ManTech International Corporation
Data Scientist
ManTech International Corporation, Hamilton, Virginia, United States, 22068
Description & Requirements
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 legal, safe, and secure.
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). 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. Minimum Qualifications
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. Preferred Qualifications
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) 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 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) Experience with big data technologies (e.g., Hadoop, HIVE, HDFS, HBase, MapReduce, Spark, Kafka, Sqoop) Clearance Requirements:
Selected applicants must be a US Citizen and able to obtain and maintain a U.S. Customs and Border Protection (CBP) suitability. Must have the ability to obtain and maintain a Top Secret (TS) clearance. 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.
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.
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 legal, safe, and secure.
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). 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. Minimum Qualifications
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. Preferred Qualifications
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) 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 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) Experience with big data technologies (e.g., Hadoop, HIVE, HDFS, HBase, MapReduce, Spark, Kafka, Sqoop) Clearance Requirements:
Selected applicants must be a US Citizen and able to obtain and maintain a U.S. Customs and Border Protection (CBP) suitability. Must have the ability to obtain and maintain a Top Secret (TS) clearance. 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.
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.