Utilize expertise in the foodservice industry, and analytics stack to appropriately ingest relevant data from multiple data sources and prepare for data modeling.
Apply advanced forecasting models on transactional, point of sales, survey, menu and industry data to predict revenue, growth etc. at various levels of the industry (country, market, company, unit, category)
Apply advanced machine learning techniques to drive strategic pricing analytics initiatives via price elasticity modeling, conjoint analysis, store tier development and segmentation.
Lead innovation efforts from a data science standpoint, develop prototype applications, design, validate data and models.
Collaborate with Products & Services, Product Development, Research & Insights, IT and 3rd party data vendors on productionizing innovation initiatives including guiding jr. data scientists, database developers and analysts on best practices for establishing new data and analytics processes.
Independently develop production grade code in SQL and R for advanced analytics projects. Implement code/models via APIs for Ignite platform.
Guide jr. data scientists and analysts on data modeling techniques, calibrating data for foodservice industry, code writing best practices, Technomics data and analytics stack.
Effectively communicate analytic findings to non-technical staff and clients in a simple to understand manner.
Qualifications
Bachelors degree in data science, Statistics, Mathematics, Engineering, Economics, Computer Science, or quantitative discipline plus 7 plus years of related professional experience OR Masters degree and 5 plus years of related professional experience
Strong attention to detail, as well as strong analytical and problem-solving skills.
Expert knowledge in price elasticity modeling and regressive techniques (log regressions, conjoint etc.)
Expert knowledge in data clustering techniques (k-mean, two-step, nearest neighbor, silhouette) and the ability to validate segments utilizing knowledge of the foodservice industry.
Expert level experience in SQL, R, Azure data studio, Synapse, Shin yapps, Tableau, Power BI, R APIs, Docker etc.
Commanding experience working with transactional, Point of sale, credit/debit card data.
Strong experience in Microsoft Excel (pivot tables, power pivots, x-lookup)
Strong understanding of the US foodservice industry from an operator, consumer, manufacturer and distributor perspective and the ability to transform and use the data as inputs to statistical models.
Proven ability to manage multiple projects with minimal supervision.
Demonstrated ability to learn new programming languages and tools with minimal guidance.
Employement Category:
Employement Type: Full timeIndustry: FMCG / F&BRole Category: Application Programming / MaintenanceFunctional Area: Not SpecifiedRole/Responsibilies: Data Scientist