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Data Science Manager

Red Oak Technologies, Inc.

This is a Full-time position in Wilmington, DE posted May 7, 2021.

Red Oak Technology is seeking a Data Scientist Manager for our high tech giant client located throughout United States for a Contract to Hire or Direct Hire position. Multiple Location Can be located in any of the following or able to relocate to – Ohio, Iowa, Indiana, Tennessee, Colorado, Michigan, ILLINOIS, FLORIDA, GEORGIA, ALABAMA, MISSOURI, KANSAS, MARYLAND, DELAWARE. Responsibilities Responsible for leveraging structured and unstructured data sets to gain critical insights on how to drive our networks, systems, and products forward. This role is responsible for creating machine learning models that help to understand network capacity, system performance, or licensing consumption across out platforms. Leverage data to identify opportunities for improvement and ultimately increase customer satisfaction. Drive data collection and enablement for improvements in analytical capabilities and reporting in conjunction with engineers, developers and analysts across the company. Create and curate machine learning and data modeling practices for the engineering team. Ensures that all system data and telemetry is appropriately consumed and utilized in analytical activities. Develops and maintains reports and visualizations for peers, leaders, and stakeholders and makes recommendations on potential actions from the data. Builds and creates self-service reporting and visualization capabilities to ensure that critical business functions can be continuously monitored. Lead small teams of resources for short or long term projects as business needs justify. Qualifications Expert data scientist in network performance and optimization while also being able to lead small teams of resources as projects needs arise. Experience with Telecom network Infrastructure or Data Optimization within a network Telecom Experience with Network capacity, system performance or licensing consumption across platforms 7+ years of experience in data analytics, reporting, machine learning or database administration. 1-3 year of experience managingleading teams. Expertise with SQL, NoSQL, R, SAS, Python, JavaScript, or C variants of programming languages. Experience with machine learning, predictive modeling and pattern recognition. Expertise in data mining and statistical analysis. Expertise with visualization tools such as tableau. Strong in statistical analysis.

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