Data Scientist

Data Scientist jobs at

Data Scientist

$ Not disclosed

We are looking for a savvy Data Scientist to join our growing team of analytics experts. You will be a part of the team responsible for optimizing Lands’ End’s marketing and operational processes and provide critical insights for the executive team. Your background is one that is filled with exploration and curiosity. In addition, you feel comfortable with data – exploring, sifting, modeling and seeing things that others could not see.

As a key member of the analytics and insights team, you will provide modeling and analysis in support of the highest priority efforts. You are self-directed and comfortable leading projects and coordinating across teams. In addition, you would be excited by the prospect of optimizing or even re-designing the company’s approach to pricing, discounting, targeting and customer retention.

To help with your efforts, you can expect a comprehensive technology stack, very talented co-workers and an AWS-based analytics environment with an array of on-line and off-line data. You will work with fellow data science team members developing algorithms to enhance business performance and the customer experience in an agile environment. Because of its dedication and efforts, Lands’ End is #19 on the NRF’s list of fasting growing retailers, an Internet Retailer top 100 company and a great part of your future.


  • Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies through:
    • Clear scoping and definition processes
    • Data acquisition, cleaning and exploratory analyses
    • Careful and informed selection of models, algorithms, approaches
    • Measuring performance and iterating to strong solutions
  • Present findings to stakeholders and share insights with team members
  • Assess the effectiveness and accuracy of new data sources and data gathering techniques
  • Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes
  • Develop testing strategies to implement varying approaches
  • Coordinate with different functional teams to implement models
  • Develop processes and tools to monitor and analyze model performance and data accuracy
  • Review code generated by the team for fitness, appropriateness and optimality
  • Share technical knowledge and mentor other staff members within broader analytics and e-commerce communities


  • BS in quantitative discipline required with MS+ preferred
  • Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases
  • A successful history of manipulating, processing and extracting value from large, disconnected datasets
  • Commercial-level comfortability with Python and/or R and the key respective libraries used to support DS efforts. Mastery of Python is especially helpful. Experience in other open-source model development environments like Sagemaker, TensorFlow, KNIME, etc. preferable along with AWS experience. Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, NN, text mining, etc. and their real-world advantages/drawbacks. Digital Analytics experience is helpful.
  • Experience with web services like Redshift, S3 and Spark helpful
  • Strong project management and organizational skills
  • Excellent written and verbal communication skills for coordinating across teams
  • Curiosity along with the ability to think critically and clearly, understand business contexts and needs, as well as deliver key insights and recommendations to senior stakeholders. A drive to learn and master new technologies and techniques.

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities

The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information. 41 CFR 60-1.35(c)

Get the book

Published 2021-05-17

Lands' End looks for a Data Scientist in Dodgeville, WI 53595 location.

How much Data Scientist professional earns at Lands' End?

The proposed salary for Data Scientist position at Lands' End is Not disclosed.

Data Scientist responsibilities at Lands' End

According to the common industry standard, Data Scientist specialist is in charge for the following activities.

Required Data Scientist qualifications at Lands' End

To be disscussed with candidate