Secure our Nation, Ignite your Future

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 legitimate, safe, and secure.

Within three - six months of joining the project, data scientists will be expected to:

• Perform hands-on analysis and modeling with large, complex data sets to provide solutions to support a wide range of law enforcement mission areas.
• Demonstrate proficiency in extracting, cleaning, and transforming CBP transactional and mission data associated 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 and methods to define and develop programming algorithms; train, evaluate, and deploy predictive analytics models that directly inform mission decisions.
• 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

Education:

• Bachelor’s Degree (required) in operations research, industrial engineering, mathematics, statistics, computer science/engineering, or other related technical fields with equivalent practical experience.

• HS Diploma/GED and 6-15 years

  AS/AA and 4-13 years

  BS/BA and 2-7 years

  MS/MA/MBA and 0-5 years

  PhD/Doctorate and 0-3 years

Required Qualifications

• 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.
• Experience with SQL programming
• Experience constructing and executing queries to extract data in support of EDA and model development
• 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

Desired Qualifications

• Proficiency with statistical software packages including: SAS, SPSS Modeler, R, WEKA, or equivalent
• 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:

• Selected applicants must be a US Citizen and able to obtain and maintain a U.S. Customs and Border Protection (CBP) suitability.

For all positions requiring access to technology/software source code that is subject to export control laws, employment with the company is contingent on either verifying U.S.-person status or obtaining any necessary license. The applicant will be required to answer certain questions for export control purposes, and that information will be reviewed by compliance personnel to ensure compliance with federal law. ManTech may choose not to apply for a license for such individuals whose access to export-controlled technology or software source code may require authorization and may decline to proceed with an applicant on that basis alone.

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 because of race, color, sex, religion, age, sexual orientation, gender identity and expression, national origin, marital status, physical or mental disability, status as a Disabled Veteran, Recently Separated Veteran, Active Duty Wartime or Campaign Badge Veteran, Armed Forces Services Medal, or any other characteristic protected by law.

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