India / India / KA / Bangalore /
#: 743999738672783 / 50245167
About the Job
You will work with a Data Science team dedicated to the development of E-Commerce products, a new way to measure how people shop online. We are looking for someone to improve our E-Commerce offerings in India and then eventually work on other E-Commerce initiatives in Asian markets.
You will serve as the key Data Science contact for Asian internal teams – in particular with: Client Service, Technology, Operations and Product Leadership. You will use your technical, mathematical and analytical skills to define and lead Global and regional innovation initiatives, methodology development, KPI development & implementation, standards and best practices.
Evaluate current E-Commerce Product methodologies to identify opportunities for enhancement
Deliver on methodology enhancements to E-Commerce products, improving overall quality from client perspective
Serve as Data Science’s chief point of contact for Asian eCommerce solutions. Present findings with stakeholders and support the resolution
Prototype as well as support pilot programs to drive innovation.
A Little About You
Ideally, you should have knowledge of consumer panel behavior, experience with unmanaged panels and developing strategies for improving panel engagement, improving data quality, and influencing panelists. You should have a passion for consumer sourced data!
Bachelor’s or Master’s Degree or Doctorate Degree with 3-5 years of experience in Consumer Insights/ Shopper Insights/ Data Analytics
Experienced in high-level programming languages (Python or R)
Knowledge in SQL, working with queries and large-scale databases
Hands-on experience working with insights around consumer transaction data/ POS data/ Shopper panels / Panel and Data management
Excellent statistical and logic skills. Experience in trend analysis, multivariate statistics (parametric/ non-parametric), sampling, bias reduction, indirect estimation, data aggregation techniques, data fusion, and model validation techniques
Experience implementing weighting and projection schema (e.g. RIM weighting) and clustering techniques (e.g. K-means, nearest-neighbour, random forests)
Strong communication and collaboration skills
Ability to effectively convey complex concepts to non-experts
Business acumen, the ability to link client's needs with the business
Ability to manage multiple projects simultaneously