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KÜHL® Careers

Data Scientist


KUHL, an eCommerce website, is growing dramatically. We can certainly leverage a large pool of data. We are building a cutting edge product discovery engine that utilizes customer signals as they come in. We need your help! As a Data Scientist, you will work on building the next generation of eCommerce technologies at KUHL. Your initial focus will be in the Offers Domain – where you will analyze data to help produce customized offers to our customers. If you are eager to put your algorithm to test in front of customers and iterate based what happens in the real world, then this is your ideal job.

Join us if you want to be spending your time on:

• Gathering and analyzing data, identifying key prediction/classification problems, devising solutions and building prototypes. • Formulating machine learning approaches while paying attention to business metrics, designing features from the rich data available from many sources, training, evaluating, and deploying models. • Researching and implementing methodologies to measure the impact of the technologies. • Initiating and proposing unique and promising modeling projects, developing new and innovative algorithms and technologies. • Developing high-performance algorithms for precision targeting, testing and implementing these algorithms. • Interacting with other teams to define interfaces and understanding and resolving dependencies. • Connecting multiple streams of data to find crossover and useful analysis.

Basic Qualifications:

• At least 3 years of experience with Data Analysis, Predictive Analytics, or Machine Learning • At least 1 year of experience with Python and statistics/data analysis packages such as Pandas • Strong communication and data presentation skills; ability to communicate with data-driven stories • Ability to quickly adapt to new technologies, tools and techniques • Flexible and responsive; able to perform in a fast paced, dynamic work environment and meet aggressive deadlines • Ability to work with technical and non-technical team members • Ability to utilize visualization tools to export reports into dashboards and presentations. • Quickly clean data for analysis Preferred Qualifications: • Masters in Data Science, Statistics, Business Analytics, Computer Science, Math or related quantitative field • Experience with A/B testing • Experience with e-Commerce • Experience with large-scale data analysis and building high-performance computational software • Experience working with real-world noisy data • Experience working within a Retail or eCommerce company

The benefits of being on the KUHL team:

  • Family health insurance provided by KÜHL after 90 days employment.
  • On-site gym/workout room with shower facilities
  • Daily gourmet lunches prepared by our private chef
  • Competitive compensation
  • Performance bonus
  • Paid time off
  • Employee discounts on all KÜHL products
  • 401K
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