The Staff Pad has partnered with a Florida-based fashion company founded in 1983 on Sanibel Island, Fla. The Company reinvented the fashion retail experience by creating fashion communities anchored by their Most Amazing Personal Service, which put the customer at the center of everything they do. With approximately 1,300 boutiques and outlets throughout the U.S., as well as an online presence for each of our brands, it takes sophisticated technology, resources and infrastructure to ensure the continued success of our businesses.
This position is responsible for planning and managing projects across all analytics areas – descriptive, predictive, prescriptive, and cognitive – as needed by the various business functions. It requires the application of consistent and rigorous statistical analysis, and the effective articulation of results to management and business analysts to support scientific decision-making.
Selecting features, building and optimizing classifiers using Big Data techniques.
Conduct data mining using state-of-the-art methods to drive optimization and improvement of marketing techniques and business strategies.
Work with peers to enhance data collection procedures to include information that is relevant for building analytic systems.
Create automated anomaly detection systems and constant tracking of performance.
Develop custom data models and algorithms to apply to data sets.
Build closed-loop algorithms to power scaled personalization within the digital experience.
Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
Work cross-functionally to gather insights which will improve marketing efforts.
Communicate results and ideas to key decision makers.
Assess the effectiveness and accuracy of new data sources and data gathering techniques.
Keep up-to-date with latest technology trends and how to best leverage machine learning, neural networks and other avenues to harness the power of the organizations vast data.
This position may be found in multiple departments.
Some duties may vary from department to department.
Bachelor’s degree preferred, in Statistics, Economics, Analytics, Engineering, Mathematics, Computer Science, Information Technology or related field preferred;
Master’s Degree a plus
5-7 years of experience manipulating data sets and building statistical models
Proficiency in R, Python, or both
Familiarity with SQL
Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Decision Trees, text mining, social network analysis, etc.
Experience in the retail industry a plus
Strong Microsoft Office skills
Certificate in business analytics, data mining, or statistical analysis preferred
If in Research/Personalization:
5+ years’ experience with consumer/customer quantitative research, consumer/customer qualitative research, or associate engagement research If in CRM:
5+ years’ experience with marketing campaign segmentation, targeting design, execution tools, framework.
Strategic mindset designing customer journeys and touch points.
If in CX/UX:
5+ years’ experience with digital experience analytics (Google, Omniture, etc.).
Ability to read/interpret web analytics to provide actionable strategic insights
If in Modeling/Data Science:
5+ years’ experience in analytics or data science - with an emphasis in customer analytics and marketing analytics; forecasting; structural equations, marketing ROI and attribution, building predictive models and multivariate techniques, working in environments with disparate data sources
If in Testing:
2+ years hypothesis testing experience;
2+ experience with testing toolset such as APT