Job Description
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.
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:
- 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.
Required Qualifications:
- 5+ years of related experience
- 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
Formal Education:
- Bachelor’s Degree (required), Master’s or Ph.D. degree (preferred) in operations research, industrial engineering, mathematics, statistics, computer science/engineering, or other related technical fields with equivalent practical experience.
MUST BE A US CITIZEN AND ABLE TO OBTAIN A CBP BI
All your information will be kept confidential according to EEO guidelines.
Pangiam is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
