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INflow, LLC.

Jr Data Scientist -

INflow, LLC., Arlington, Virginia, United States, 22201


At INflow Federal, we're not just navigating the frontier of digital transformation; we're reshaping it. Our dedication to merging the prowess of humans and machines to solve complex problems has set us apart in designing and engineering solutions for the Department of Defense (DoD) networks. Here, every challenge is an opportunity to advance, and every solution is a step towards a more secure and connected future. We look forward to welcoming you to the INflow team!ABOUT THIS POSITION:Data Scientists at INflow Federal are at the heart of our mission to empower DoD customers with cutting-edge data-driven solutions. Your expertise will not only pave the way for innovative data management and infrastructure but also drive our commitment to data modernization and cyber resilience. This role is a unique blend of technical mastery and strategic foresight, designed for those who dare to transform data into actionable insights and groundbreaking solutions.Here, your work is more than a job—it's a journey in innovation. With opportunities to work on high-impact projects, access to the latest technologies, and a culture that thrives on creativity and collaboration, INflow Federal is where your expertise can truly make a difference.The Junior Data Scientist supports data analysis and modeling efforts to extract insights and inform business decisions. The individual will work with large datasets, apply statistical methods, and develop predictive models.

Job Duties

Design, configure, develop, test, and support informatics and data science solutions for a wide array of technical use cases.Apply analytical methodologies to diagnose data-related challenges, implement solutions, and evaluate performance.Document and present requirements, design alternatives, and findings to team members and clients.Ability to develop strategic, baselined, data modeling processes; ability to accurately determine cause-and-effect relationships.Experience with integrated development environments, data integration, data visualization, data mining, and analysis tools.Maintain and guide the development of common libraries and tools used by multiple teams.Aid in formulating a strategy on how to achieve rapid prototyping.Required Experience

Bachelor’s degree plus 1-3 years experience, or a Master’s degree plus 1-3 years of experience.Experience with ML fields, e.g., natural language processing, computer vision, statistical learning theory.Experience in an ML engineer or data scientist role building ML models.Experience writing code in Python, R, Scala, Java, C++ with documentation for reproducibility.Experience handling terabyte size datasets, diving into data to discover hidden patterns, using data visualization tools, writing SQL, and working with GPUs to develop models.Experience writing and speaking about technical concepts to business, technical, and lay audiences and giving data-driven presentations.Preferred Certifications

CompTIA Security+Microsoft Certified Azure Data Scientist - AssociateRequired Clearance

DoD Top Secret

Citizenship RequirementsINflow Federal is a defense contractor. Due to legal requirements, candidates must be US Citizens to be considered for employment.Other Notes- Some travel may be required: Must have valid driver’s license and transportation. This is subject to change at the direction of the customer.- Candidate must have the ability to lift up to 50 lbs.- Must have willingness to perform duties not listed in the job description as required by INflow and our customer.Equal Opportunity EmployerDiversity and InclusionINflow provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type 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.This commitment applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, leaves of absence, compensation, and training. Job applicants and employees are evaluated solely on job-related qualifications and experience.

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