Lead Data Scientist

About the job

You will work with a global team dedicated to the development of new methodologies for Retail Establishment Survey & other data collection processes. We are looking for someone in our methods team to be part of these transformational initiatives to improve quality and redefine the process of RES design and Universe Estimation leveraging advanced technologies, integration of data sources, Machine Learning techniques, statistical and data analytical skills.You should have a passion for innovation, Research & Development and challenging data opportunities!

Responsibilities

• Own & lead evaluating & improvising the methodologies developed to improve quality of RES Designs and transforming Universe Estimation process involving Machine Learning & Statistical techniques
• Research new methodologies, research directions and quantify their improvement
• Deliver methodological enhancements improving overall quality & process efficiencies
• Work closely with different teams such as technology, other Data Science teams, internal stakeholders during development & deployment of new methodologies
• Prototype as well as support pilot programs to drive innovation
• Owns and maintains Data Science global methodologies and ensures they are well documented and understood
• Asks questions to engage & motivate team on seeking further understanding of data
• Reviews the progress of projects and POCs and proposes improvements and constructive critiques
  

Qualifications

• Master’s / Doctorate Degree in Data Science, Mathematics, Statistics or Engineering degree in Computer Science, Data Science or related fields involving statistical analysis of large data sets
• At least 5 years’ of relevant experience
• Exhibits a solid understanding of FMCG Industry for specific core process and Advanced knowledge of RMS systems/products
• Experience in designing studies/sampling
• Comfortable designing solutions and supporting a team to execute
• Displays innovative thinking, data analytical skills, application of statistical techniques and encourages. experimentation in delivery of work
• Can support others to understand and apply more complicated technical principles & methodologies, creating clarity and focus for teams to deliver
• Domain expert knowledge of the following: programming, statistical analysis / machine learning/deep learning, time series, sampling
• Experienced in Python programming, machine learning and working with queries and large-scale databases
• Preferable knowledge of geospatial data and techniques
• Able to work in virtual environment and familiar with git/Bitbucket processes
• Drive to continuously learn and adopt new technologies and tools
• Strong communication, presentation and collaboration skills
  

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.comWant to keep up with our latest updates?Follow us on: LinkedIn | Instagram | Twitter | Facebook

Our commitment to Diversity, Equity, and Inclusion

NIQ is committed to reflecting the diversity of the clients, communities, and markets we measure within our own workforce. We exist to count everyone and are on a mission to systematically embed inclusion and diversity into all aspects of our workforce, measurement, and products. We enthusiastically invite candidates who share that mission to join us. 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. Our global non-discrimination policy covers these protected classes in every market in which we do business worldwide. Learn more about how we are driving diversity and inclusion in everything we do by visiting the NIQ News Center: https://nielseniq.com/global/en/news-center/diversity-inclusion