Avantus Federal, recently acquired by QinetiQ US, is a mission-focused data, cyber and space services, and solutions company. As a mid-market powerhouse with an intentional blend of elite talent, infrastructure, and speed to impact, Avantus leads with technical and domain expertise for its Defense, Intelligence, Homeland Security and Federal Civilian customers.
Helping to solve some of the toughest national security problems and government missions, Avantus’ offerings enable services at scale, including cyber technologies and operations, data and software solutions, digital engineering and integration, intelligence analysis and operations, transformation, and advisory services and more.
REMOTE/HYBRID Opportunity.
Each day U.S. Customs and Border Protection (CBP) oversees the massive flow of people, capital, and products that enter and depart the United States via air, land, sea, and cyberspace. The volume and complexity of both physical and virtual border crossings require the application of “big data” solutions to promote efficient trade and travel. Further, effective “big data” solutions help CBP ensure the movement of people, capital, and products is legal, safe, and secure.
In response to this challenge, Avantus Federal, as a trusted mission partner of CBP, seeks capable, qualified, and versatile data scientists to help lead the development and delivery of high-quality predictive modelling solutions. Successful applicants will serve as recognized subject matter experts in the application of quantitative methods, machine learning algorithms, and predictive models to address complex national and homeland security challenges. They will help our team to leverage large structured and unstructured datasets to develop and operationalize models, tools, and applications that drive optimized decision making. Project tasks include data collection, mining, data and text analytics, clustering analysis, pattern recognition and extraction, automated classification and categorization, and entity resolution to implement and enhance automated risk assessment. The products we develop provide actionable insight with real and immediate impact on the safety and security of the United States, its citizens, visitors, and economy.
Selected applicants must be a US Citizen and able to obtain and maintain a U.S. Customs and Border Protection (CBP) suitability.
Avantus Federal is an equal opportunity workplace and a Vietnam Era Veterans Readjustment Assistance Act (VEVRAA) federal contractor. All qualified applicants receive consideration for employment without regard to race, religion, color, age, gender identity, sexual orientation, national origin, ancestry, citizenship status, physical or mental disability, medical condition, pregnancy, marital or veteran status, as protected by applicable law. If you have a disability or special need that requires accommodation, please let us know by requesting an accommodations application. Avantus encourages members of historically underrepresented communities to apply and hires individuals solely based on their qualifications for the role. We strongly commit to embracing diversity and ensuring equal employment opportunities for all.
Supervised learning uses labeled data to make predictions, while unsupervised learning finds patterns in unlabeled data.
As data scientists, we detect data analytics-related errors to help our organization succeed. Our job also obliges us to gather large sets of structured and unstructured data from different sources and to proofread the collected data to ensure validity, correctness, and completeness. We also analyze the data to discover solutions to the persisting problems as well as to find newer opportunities for the organizations. Other than this, we also communicate this data to the people who need it for the decision-making processes. Lastly, creating clear reports that tell how customers interact with the business is also our responsibility.
Core tasks: