Description
Basic qualifications:* M.A./M.S. in statistics, computer science, economics, applied mathematics, engineering, operations research or other quantitative decision sciences
* Experience of SAS (or similar) programming with demonstrated proficiency in procedures, macros and basic data manipulation.
* Experience developing mathematical portfolio optimisation models including experience with the Simplex algorithm
* Very comfortable with relational database structures (e.g. star schema) and ETL processes
* Professional experience with cleaning and staging "dirty" data sources
* Proven ability to work under tight timelines and prioritise among multiple projects
* Self-starter that can work effectively with limited management
* Commitment to quality with a high attention to detail
* Proficient with Microsoft Word, PowerPoint & Excel
Preferred qualifications:
* PHD in statistics, economics, applied mathematics or operations research
* A proven experience or professional experience in Consumer Health or Consumer Goods Companies
* In-depth knowledge of statistics (mixed modeling, logistical/categorical modeling, predictive models, SAS procedures: proc reg, proc logistic, proc probit, proc corr, proc ttest, proc anova etc.)
* Experience with Quasi Newton Methods, Approximation theory and Genetic Algorithms
For further details regarding this opportunity, please get in touch with Oliver Davies at Real Staffing on .