Principal Data Scientist - Trip Projection

Job Description

We are seeking a Principal Data Scientist to help shape and activate innovative processes that redefine how we measure consumer shopping behavior. As an individual contributor within the Consumer Data Science team, you will serve as the Single Point of Contact (SPOC) for our latest measurement innovation.

In this role, you will collaborate closely with both in-market and global teams to ensure the successful rollout, stability, and continuous quality of our product. Your key responsibility will be to support developing and implementing methodological frameworks for market-specific initiatives - ensuring technical accuracy while driving scalable, reliable, and highly automated solutions, especially in the field of projection but also related fields.

Qualifications

You are a great fit for our team if you have knowledge of consumer behavior, panels in general, consumer metrics and analytics. Experience with data engineering, process optimization as well as any receipt capture methodologies will be of huge advantage. Strong stakeholder management and project management skills together with agile, solution-oriented ways of working and a high interest in decision making to bring our product forward are driving you. If you see yourself in the role, profound coding experience and technical skills combined with a flexible and innovative mindset are essential skills.

In detail we are looking for:

• University degree (Master or higher) in Statistics, Mathematics, Socioeconomics or other related fields

• With at least 3 or more years of experience in FMCG / Retail / Consumer Research or any related industry.

• Working knowledge of Python and optimally also R; esp. in the area of data extraction, data cleaning, root cause analysis and data visualization.

• Databricks and PySpark knowledge

• Experience with SQL, working with queries and large-scale databases

• Preferably, experience with building PowerBi reports, as well as with building Shiny Apps or corresponding interfaces in Python

• String data engineering and process optimization experience

• Strong aptitude for data analysis with basic knowledge of statistics, including the ability to manipulate, analyze and interpret large data sources.

• Basic knowledge of the European market including a location close to our Lisbon office

• Knowledge of/ Interest in consumers and their behaviors and any receipt collection methodologies.

• Excellent communication/writing and collaboration skills, strong analytical thinking, strong leadership skills

• A positive Say-Do ratio, as well as motivation to engage with the wider team are a general Must.

• Strong time management and coordination skills

• Project management experience including the skill to keep the end2end overview

• Ability to navigate through crisis and difficult interactions together with ability to solve problems.

Additional Information

Our Benefits

• Flexible working environment
• Volunteer time off
• LinkedIn Learning
• Employee-Assistance-Program (EAP)

About NIQ

NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population.

For more information, visit NIQ.com

Want to keep up with our latest updates?

Follow us on: LinkedIn | Instagram | Twitter | Facebook

Our commitment to Diversity, Equity, and Inclusion

At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence.  All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the https://nielseniq.com/global/en/news-center/diversity-inclusion