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ICONMA, LLC Data Scientist / Data Engineer in United States

Data Scientist / Data Engineer Location: Remote Duration: 1-2 Months With possible extension Description: Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. 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. Coordinate with different functional teams to implement models and monitor outcomes. Develop processes and tools to monitor and analyze model performance and data accuracy 10-12 years of experience Overview of looking to bring on a contractor: Develop data pipelines and transformation to support analytics and ad hoc queries. Additional projects approved to extract and curate new data or remediate for changes to existing require additional capacity Typical workday & overview of the project that this contractor will be working on: Leverage Azure stack such as Data Factory to bring new data into the cloud data lake and transform it for consumption. The TOP must-have skills you’re looking for (Measurable skills, technologies, etc.): Azure data factory, Azure ADLS, Azure SQL, Data modeling, Technical documentation creation The TOP Nice-to-Have skills: Ability to troubleshoot and work independently (with support), Strong communication skills, Collaborative work style Azure data engineer certifications a nice to have As an equal opportunity employer, ICONMA provides an employment environment that supports and encourages the abilities of all persons without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.

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