Senior Science Analyst
SignalDemand provides predictive analytics and optimization for commodity based value chains. Through on-demand software and services, SignalDemand delivers real-time recommendations for complex price, mix, supply and purchasing decisions across products, customers, channels and suppliers. Using patented mathematical models to process thousands of variables, SignalDemand enables better day-to-day decision-making and increased profit margins.
SignalDemand provides predictive analytics and optimization for commodity based value chains. Through on-demand software and services, SignalDemand delivers real-time recommendations for complex price, supply and purchasing decisions across products, customers, channels and suppliers. Using patented mathematical models to process thousands of variables, SignalDemand enables better day-to-day decision-making and increased profit margins.
Position Overview
The Senior Science Analyst plays a critical role in the success of SignalDemand's customers. As a member of the science team, this person helps to construct and implement innovative mathematical models lying at the intersection of revenue management and supply chain optimization. He or she works closely with customers to understand business requirements, construct and analyze models, and communicate results.
Responsibilities
· Implement time series and optimization models for new customers. Help to understand early requirements, define data needs, create models, and analyze results. Interpret and articulate model results and benefits for customers.
· Assist the product management and engineering teams in translating business requirements to mathematics-based software.
· Support the sales team in communicating SignalDemand's science to potential customers and establishing the value of our software.
Minimum Requirements
· B.S. in Statistics, Operations Research, Mathematics, Physics, Economics, or a related quantitative field.
· Knowledge of probability and optimization theory, time series analysis.
· At least 2-3 years work experience using mathematical techniques to address business problems in an area such as pricing, finance, or supply chain.
· Strong communication skills and an ability to interact with customers.
· Ability to work independently in a startup environment.
Desirable Experience
· M.S. in Statistics, Operations Research, or a related quantitative field.
· Knowledge of segmentation/clustering analysis and data mining techniques.
· Familiarity with SQL databases (Oracle, SQLServer, DB2, etc.).
· Familiarity with analysis packages (R, MatLab, Mathematica, etc.).
· Familiarity with GAMS or AMPL.
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