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    ManTech

    Journeyman Data Scientist

    ManTech
    Full-time
    Verified Remote
    USAGeneralToday

    About this role

    General information

    Requisition # R67858

    Locations USA-VA-Ashburn

    Posting Date 05/22/2026

    Security Clearance Required Public Trust/Suitability

    Remote Type Fully Remote

    Time Type Full time

    Description & Requirements

    Unlock the secrets of intelligence with MANTECH! Join a dynamic team at the forefront of national security, providing advanced solutions to government intelligence agencies. Since 1968, we’ve been solving the toughest challenges with groundbreaking tech. Explore thrilling projects in Digital Transformation, Cybersecurity, IT, Data Analytics and Software Development. Elevate your career and make a difference. Your adventure begins now—unleash your potential with MANTECH!

    MANTECH seeks a motivated, career- and customer-oriented Journeyman 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. These solutions provide CBP personnel with additional tools to evaluate potential threats from legitimate 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).

    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:

    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

    Preferred Qualifications

    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)

    Clearance Requirements:

    Must be a U.S. citizen with the ability to obtain DHS 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.

    MANTECH considers all qualified applicants for employment without regard to disability or veteran status or any other status protected under any federal, state, or local law or regulation. If you need a reasonable accommodation to apply for a position with MANTECH, please email us at careers@mantech.com and provide your name and contact information.

    About ManTech

    ManTech
    ManTech

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