MANTECH is seeking a motivated Data Scientist to join their innovative team. The role involves performing hands-on analysis and modeling to support U.S. Customs and Border Protection in evaluating potential threats from legitimate trade and travel using big data solutions.
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)
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
Qualification
Required
HS Diploma/GED and 6-15 years or AS/AA and 4-13 years or BS/BA and 2-7 years or MS/MA/MBA and 0-5 years or PhD/Doctorate and 0-3 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
Experience with SQL programming
Experience constructing and executing queries to extract data in support of EDA and model development
Experience with unsupervised and supervised machine learning techniques and methods
Experience performing data mining, analysis, and training set construction
Must be a U.S. citizen with the ability to obtain DHS CBP suitability prior to starting this position
Preferred
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 and with entity resolution (e.g., record linking, named entity matching, deduplication/ disambiguation)
Experience with visualization tools and techniques (e.g., Periscope, Business Objects, D3, Tableau, SAS Visual Analytics, PowerBI)
Experience with big data technologies (e.g., Hadoop, HIVE, HDFS, HBase, MapReduce, Spark, Kafka, Sqoop)
Benefit
This is a hybrid position with 2 days onsite and 3 days remote.
MANTECH is a technology company that offers cyber, IT, and data analytics technologies and solutions for security programs.
