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
Our Benefits
- Flexible working environment
- Volunteer time off
- LinkedIn Learning
- Employee-Assistance-Program (EAP)
NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including résumé screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks that help streamline workflows. These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria. All use of AI is governed by NIQ’s principles of fairness, transparency, human oversight, and inclusion. Final hiring decisions are made exclusively by humans. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions, require accommodations, or wish to request human review were permitted by law, please contact your local HR representative. For more information, please visit NIQ’s AI Safety Policies and Guiding Principles: https://www.nielseniq.com/global/en/ai-safety-policies.
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
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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
Skills Required
- 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
- Solid understanding of FMCG Industry and RMS systems/products
- Experience in designing studies/sampling
- Domain expert knowledge of programming, statistical analysis / machine learning/deep learning, time series, sampling
- Experienced in Python programming, machine learning and large-scale databases
- Knowledge of geospatial data and techniques
- Familiar with git/Bitbucket processes
- Strong communication, presentation and collaboration skills
NielsenIQ Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NielsenIQ and has not been reviewed or approved by NielsenIQ.
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Parental & Family Support — Public materials highlight paid parental leave in the U.S., with additional paid disability time for birth parents. Parental leave is positioned as a standout element of the package.
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Leave & Time Off Breadth — Unlimited or flexible PTO is referenced alongside paid holidays and sick leave, providing broad time-off options in many roles. Actual use can vary by team norms, but the formal breadth is notable.
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Flexible Benefits — Work-from-home and hybrid arrangements are supported in many roles, with remote-friendly practices described across business lines. Flexibility is frequently positioned as a meaningful advantage.
NielsenIQ Insights
What We Do
NielsenIQ is the industry leader in global measurement and data analytics, and the most trusted source for retail and consumer intelligence. We deliver the complete truth to retailers, manufacturers, and our partners through our comprehensive data sets and powerful insights. We enable businesses to make critical decisions confidently, accelerating growth and optimizing performance.
Why Work With Us
We empower companies around the world to make bold decisions and transform their business with trusted data, solutions, and insights. Joining NielsenIQ means experiencing countless learning opportunities and gaining numerous pathways for growth.
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