A Brand That's What's Now
Express is the sexy, sophisticated lifestyle fashion brand for every occasion: work, weekends, or nights on the town. Our brand is what's new and what's now for young fashion-forward men and women. We have more than 600 retail and outlet stores throughout the United States and Puerto Rico, as well as franchise stores in Latin America. We also have a best-in-class online/mobile shopping experience at www.express.com that allows our customers to shop whenever and wherever they like.
A Workplace To Match
We think you'll like it here.
We offer a competitive compensation and benefits package, generous associate discount, casual work environment, and the opportunity to connect and engage with some of the smartest, most passionate individuals in the fashion business. We're always looking for talented leaders at all levels to join our team; if this sounds like you, we'd love to chat!
The “Decision Science Analytics” team (reporting to Director, Complex Analytics) is responsible for providing high-quality analytical work in a fast-paced and fluid environment.
The team’s purpose is to deliver values by understanding the behaviors and needs of our customers, maximizing the return on marketing spend, and optimizing operational efficiency.
The team’s primary focus areas are predictive, prescriptive, and cognitive analytics, but we overlap with and enable descriptive and diagnostic analytics.
This team works cross-functionally across the entire business, as well as with outside vendors. The team’s analytic work encompasses testing and optimization, reporting, prediction, ad hoc projects, forecasting, and primary research.
Individuals on this team:
•Assist in defining the hypothesis;
•Access and synthesize the data;
•Conduct analysis and create algorithms based on decision science methodologies;
•Communicate the insights to business leaders;
•Share responsibility for implementation of findings.
Data Scientist Role
This particular individual will primarily be involved in projects that require decision science methodologies (such as statistical analysis, customer segmentations, store clustering, marketing channel attribution and mix optimization, recommendation engines, predictive and prescriptive modeling, etc.), and will also have responsibilities for:
•Being aware of new techniques and data attributes, and auditioning those on our database.
•Delivering and explaining advanced analytics insights to non-technical audiences.
•Investigating 3rd party supplemental data sets that complement our internally sourced data.
•Incorporating findings from analyses of unstructured data.
Predictive and Prescriptive Modeling – Creation of statistically valid models, detecting correlations among various factors in the business, and determining leading/lagging indicators.
Testing and Optimization – Assist in designing statistically valid tests and provide actionable reads of those tests.
Prediction and Forecasting – Provide high-confidence-level forecasts that allow the business to make informed decisions.
Ad Hoc Projects – Perform a variety of analytics to support the current state of the business and new initiatives.
-Master’s degree in Statistics, Computer Science, Economics, Engineering, Mathematics, or other quantitative disciplines.
-2+ years in an analytics, statistics, econometrics, or data scientist role
-Familiarity with statistical algorithms such as linear and logistic regression, decision trees, neural networks, etc.
-Usage of integrated development environment (IDE) to the text editor plus terminal combination for R and Python, such as R-Studio, PyCharm, etc.
-Familiar with Alteryx, Tableau, Omniture, etc.
-Familiar with Microsoft Office products.
-Problem solver and self-starter.
-Focused on results.
-Experience deploying above described algorithms on large datasets.
-Big Data tools such as Hive and Spark.