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. 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.

The strongest applicants will offer multiple years of experience in highly dynamic, threat/risk driven operating environments. They will also have a proven track record of delivering production ready decision support tools and applications employed in the field and by mission-support entities. Further, highly competitive applicants will have a demonstrated capacity to: work closely and collaboratively with mission stakeholders; respond to emergent, mission-driven changes in priorities and expected outcomes; and, apply new and emerging tools and techniques.

Responsibilities include, but are not limited to

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

• Perform hands-on analysis and modeling involving the creation of intervention hypotheses and experiments, assessment of data needs and available sources, determination of optimal analytical approaches, performance of exploratory data analysis, and feature generation (e.g., identification, derivation, aggregation).

• Collaborate with mission stakeholders to define, frame, and scope mission challenges where big data interventions may offer important mitigations and develop robust project plans with key milestones, detailed deliverables, robust work tracking protocols, and risk mitigation strategies.

• 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.

• 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:

• Qualifications (Degree/years): 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

• Proficiency with Supervised Machine Learning methods including Decision Trees, Support Vector Machines, Logistic Regression, Random/Rotation Forests, Categorization/Classification, Neural Nets, Bayesian Networks, etc.

• 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.

• Experience with pattern recognition and extraction, automated classification, and categorization

• Experience with entity resolution (e.g., record linking, named-entity matching, deduplication/ disambiguation)

Preferred Qualifications:

• Experience with visualization tools and techniques (e.g., Periscope, Business Objects, D3, ggplot, Tableau, SAS Visual Analytics, PowerBI)

• Top secret clearance

• 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:

• Must be a U.S Citizenship with the ability to obtain DHS CBP Suitability.

• Active Top Secret Clearance preferred.

Physical Requirements:

• Must be able to remain in a stationary position 50%

• The person in this position needs to occasionally move about inside the office to access file cabinets, office machinery, etc.

• Constantly operates a computer and other office productivity machinery, such as a calculator, copy machine and computer printer.

• The person in this position frequently communicates with co-workers, management and customers, which may involve delivering presentations. Must be able to exchange accurate information in these situations.

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.