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Data Scientist

Company:
EXPRESS
Location: Columbus, OH 43230
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Overview:
‘Express is a modern, versatile, dual-gender apparel and accessories brand that helps people get dressed for every day and any occasion. Launched in 1980 with the idea that style, quality and value should all be found in one place, Express has always been a brand of the now, offering some of the most important and enduring fashion trends. Express aims to create confidence and inspire self-expression through a design and merchandising view that brings forward the best of now for real-life versatility.’

In 2020, we launched a bold new strategy called the EXPRESSway Forward and our transformation is well underway. If you’re interested in the world of fashion retail and are ready to make your mark and cultivate your career, reach out and let’s talk. www.express.com

Responsibilities:
Team Summary

Express Decision Science & Analytics is responsible for providing high-quality analytical, predictive and machine learning models in a fast-paced and fluid environment.

The Team:

  • Purpose is to deliver values by understanding the behaviors and needs of our customers, maximizing the return on marketing spend, and optimizing operational efficiency in the areas including but not limited to merchandising allocation and inventory optimization.
  • Primary focus areas are predictive, prescriptive, and cognitive analytics, but we overlap with and enable descriptive and diagnostic analytics.
  • Works cross-functionally across the entire business, as well as with outside vendors.
  • Analytic work encompasses testing and optimization, prediction, visualization, 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 I
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.


% of Time Spent

Essential Tasks

40%

Data engineering and Predictive and Prescriptive Modeling – Creation of statistically valid models, detecting correlations among various factors in the business, and determining leading/lagging indicators.

20%

Testing and Optimization – Assist in designing statistically valid tests and provide actionable reads of those tests.

20%

Prediction and Forecasting – Provide high-confidence-level forecasts that allow the business to make informed decisions.

20%

Ad Hoc Projects – Perform a variety of analytics to support the current state of the business and new initiatives.

100%


Job Qualifications

  • Education: Bachelor's Degree or Advanced/Master's Degree in Computer Science, Software Engineering, Economics, Statistics, Applied Math, or other quantitative disciplines.
  • Years of Experience: 3 - 5 with a Bachelor’s Degree or 0 - 2 with a Master’s Degree in an open-source programming role in the context of predictive and prescriptive analytics, or decision science
  • Familiarity with statistical algorithms such as linear and logistic regression, decision trees, neural networks, random forests, gradient boosting, SVM, etc.
  • Familiarity with optimization methods such as Linear Programming, Discrete Event Simulation, Genetic Algorithm, Queuing Theory, Inventory Control models, etc
  • Experience deploying above described algorithms on large datasets.


Preferred Qualifications (skills and abilities)

Tools:
  • Strong experience with programming languages in various combinations: SQL, Python, R, SAS
  • Usage of integrated development environment (IDE) to the text editor plus terminal combination for R and Python, such as R-Studio, PyCharm, etc.
  • Hands-on experience with cloud computing, preferably Google Cloud Platform
  • Advanced expertise with Microsoft Office products.
Traits:
  • Problem solver and self-starter.
  • Conceptual thinker.
  • Focused on results.
  • Proficient communicator.
  • Manages ambiguity.
  • Highly accountable.
#JCL-1
Closing:
As an equal opportunity employer, Express does not discriminate in hiring or terms and conditions of employment on the basis of any federal, state, or locally protected class. Express only hires individuals authorized for employment in the United States.

Notification to Agencies: Please note that Express does not accept unsolicited resumes or calls from third-party recruiters or employment agencies. In the absence of a signed Master Service Agreement and approval from HR to submit resumes for a specific requisition, Express will not consider or approve payment to any third-parties for hires made.

*** Mention DataYoshi when applying ***

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