MANTECH seeks a SME Data Scientist to join their team in Ashburn, VA to help U.S. Customs and Border Protection (CBP) manage the massive flow of people, capital, and products entering and departing the United States by applying "big data" solutions to promote efficient trade and travel.
Requirements
- Experience with programming languages including R, Python, Scala, Java, and proficiency with SQL programming and proficiency with statistical software packages including SAS, SPSS Modeler, R, WEKA, or equivalent.
- 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 and experience in developing machine learning models and applying advanced analytics solutions to solve complex business problems.
- Experience performing data mining, analysis, and training set construction.
- Experience with unsupervised and supervised machine learning techniques and methods including 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. and 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 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).
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.
- Experience with big data technologies (e.g., Hadoop, HIVE, HDFS, HBase, MapReduce, Spark, Kafka, Sqoop).
Other
- This is a hybrid position with 2 days onsite and 3 days remote.
- Must be a U.S. Citizen and be able to obtain and maintain a CBP suitability.
- High level of self-motivation, desire to deliver stellar solutions and willingness to work in a distributed team environment.
- 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.
