Data Scientist II

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EMPLOYER:           ReaderLink Distribution Services, LLC

POSITION:              Data Scientist II

DUTIES:                  The Data Scientist will be the primary source of statistical rigor and testing across the RDS and RMS enterprise.  This position will be required to deploy standard data mining protocol to be sure all subsequent analytics, modeling, A.I. and machine learning algorithms operate on unbiased and relevant data. The Data Scientist is required to have operating knowledge of single and multivariable regression techniques to model predictive independent results. These techniques are needed to be automated and attached to auto intelligent processes that self-correct using statistical variance detection. This position requires experience with data mining for analytics, to be sure of reporting completeness and its unbiased nature when being applied to all data analysis packages and automated statistical tools. When data isn’t present, or incomplete the Data Scientist must be able to simulate results, forecast results, and develop a description that passes statistical rigor in testing also containing ample explanation. Specific job duties include, required to build standard predictive regressions across the enterprise. RDS is interested in being able to feed a comp cluster to these titles and predict POS /returns for title lifecycles. All regression models need to be easily explainable and defensible to all levels to avoid over complexity of prediction. Develop reliable store level reporting to observe behavior that’s predictable but isn’t communicated from the customer. The ultimate goal is to be able to have an automated warning system when any club for any chain changes statistical rank so that more research can be done on the affects this has micro and macro. From all the requested modeling needs above, the Data Scientist needs to deploy these models in an automated fashion and attach them to our ERP system and enterprise data warehouse.  Data needs to automatically feed into systems and predictive results need to be generated automatically for review of variance. Develop image and text recognition cognitive process to assist in various facets of supply chain optimization, forecast and process improvement.  Utilize AI technology in combination with Python or R software systems. Assist in building and manning automated cloud serviced machine learning processes to be sure of their predictive direction and accurate operation. These models may be part of solutions currently purchased or may require some scouting to find and connect to our systems. The Data Scientist will be expected to propose and research these models and reflect validation for the organization.

REQUIREMENTS:  Master’s degree or foreign equivalent in Math, Statistics, Business, Finance, or related quantitative field of study, and one (1) year of experience in a related position working with big data manipulation, using SQL or other database querying languages. Work experience or academic coursework must have included: One year of experience with relational database management, including table design and data maintenance; Knowledge of managing Machine Learning Tree Type models, with ability to build manually; Experience with Microsoft Power BI, including basic dashboard building; Experience building multivariate regression models in R and Python and testing for performance success; experience managing projects and tasks in a Microsoft communication platform.

JOB SITE:               1420 Kensington Road, Suite 300, Oak Brook, IL 60523. Telecommute work from home position in office at least 3 days a week.

ReaderLink is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, protected veteran status, or status as an individual with a disability. EOE/Minority/Female/Disabled.