Manager, Data Science at NielsenIQ

Shanghai, Shanghai, China -

Full Time

Start Date

Immediate

Expiry Date

16 Jun, 26

Salary

0.0

Posted On

18 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Research, Development, Retail Compass, Advanced Analytics, Statistical Models, Large-scale Datasets, Data Visualization, Statistical Analysis, Algorithm Testing, Project Management, Python, SQL, Machine Learning, Data Mining, LLM

Industry

Software Development

Description

Job Description Scope of Work Support product and commercial teams in their business needs, with a strong focus on driving research, development, and enhancement of internal products—especially the Retail Compass solution. To perform the development of advanced analytics and statistical models to support functional and industry applications Analyze large-scale datasets collected by NIQ A&A teams to discover trends, insights, and deeper opportunities for further research. Help product and commercial teams understand data products and the methodologies behind them. Collaborate with clients to explain ongoing research and help them understand NIQ data clearly. Build clear insights through data visualization or statistical analysis. Continuously test new algorithms and workflows to evaluate accuracy and efficiency. Key Responsibilities Conduct research activities to support updating, improving, and developing new algorithms, especially for the Retail Compass product. Independently design and build analytical models. Write scripts for data processing, cleaning, analysis, and modeling. Produce statistical and visualization outputs. Manage projects independently, including project design, execution, and modeling work delivery; supervise the work quality of junior analysts. Support commercial team to translate model results into clear commercial insights to meet clients’ needs. Collaborate with product and commercial teams to ensure alignment with retail analytics methodology. Partner with teams to enhance data products. Qualifications E = Essential, P = Preferred - E – Bachelor’s degree or above in Statistics, Mathematics, Analytical Marketing, or related fields and at least 5 years statistic modeling working experiences - E – Experience with machine learning or data mining; familiarity with algorithms like decision trees, random forests, and logistic regression. - E – Proficient in Python, SQL and common database operations. - E – Understanding data processing and analytical methods. - E – Experience with LLM-related projects and applications. - P – Experience with large datasets and distributed computing tools (Map/Reduce, Hadoop, Hive); Spark/PySpark experience preferred. - P – Internet product development, e-commerce data, or geolocation data experience. - P – Strong analytical skills with the ability to identify and solve issues. - P – Strong communication, teamwork, and ability to work under pressure. - P – Experience using Arcgis or QGIS is preferred. - P – Experience using VBA, Visualization tool (e.g. Power BI) would be a plus. Values & Behaviors - Openness: Embrace new technologies; open to changes; perform root cause analysis. - Social: Manage stakeholders; communicate clearly; enjoy teamwork. - Integrity: Analyze data honestly; express uncertainty when needed; work independently. - Creativity: Try new things, embrace failure, and love learning new technologies. 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 role involves supporting product and commercial teams by driving research, development, and enhancement of internal products, particularly the Retail Compass solution, through advanced analytics and statistical modeling. Key duties include conducting research for algorithm improvement, independently designing and building analytical models, writing processing scripts, and translating model results into clear commercial insights for clients.