improve the product.
• Active interest in arriving at collaboration and consensus in communication plans, deliverables and deadlines
• Plans and completes assignments independently within an established framework, breaking down complex tasks, making reasonable decisions. Work is reviewed for overall technical soundness.
• Participates in data experiments and PoCs, setting measurable goals, timelines and reproducible outcomes. Applies critical thinking and takes initiative.
• Continuously reviews the latest industry innovations and effectively applies them to their work
• Consistently challenges and analyzes data to ensure accuracy.

Functional Skills:

• Ability to manipulate, analyze and interpret large data sources
• Experienced in high-level programming languages (f.e. Python, R, SQL, Scala), as well as with data visualization tools (e.g. Power BI, Spotfire, Tableau, MicroStrategy)
• Able to work in virtual environment. Familiar with git/Bitbucket processes
• People with at least some experience in RMS, NIQ, will have an advantage
• Can use a logical reasoning process to break down and work through increasingly challenging situations or problems to arrive at positive outcomes.
• Identify and use data from various sources to influence decisions
• Interpret effectively the data in relation to business objectives

Soft Skills

• Ability to engage/communicate with team and extended team members
• Can adapt to change and new ideas or ways of working.

Exhibits emotional intelligence when partnering with internal and external stakeholders