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$100K to $166K -New Albany, OH
As an engineer on the Data Science team, a data science engineer is responsible for data mining, data extraction & participation in the construction of data products. Our Data Science focus surrounds core retail areas including planning, merchandising, inventory management & supply chain business areas. This position will work closely with other Data Science team members to collect, model, analyze & build data products using core data sets.
In this role, the selected candidate must have an experience with a python based automated runbook to aid with testing the data pipeline; experience with using python with bash scripting to munge/wrangle log data and generate excel formatted reports.
In this role, you will work with various customers, prospects and stakeholders, understands and translates business use cases and/or requirements into data models, data integration routines and analytic reports.
In this role, the selected candidate will develop strong relationships with end users to understand how they are using existing reporting and what enhancements are necessary to better support their needs.
As a Open Stack Data Developer, you will serve as a high technical expert in design, development, coding, testing and debugging new software or enhancements to existing software. In this role, you will be responsible for designing and developing star schemas and data warehouse structures as well as testing data analytics and reporting solutions to our client.
In this role, the selected candidate will be responsible for overall technical design and build of the custom elements of a project; work as a team member along with the Solution Architect and support team members to deliver the complete solution for the customer.
In this role, the selected candidate will write efficient SQL to extract information from Clarity into reports or data extracts. Has working knowledge of relational database concepts (specifically SQL Server).
The business intelligence analyst/developer is responsible for gathering requirements for reporting, analytics, and data visualization tools as well as creating code (sql) and maintaining the current environment.