**ManTech** is seeking a motivated, career- and customer-oriented **SME Data Scientist** to join our team in **Ashburn, VA.** 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 solutions to promote efficient trade and travel. Further, effective solutions help CBP ensure the movement of people, capital, and products is legal, safe, and secure. In response to this challenge, ManTech, as a trusted mission partner of CBP, seeks capable, qualified, and versatile SME Data Scientists to help lead the development and delivery of high-quality predictive modelling solutions. **Responsibilities include but are not limited to:** + Lead and perform hands-on data and threat/intel analysis leading to development of analytics solutions (e.g. predictive models, visual analytics reports), to support CBP users conduct law enforcement mission critical activities. + Collaborate with mission stakeholders to define, frame, and scope mission challenges where big data interventions may offer important mitigations to project schedules and outcomes. + Demonstrate proficiency in extracting, cleaning, and transforming CBP transactional and associated data sets within an identified problem space to build predictive models as well as develop appropriate supporting documentation. + Leverage knowledge of a variety of statistical and machine learning techniques to develop, evaluate, and deploy new predictive analytical models that directly inform mission decisions. + Utilize and explore variety of statistical/modeling tools and languages to compare and assess best performing Machine Learning results. + Execute projects including those intended to identify patterns and/or anomalies in large datasets; perform automated text/data classification and categorization as well as entity recognition, resolution and extraction; and named entity matching. + Brief project management, technical design, and outcomes to both technical and non-technical audiences including senior government stakeholders throughout the model development/ project lifecycle through written as well as in-person reporting. **Minimum Qualifications** + Education: HS Diploma/GED and 20+ years, AS/AA and 18+ years, BS/BA and 12+ years, MS/MA/MBA and 9+ years, PhD/Doctorate and 7+ years + Experience in developing machine learning models and applying advanced analytics solutions to solve complex business problems + Experience with programming languages including: R, Python, Scala, Java. + Proficiency with SQL programming + Experience constructing and executing queries to extract data in support of EDA and model development + Proficiency with statistical software packages including: SAS, SPSS Modeler, R, WEKA, or equivalent + Experience with pattern recognition and extraction, automated classification, and categorization + Experience with entity resolution (e.g., record linking, named-entity matching, deduplication/ disambiguation) + Experience with unsupervised and supervised machine learning techniques and methods + Experience performing data mining, analysis, and training set construction **Preferred Qualifications:** + Experience/Proficiency in conducting development and integration activities to deploy, assess and update Machine Learning models into applications for end-user use and evaluation. + Proficiency with Unsupervised Machine Learning methods including Cluster Analysis (e.g., K-means, K-nearest Neighbor, Hierarchical, Deep Belief Networks, Principal Component Analysis), Segmentation, etc. + Proficiency with Supervised Machine Learning methods including Decision Trees, Support Vector Machines, Logistic Regression, Random/Rotation Forests, Categorization/Classification, Neural Nets, Bayesian Networks, etc. + Experience with pattern recognition and extraction, automated classification, and categorization + Experience with entity resolution (e.g., record linking, named-entity matching, deduplication/ disambiguation) + Experience with visualization tools and techniques (e.g., Periscope, Business Objects, D3, ggplot, Tableau, SAS Visual Analytics, PowerBI) + Experience with big data technologies (e.g., Hadoop, HIVE, HDFS, HBase, MapReduce, Spark, Kafka, Sqoop) + Master’s Degree in mathematics, statistics, computer science/engineering, or other related technical fields with equivalent practical experience **Clearance Requirements:** + Selected applicants must be a US Citizen and able to obtain and maintain a U.S. Customs and Border Protection (CBP) suitability. **Physical Requirements:** + Must be able to remain in a stationary position approximately 50% of the time ManTech International Corporation, as well as its subsidiaries proactively fulfills its role as an equal opportunity employer. We do not discriminate against any employee or applicant for employment. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. If you are a qualified individual with a disability and require a reasonable accommodation to apply for a position with ManTech through its online applicant system, please email us at careers@mantech.com and provide your name and contact information.