Data Science Manager

NielsenIQ

22h•Hybrid

About The Position

Join our Consumer Market Leader specialized global team in the APAC region, in a flexible working environment. Help to educate our commercial associates and our clients in how to use our innovative Consumer products, from take home panels to receipt capture and beyond. Be a panel expert: understand end-to-end how we construct the best panels in the industry. Present and communicate findings and recommendations based on research and analysis. Evaluate current methodologies and identify opportunities for enhancement (input data cleaning, data preparation methodologies, data quality tracking, consumer projection). Support documentation of findings, methodologies, and best practices. Develop the prototypes of new solutions/methodologies to new market challenges. Support production deployment of proposed enhancements/new solutions. Identification of quality risks and follow up on solutions Engagement with stakeholders on scope, execution, data exchange and outcomes for assigned projects Expert-level analysis of results and presentations with insights Screen the market for potential new Data Science approaches Foster knowledge exchange within the company.

Requirements

Knowledge of consumer behavior, panel-based projections, consumer metrics and analytics and can clearly communicate methodologies and sample-based products simply.
The ability to work in teams and managing stakeholders is important.
Bachelor’s or Master’s Degree in Mathematics, Statistics, Socio-economics, Data Science or other related field with at least 2 or more years’ experience.
Knowledge of/ Interest in consumers and their behavior and (un-)managed consumer related crowdsourced panels
Experience working with Commercial functions and/or clients
Strong aptitude for data analysis.
Ability to manipulate, analyze and interpret large data sources.
Eager to continuously learn and adopt and develop evolving technologies and tools
Excellent communication/writing and collaboration skills.
Excellent statistical and logic skills.
Experience in data cleaning, outlier validation, sampling, bias reduction, indirect estimation, data aggregation techniques.

Nice To Haves

Experienced in Python or another high-level programming language and willingness to learn Python
Experienced with SQL, working with queries and large-scale databases
Experience/Interest in production level solutions prototyping

Responsibilities

Be a panel expert: understand end-to-end how we construct the best panels in the industry.
Present and communicate findings and recommendations based on research and analysis.
Evaluate current methodologies and identify opportunities for enhancement (input data cleaning, data preparation methodologies, data quality tracking, consumer projection).
Support documentation of findings, methodologies, and best practices.
Develop the prototypes of new solutions/methodologies to new market challenges.
Support production deployment of proposed enhancements/new solutions.
Identification of quality risks and follow up on solutions
Engagement with stakeholders on scope, execution, data exchange and outcomes for assigned projects
Expert-level analysis of results and presentations with insights
Screen the market for potential new Data Science approaches
Foster knowledge exchange within the company.