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Data Scientist Subject Matter Expert

Job in Boise, Ada County, Idaho, 83701, USA
Listing for: ManTech International
Full Time position
Listed on 2026-08-22
Job specializations:
  • IT/Tech
    Data Scientist, Machine Learning/ ML Engineer, Data Analyst, Data Engineering
Salary/Wage Range or Industry Benchmark: 171000 - 284000 USD Yearly USD 171000.00 284000.00 YEAR
Job Description & How to Apply Below

Man Tech is seeking a highly motivated and career-oriented Data Scientist Subject Matter Expert to help lead the development and delivery of high-quality predictive modeling solutions for our CBP customer. This position is currently on a telework schedule. All candidates wishing to be considered must reside within a commutable distance to Northern Virginia.

Responsibilities include but are not limited to:

  • Lead and perform hands-on data and threat/intel analysis leading to development of analytics solutions (e.g. predictive models, visual analytics reports), to support CBP users conduct law enforcement mission critical activities.
  • Collaborate with mission stakeholders to define, frame, and scope mission challenges where big data interventions may offer important mitigations to project schedules and outcomes.
  • Demonstrate proficiency in extracting, cleaning, and transforming CBP transactional and associated data sets 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 to develop, evaluate, and deploy new predictive analytical models that directly inform mission decisions.
  • Utilize and explore variety of statistical/modeling tools and languages to compare and assess best performing Machine Learning results.
  • 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.

Required 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.
  • Proficiency with SQL programming
  • Experience constructing and executing queries to extract data in support of EDA and model development
  • 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)
  • Experience with unsupervised and supervised machine learning techniques and methods
  • Experience performing data mining, analysis, and training set construction

Preferred Qualifications:

  • Experience/Proficiency in conducting development and integration activities to deploy, assess and update Machine Learning models into applications for end-user use and evaluation.
  • 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
  • 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, Map Reduce, Spark, Kafka, Sqoop)
  • Master’s Degree in mathematics, statistics, computer science/engineering, or other related technical fields with equivalent practical experience

Education Requirements:

  • A PhD and 7 years of relevant experience, a Master’s and 9 years of relevant experience, a Bachelors and 12 years of relevant experience or 18 years of relevant experience is required.

Clearance requirements:

  • Selected applicants must be a US Citizen and able to…
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