Data Scientist

  • Full Time
  • Anywhere

Website Bluestem Brands

Bluestem Brands is the parent company to seven eCommerce retail brands. We have one mission: to build a dynamic retail enterprise that wins with direct-to-consumer excellence and entrepreneurial-minded employees focused on serving our customers’ unique needs. Our leadership is responsive and supportive, empowering those smart and passionate employees who drive our success. We are continually innovating and improving: we take risks, learn from mistakes and celebrate success as a team.

You work hard, and you deserve more than just a paycheck. Bluestem works to do what’s right for employees. From the big things (great benefits, employee discounts and incentive plans) to small touches (jeans-every-day dress code), this is the place you’ll want to be. And we don’t just talk about work-life balance, we try to live it. Join the Bluestem Brands team to make an impact, be inspired and be valued, every day.

We are looking for a Data Scientist to be located in our office at Eden Prairie, MN. As a Data Scientist for Marketing, you will be at the forefront of delivering advanced analytics solutions and machine learning models across the Marketing organization. You will focus on utilizing data from multiple sources to discover new customer insights, drive marketing communications, tailor the customer experience, and ultimately drive revenue. You will be an expert for the Marketing organization on predictive modeling, customer analytics, statistical methodologies, and testing and measurement. Our ideal candidate should be a strong programmer, be familiar with modern modeling techniques, have a deep understanding of and appreciation for data, possess excellent communication skills, and be passionate about solving business problems with data.


  • Develop and/or implement machine learning models for predictive purposes.
  • Validate models for roll-out and analyze the performance of existing models.
  • Assess the usefulness of new data sources, transformations, and modeling techniques.
  • Perform high quality, data driven statistical inference.
  • Mine large datasets in multiple databases to draw patterns and inferences to build models and arm leaders with information that will help make business decisions.
  • Support end-users to design strategies based on newly developed machine learning models.
  • Find new areas of opportunity for Marketing to utilize predictive models or other analytic solutions.


  • Minimum 3 years’ experience in data science or 5 years in data analytics
  • Strong skills in SQL or SAS
  • Experience with Python or R
  • A passion for evaluating business problems and generating data-driven solutions
  • A deep, intuitive understanding of data and its quirks.
  • Strong problem solving, project management, and communication skills
  • Hands on experience with information retrieval from high dimensional data, dimensionality reduction and feature extraction.
  • Basic knowledge of supervised and/or unsupervised model building techniques is a plus, especially one of these machine learning methodologies, such as: neural networks, extreme gradient boosting (XGBoost), support vector machines (SVM), gradient boosted models (GBM), and random forest.
  • Able to work alone and on a team. Should feel comfortable tackling ambiguous problems with limited direction.

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