MANTECH

MANTECH seeks a motivated, career- and customer-oriented Senior Data Scientist to join our innovative team in Ashburn, VA. This is a hybrid position with 2 days onsite and 3 days remote.
 

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.
 

Responsibilities include but are not limited 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.
• Participate in 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:

• HS Diploma/GED and 15-20 years or AS/AA and 13-18 years or BS/BA and 7-12 years or MS/MA/MBA and 5-9 years or PhD/Doctorate and 3-7 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, and proficiency with SQL programming.
• Proficiency with statistical software packages including SAS, SPSS Modeler, R, WEKA, or equivalent.
• Experience with pattern recognition and extraction, automated classification, and categorization and experience with entity resolution (e.g., record linking, named entity matching, deduplication/disambiguation).
• Experience with unsupervised and supervised machine learning techniques and methods and performing data mining, analysis, and training set construction.
• Experience with supervised machine learning methods including Decision Trees, Support Vector Machines, Logistic Regression, Random/Rotation Forests, Categorization/Classification, Neural Nets, Bayesian Networks, etc.
   

Preferred Qualifications:

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

• Must be a U.S. Citizen and be able to obtain and maintain a CBP suitability prior to starting this position.
   

Physical Requirements:

• The person in this position needs to occasionally move about inside the office to access file cabinets, office machinery, or to communicate with co-workers, management, and customers, which may involve delivering presentations.