Research, design, implement and validate cutting-edge algorithms to analyze diverse sources of data to achieve targeted outcomes.
Provide insight into leading analytic practices, design and lead iterative learning and development cycles, and ultimately produce new and creative analytic solutions that will become part of our core deliverables.
Provide expertise on mathematical concepts for the broader applied analytics team and inspire the adoption of advanced analytics and data science across the entire breadth of organization.
What you bring
Strong analytical and planning skills;
Good communication and presentation skills;
Excellent problem-solving skills;
Bachelor's degree in statistics, applied mathematics, or related discipline;
Proficiency with data mining, mathematics, and statistical analysis;
Experience with Excel, PowerPoint, Tableau, SQL, and programming languages (i.e., Hadoop, MapReduce or other big data frameworks, Java) and statistical modeling (SAS, R, and Phyton);
Experience with statistical analysis, quantitative analytics, forecasting/predictive analytics, multivariate testing and optimization algorithms;
Comfort working in a dynamic, research-oriented group with several ongoing concurrent projects.