Job Description

Were looking for an innovative, creative data & technical expert with advanced knowledge in statistical modeling. This role reports into the Manager of the Data Science Team, who leads a team of highly motivated Data Scientists and Senior Data Scientists. The team utilizes an advanced in-house data science environment.

Current projects utilize recommender models, boosted tree based models, time series forecasting, and deep learning models to mention a few. This is a great opportunity to be a practitioner as well as mentor and lead Data Scientists on a truly exceptional team in this exciting and ever growing field to shape and create the best shopping and brand experience for Dillards customers.

To apply, please submit a PDF of your resume and a PDF of your cover letter answering the following questions.

1. Tell us why youre interested in this position. What are you looking for in a career move?
2. Give us your elevator pitch! Why are you a good fit for this position? What skills and abilities do you have that you feel make you qualified?
3. We want to ensure were on the same page when it comes to compensation. What is your salary expectation (amount required to move forward with your application)? Is it negotiable?
4. Our team works in our corporate office in Little Rock, AR. Are you local? If not, are you willing to relocate?

ROLES & RESPONSIBILITIES

Work with Data Science Team and additional analysts within the organization to drive, shape and direct the practice of Data Science at Dillards
Mentor/guide/lead Data Scientists in the design and execution of their specific analytic tasks
Work with Marketing, Merchandising, eCommerce, Supply Chain, and Operations areas to analyze current business trends, problems, and strategies to help provide actionable insights for the business including but not limited to data visualizations, product recommendation using deep learning and recommender models, predicting customer behavior using boosted tree models, forecasting demand using time series models
Identify and source data needed to build analytic datasets in support of analysis and modeling activities
Define metrics that will be used to measure and understand existing and new business processes
Work directly with multiple levels of management to present results and recommendations from analysis

REQUIRED SKILLS

Authorization to work in the United States without sponsorship
Ability to work onsite at Corporate Headquarters in Little Rock, AR
Masters degree or its equivalent in Management Information Systems, Applied Statistics, Applied Mathematics, or related field of study
Strong understanding of Analytic infrastructures/environments
3+ years of data engineering experience - data acquisition, cleansing, mining, exploratory analysis, data modeling, visualization, advanced SQL, and Big Data management/concepts
3+ years of machine learning experience - working with analytic languages/software (e.g., Python, R, etc.) developing machine learning models/processes including active production deployments - applicable master level coursework and degree can be considered for up to 1 year of experience requirement
Strong personal drive and motivation; entrepreneurial, and excellent at time management
Experience presenting to small and large groups of people, both technical experts and business executives
Ability to adapt and manage multiple responsibilities in a fast paced Agile work environment
A self-starter who is able to work both independently and as part of a team
Comfortable interacting professionally with a diverse group, executives, managers, statistical data analysts, subject matter experts, and end users

DESIRED SKILLS

PH D in Management Information Systems, Applied Statistics, Applied Mathematics, or related field of study
Strong understanding of Retail Business processes and Digital Marketing
In depth knowledge of deep learning/neural networks, time series models, tree based models

MINIMUM YEARS OF EXPERIENCE
3