Data Scientist at NielsenIQ

Changning District, Shanghai, China -

Full Time

Start Date

Immediate

Expiry Date

13 May, 26

Salary

0.0

Posted On

12 Feb, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analysis, Statistics, Modeling, Survey Design, Python, R, SQL, Automation, Trend Analysis, Data Aggregation, Variance Estimation, Indirect Estimation, Generalization, Technical Leadership, Team Player, Analytical Expertise

Industry

Software Development

Description

Company Description 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. Job Description Execute Retail Establishment Survey (RES) Design, RES Validation, Universe Estimation, Universe Update and Panel Sample Design, as per the plan and with no quality escapes Generate ideas, integrate data sources and design models for new method development Provide ideas, Innovate and automate processes and tools to bring efficiency and eliminate legacy challenges Learn and utilize the global tools to ensure standardization of process Engage and align with stakeholders on client queries and requirements of new estimates and designs Participate and contribute to the testing of tools and documentation of processes Contribute to product enhancement through various planned initiatives/ activities Develop expertise on the base product, the processes and tools Contribute to creating best practices for the country and sharing them with other GDDC centers Engage with SMEs on new methodology and new tools Be actively engaged and participate in engagement activities of the team Qualifications 1-3 years of work experience in the data analyzing position Domain expertise in at least one area: Demography, Sampling, Statistics Modeling, Survey Design Practices. Bachelor’s degree or above in Statistics, Operations Research, or Econometrics with outstanding analytical expertise and strong technical leadership Proficient in Python or R Knowledge of SQL and working with large-scale databases. Experience in some or all of statistical modeling, variance estimation, trend analyses, indirect estimation, data aggregation techniques, automation, generalization. Must be a team player Excellent skills in English speaking and writing Additional Information 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 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

Responsibilities

The Data Scientist will execute Retail Establishment Survey tasks, including design, validation, and estimation. They will also innovate and automate processes to enhance efficiency and contribute to product enhancements.