Data Scientist

DescriptionThe Amivero TeamAmivero’s team of IT professionals delivers digital services that elevate the federal government, whether national security or improved government services. Our human-centered, data-driven approach is focused on truly understanding the environment and the challenge, and reimagining with our customer how outcomes can be achieved.Our team of technologists leverage modern, agile methods to design and develop equitable, accessible, and innovative data and software services that impact hundreds of millions of people.As a member of the Amivero team you will use your empathy for a customer’s situation, your passion for service, your energy for solutioning, and your bias towards action to bring modernization to very important, mission-critical, and public service government IT systems.Special RequirementsUS Citizenship Required to obtain Public TrustActive DHS or CBP Public Trust clearance preferredAbility to commute to Reston, VA 1-2x per week3+ years of relevant experienceThe Gist…We are looking for a Data Scientist with exceptional skill to develop machine learning and deep learning models and algorithms that create useful and actionable insight for customers. The ideal candidate should be someone who is strong mathematically; can automate scoring using machine learning techniques, build recommendation systems, and select the correct data points for analysis from the large data sets. You are focused on results, a self-starter, and have demonstrated success for using analytics to drive the understanding, growth, and success of the analysis.What Your Day Might Include…Perform knowledge elicitation from customer subject matter experts and convert that to derived algorithmsAnalyze large data sets to identify actionable insights with mathematical statistical rigorRigorously critique and correct intermediate results to improve the algorithmic outcomesDesign and deploy deep learning algorithms and predictive modelsDevelop custom data models and algorithms to apply to data setsAssess the effectiveness and accuracy of new data sources and data gathering techniquesDevelop processes and tools to monitor and analyze model performance and data accuracyInterpret and communicate results to non-technical customersYou'll Bring These Qualifications...US Citizenship and active DHS or CBP security clearance required to support role3+ years of experience in Computer Science, Statistics, Applied Mathematics, Computational Linguistics, Artificial Intelligence or related field3 or more years of practical working experience in one or more of the following areas: Natural Language Processing, Machine Learning Models, Question Answering, Text Mining, Information Retrieval, Distributional Semantics, Data Science, Knowledge EngineeringExperience using a variety of mathematical, statistical, data mining, and data analysis methods/toolsInterpersonal skills and the ability to communicate effectively with various clients in order to explain and elaborate on technical detailsExperience in productization of machine learning algorithms and the ability to deliver data science components that are part of successful deliverablesWorking knowledge of general machine learning algorithms and NLP, Graph Theory, and Network AnalysisFluency in one or more programming languages (e.g., Python, JavaScript, R, etc.)Experience with statistical data analysis, experimental design, and hypotheses validationExperience with database querying like SQLReadiness to collaborate with engineering teams, product teams, and customers to develop prototypes and software productsScaled Agile Framework (SAFe) experienceEOE/M/F/VET/DISABLEDAll qualified applicants will receive consideration without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state and local laws. Amivero complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities.

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