The Cross Category and Cross Channel Marketing (XCM) Insights team is looking for an analytical and technically skilled economist to join our team. This position will be responsible for developing and supporting best-in-class modeling methodologies and supporting techniques to answer ambiguous business questions. The Economist needs to be familiar with experimental design and experimental economics. The Economist needs to model variations related with advertising, perception, and customers’ shopping behavior. Upon completion of statistical analysis, the Economist draws insights and produces reports by translating technical framework to business-oriented recommendations.
This role requires an individual with excellent analytical abilities as well as outstanding business acumen. The successful candidate will be a self-starter comfortable with ambiguity, with strong attention to detail, vocally self-critical, an ability to work in a fast-paced and ever-changing environment. He/She recognizes that the true measure of the success of the work product is based on the business impact the findings have had.
· Develop econometric or machine learning models for ad hoc requests, projects and on-going measurements, and increasing efficiency by operationalizing data feeds from various data sources
· Use large datasets or experiments to make causal inferences or predictions
· Providing technical supports for designing and measuring randomized experiments
· Interpreting data, writing reports, and making actionable recommendations
· Keys to success in this role include exceptional analytics, statistics, judgment, and communication skills. The candidate will need to be able to extract insights from data and be able to clearly communicate appropriate triggers and actions
· PhD in Economics, Quantitative Marketing, Finance, or closely related field.
· 0-2 years of research experience working in statistical analysis
· Must have experience in Python, Stata, R and/or Scala.
· Superior verbal and written communication skills, ability to convey rigorous mathematical concepts and considerations to non-experts.
· Research experience in experimental design and experimental economics
· Knowledge in polling methodology and survey weights
· Experience modeling observational survey data
· Experience with modelling large individual-level datasets
· Experience of finding practical solutions for ambiguous and challenging business questions