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Director Data Science

Dodgeville, WI, USA | Lands' End Inc

  • Industry:
    Retail
  • Position Type:
    Full-Time
  • Functions:
    General Management
    IT / Information Technology
  • Experience:
    7-10 years
Job Description:
70 people have viewed this job

People are the heart of our company, and our doors are open to everyone. As a customer, as an employee – we are committed to creating an inspiring culture that is welcoming, safe and inclusive for all. Our strength in work and life comes from the combination of our experiences, backgrounds and talents. It’s what we do as people that makes Lands’ End a great place to shop and a great place to work.


The Director of Data Science is an entrepreneurial executive with a strong data science background and experience in leveraging data to drive tangible growth in a large ecommerce organization. This is a hands-on leadership role, building and leading a team of data scientists and data engineers to leverage our significant data resources to enable fact-based decisions across the Lands’ End enterprise. The ideal candidate is a combination of a thought leader and a hands-on executive, seamlessly combining proven business acumen with very deep technical skills.


Responsibilities:


• Lead geographically-diverse team of data scientists and engineers, establishing a non-hierarchical organization where all are encouraged to speak and the best idea wins


• Sit on the analytics leadership team and have primary responsibility to evangelize data science approaches to solving problems across the organization for both technical and non-technical audiences


• Champion Lands’ End migration to an AWS cloud-based analytic platform and evangelize the use of open source tools and technologies


• Develop and implement predictive models, segmentation strategies, optimization algorithms, and data mining analyses across a wide range of sponsors and business challenges


• Partner with IT to develop the quality and variety of data assets to improve decision-making and speed-to-market


• Interact with the Lands’ End-sponsored University of Wisconsin Center of Innovation and other external partners to ensure Lands’ End maintains visibility into emerging trends and enhances its reputation as a place for data professionals to excel


Requirements:


• 7+ years in a quantitative business with at least 3 years as a team leader / manager; experience with a retailer which has a significant on-line presence is essential; experience with a multi-channel retailer is highly desirable


• Proven track record leading large-scale/ complex analytics projects with demonstrated financial benefits


• Strong communication skills, inclusive of executive level team members, with the ability to explain complex concepts to a diverse audience


• Maintains positive, collaborative partnerships with internal stakeholders, skillfully juggling conflicting priorities and maintaining order through effective project management


• Significant training in advanced statistics; graduate degree in a quantitative field (statistics, data science, computer science, etc.) strongly desired


• Expert knowledge of R and/or Python (ideally both); deep knowledge of analytic packages available for above languages


• Demonstrated capability of using machine learning techniques (Neural Networks, Naïve Bayes Classifiers, Support Vector Machines, Decision Trees, etc.) to drive meaningful financial returns


• Strong data munging and software engineering skills (Spark, SQL/NoSQL, etc.)


• Innate curiosity to always ask why and the creativity to find the answer


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