Responsibilities
- Provide expertise on mathematical and statistical concepts for the analytics team and inspire the adoption of advanced analytics and data science across the entire breadth of our organization
- 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 deliverable
- Work with cross-functional team members to identify and prioritize actionable, high-impact insights across a variety of core business areas
- Lead applied analytics initiatives that are leveraged across the breadth of our business
- Research, design, implement and validate cutting-edge algorithms to analyze diverse sources of data to achieve targeted outcomes
Required Skills
- Expert on our organization’s data sets as well as other relevant industry and third-party data sets
- Must have a deep understanding of statistical and predictive modeling concepts, machine-learning approaches, clustering and classification techniques and recommendation and optimization algorithms
- Must have demonstrated ability to identify and explore new and existing data sets to find patterns and insights
- Must be an expert in analyzing large, complex, multi-dimensional datasets with a variety of tools
- Must be familiar with the use of statistical analysis environments such as R, SPSS or SAS and programming environments such as Python, SQL and relational databases
Required Experience
- 5+ years of experience solving complex analytical problems using quantitative approaches
- Must have worked in a company where it was necessary to map the business requirements to the analytics project
- Experience in an e-commerce/online business is a big plus. Your experience must include the ability to translate business challenges to algorithms and ultimately to data science solutions that can go into production
- Experience with unstructured data, especially in e-commerce environments is highly desirable
- Must have experience with visualization and BI tools such as Tableau
Educational Requirements
- MasterÕs Degree in operations research, applied statistics, data mining, machine learning, physics or a related quantitaties