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Data Scientist II

Green Bay, WI
First shift
Job ID:

Job Description

Schneider Enterprise Resources, LLC has an opening for a Data Scientist II in Green Bay, WI. Create proposals, statements of work, project logs and updates, and presentations in a clear and concise manner. Document project assumptions and approaches and track savings. Identify data sources and prepare data (merging data from different sources, cleansing, manipulation, etc.). Collaborate with Senior Data Scientists and engineers to decide on approach and design. Independently document and implement analytical models to deliver actionable business insights and decision support. Prepare and deliver written non-technical reports and presentations to managers indicating solution or range of possible alternatives, solution pros and cons, and technical suggestions. Understand the uses and limitations of statistical methodologies such as time-series forecasting, regression analysis, random forests, k-means clustering, Bayesian methods, and machine learning. Select the appropriate methodology to complete assignments. Learn and utilize statistical programming languages and tools such as R, SAS, Python SQL, SPSS, and Tableau. Effectively communicate technical information and concepts to non-technical audiences. Telecommuting permitted from the Green Bay metropolitan area 50% of the time.

Job Requirements 

Master's degree in Data Science, Mathematics, Statistics, Computer Science, or related field, and two years of experience in a Data Scientist position. In the alternative, will accept a PhD degree in Data Science, Statistics, Mathematics, Computer Science, or related field.
Must have work experience with:

  • Using machine learning approaches including k-means clustering, k nearest neighbor, PCA, random forest, gradient boosted techniques, and logistic regression, and the ability to select the appropriate methodology to complete assignments;
  • Statistical approaches and tools, including the ability to select the appropriate methods to identify significant trends/associations;
  • Using computer programming languages and tools, including Python, SQL, R, and Java;
  • Using data visualization software including Tableau, Power BI, matplotlib and ggplot; and
  • Communicating technical information and concepts to non-technical audiences.

Please submit resume online through this site (

Diversity, Equality and Inclusion 

Our history has taught us that treating everyone with dignity and respect is vital to our ongoing success. We embrace and seek out diversity that is inclusive of thought, race, ethnicity, gender, age, religion, sexual orientation, experience and background. We find that this diversity and openness ensures that all our associates have equal access to opportunities and resources to contribute fully to the organization’s success, and it fuels innovation, improves strategic thinking and cultivates leadership. 

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