Data Scientist

Ivertix

Virginia, Minnesota, United States

Virginia, Minnesota, United States

About

Data Scientist Are you a data professional ready to join a dynamic team cracking the government’s most exhilarating data puzzles? Does the idea of leveraging data to justify the adoption of business transformation initiatives excite you? Do you enjoy partnering with decision-makers to understand data insights and develop solutions that help them better control costs, ensure basic accountability, anticipate the future, measure performance, and maintain optimal operations? If so, IVERTIX is the place for you! IVERTIX is seeking a skilled and highly motivated Data Scientist to join our team. As a Data Scientist, you will play a crucial role in building data pipelines to efficiently collect and process data from various external sources. Your expertise in developing validation and analytics processes to ensure our team is fully developed to provide data accuracy and reliability for executing mission-critical work. Responsibilities: Collaborate with analysts and products leads to identify and implement data solutions. Optimize data pipelines to ensure efficient performance with minimal human intervention. Build data pipelines for collecting and processing data from various external sources. Work with data engineers to manage data pipelines and troubleshoot issues to maintain data quality and reliability. Develop validation and analytics processes that are consistent with business needs and strategic goals. Assist with machine learning and data visualization initiatives as needed Continuously improve data solutions to effectively address customer needs. Communicate and coordinate with teams to accomplish objectives and deliver excellence. Requirements: Secret clearance or higher is required. Minimum of 4 years with SQL and modern Big Data ETL technologies like NiFi or StreamSets. Bachelor's degree in a related field. Strong background in a modern programming language, such as Python or Java, with at least 4 years of experience working in a big data and cloud environment. Ability to quickly grasp technical concepts and collaborate with multiple functional groups Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams. Detail-oriented mindset with a commitment to delivering high-quality results. Must be in the DC Metro area and available to work onsite (Crystal City, VA and Alexandria, VA) 2-3 days per week. Nice to Have: Recent DoD or IC-related experience. Experience in working in an agile development environment If you are passionate about leveraging your data scientist skills and working with cutting-edge technologies to enable efficient data analysis, we encourage you to apply. Join our team and be a part of our mission to provide streamlined and rapid access to critical information!
Interview Requirements : Video Interview – Yes (may include technical assessment) Interview Prep: Candidates should be prepared to clearly articulate their experience creating data-related software applications from scratch (Recent evidence of this should be easily identifiable in their resume). Candidates should be prepared to clearly articulate data problems that their applications have solved in their past. Candidates should be prepared to discuss what technologies they have hands-on experience with and demonstrate in-depth understanding of those technologies during the technical assessment. Candidates should be prepared to clearly articulate their experience working with very large data sets/Big Data like that of large federal agency. Candidates should be prepared to articulate their proficiency level clearly & honestly with data and software-related programming languages and explain their thought processes related to problem solving. Candidates should be prepared to discuss their onsite availability. Fully Remote Option: Fully remote work schedules are not available at this time. Clearance Sponsorship: Clerable - US Citizens
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Virginia, Minnesota, United States

Languages

English

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