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Form of workJob Description
Schneider Enterprise Resources, LLC has an opening for a Data Scientist Sr. in Green Bay, WI.
Responsible for designing and implementing analytical models for delivering actionable business insights and decision support. Create statement of work documents, identify data, prepare data (merging data from different sources, cleansing, manipulation, etc.), select and create models (descriptive and prescriptive models) and train, test, improve, and document models. Develop sufficient understanding of client's business operations and practices to apply the appropriate methods, models, and analysis. Deepen and expand relationships with clients to understand their business so that recommendations are perceived as credible and able to meet their business needs. Gather and integrate business information and data into appropriate models and tools to support the development of solutions. Prepare written non-technical reports and presentations to managers and key decision makers indicating solution or range of possible alternative solution pros and cons and technical recommendations. Effectively communicate technical engineering solutions and results into appropriate business language for clear client understanding. Prepare proposals, statements-of-work, project logs and updates, and presentations in a clear and concise manner. Document project assumptions, approach and results including net savings or profit. Effectively scope projects and work assignments and make realistic work completion estimates. Develop appropriate work communication and contingency plans. Actively participate in knowledge sharing within the department and collaborate with other projects to help support success of objectives and continued development of other associates. Create innovative statistics models and technical approaches that address complex business issues. Lead small projects as assigned. Position reports to 3101 Packerland Drive, Green Bay WI, 54313; Telecommuting permitted from anywhere in the US.
Job Requirements:
Position requires a Master's degree in Data Science, Statistics, Mathematics, Computer Science, Industrial Engineering, or a related field and 1 year of relevant experience. In the alternative, the position requires PhD Degree in Data Science, Statistics, Mathematics, Computer Science, Industrial Engineering, or a related field.
Must have:
One year with Object-Oriented Programming Language including Python, R, Linux, and SQL.
Leading projects from end to end, including collaborating with cross functional teams to integrate code into production systems using tools including Git and the Agile Framework.
Applying advanced statistics modeling, solution techniques and tools in transportation, logistics, and warehousing problems.
Working with supervised and unsupervised machine learning algorithms including time-series forecasting, quantile regression, linear regression, logistic regression, Tree-based models, SVM, K-Means Clustering, Bayesian Methods, and Recommender systems.
Deep Learning algorithms and Reinforcement Learning algorithms and selecting the appropriate methodology to complete assignments.
Using Big data (Hadoop Map/reduce, Spark, Hive, Pig, or Mahout) or cloud computation (AWS, Azure, or similar).
Data analysis and visualization software packages including SPSS, Power BI, matplotlib, ggplot or Tableau; and
Databases (SQLite, Oracle, or MSSQL) and spreadsheets (Excel) and an understanding of the capabilities and uses of database applications.
To apply, please submit resume at https://schneiderjobs.com Job ID #240606
