Data Science Intern position

[Sharon Gould]

Students,

I received the following e-mail from an intern working with Holland Freight Company.
____________________

Good afternoon,

My name is Olivia and I am an intern with Holland, the largest regional LTL freight carrier in the country. The reason I am reaching out to you is that we are currently working on creating a statistics internship position here at our main office in Holland, MI. I was wondering if you could give me some recommendations on the best way to reach students who are majoring in mathematics-related fields at Calvin.

Thank you so much for your help,
Olivia Strayer
Talent Acquisition Intern
Olivia.Strayer at usfc.com<mailto:Olivia.Strayer at usfc.com>
Holland Talent Acquisition
Phone: (616) 395-5702
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*        Here is the job description:  Note, Send resume to Jason Schenkel: Jason.schenkel at usfc.com<mailto:Jason.schenkel at usfc.com>, (616) 395-5077 if interested.  Do not reply to Olivia Strayer.

Data Scientist Intern
Job Overview

We are looking for a Data Scientist who will support our product, sales, leadership and marketing teams with insights gained from analyzing company data. The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action. They must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations.  The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.

Responsibilities for Data Scientist
*        Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
*        Assess the effectiveness and accuracy of new data sources and data gathering techniques.
*        Develop custom data models and algorithms to apply to data sets.
*        Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
*        Develop company A/B testing framework and test model quality.
Qualifications for Data Scientist
*        Strong problem solving skills with an emphasis on product development.
*        Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets.
*        Experience working with and creating data architectures.
*        Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
*        Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
*        Excellent written and verbal communication skills for coordinating across teams.
*        A drive to learn and master new technologies and techniques.
*        We're looking for someone with of experience manipulating data sets and building statistical models and is familiar with the following software/tools:
*        Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
*        Experience querying databases and using statistical computer languages: R, Python, SLQ, etc.
*        Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
*        Send resume to Jason Schenkel: Jason.schenkel at usfc.com<mailto:Jason.schenkel at usfc.com>, (616) 395-5077 if interested.


~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Sharon Gould
Administrative Assistant
Department of Computer Science
Department of Mathematics and Statistics
seg5 at calvin.edu<mailto:seg5 at calvin.edu>
(616)526-7163, Fax: (616)526-6501
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