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Data Scientist - Senior

Employer
Cognitiocorp
Location
Arlington, VA
Closing date
May 12, 2021

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Cognitio has a rewarding and exciting position as a Data Scientist/Engineer, working with a team of developers, technology professionals, tradecraft experts, and tactical developers to solve difficult problems and create solutions needed to meet mission needs. Working with this team will require unique expertise and the ability to articulate problems, requirements, and proposed solutions, while working with both technical and non-technical resources to achieve goals in support of various mission sets. Key Responsibilities:Job duties for the include the following: Design, develop, code, test, and debug complex new software products, or make significant enhancements to existing software Participate in building scalable platforms that incorporate business intelligence, analytics, data science, and data management Use firsthand technical expertise in a variety of large data technologies, social media applications, and mobile technology in order to fashion capabilities to monitor, collect, and analyze data that may be generated from these types of technologies Understand data flow, and determine how to develop test and automation suites to ensure data collection Provide ongoing maintenance, support and enhancements in existing systems and platforms Collaborate cross-functionally with data scientists, analysts, project managers, and other engineers Utilize data science disciplines and techniques needed to deliver, create, and maintain collection and other types of platforms. Troubleshoot complex problems and provides customer support for software systems and application issues Deliver on multiple competing priorities once initial input has been received Maintain and enhance operations security and be sensitive to mission needs regarding discoverability and attribution Requirements 8-10 years of experience, or BS in Computer Science plus 6-8 years of experience, or MS plus 5-6 years of experience u200b Experience with various cloud providers (Amazon, Azure, etc.) and components of those providers such as Amazon u2019s Lambda, EC2, Glacier, or EBS functionality Expertise with a variety of database technologies and capabilities such as NoSQL, SQL, Hadoop, Hive, Pig, Oracle, Ganglia, Expertise with programming languages and frameworks such as .NET, Java, Python, and Bash scripting Familiarity with tools like Jenkins, Team City, Selenium, Chef, Puppet, Ansible, and Nagios

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