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ManTech seeks a motivated, career and customer-oriented Data Scientist to support our DoD contract out of Reston, VA or Fort Belvoir, VA. 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 DTRA users conduct mission critical activities.
Demonstrate proficiency in extracting, cleaning, and transforming DTRA 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. Minimum Qualifications: 5+ years of experience in applied data science or ML roles, with strong Python skills and experience in NLP and LLM implementation
5+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining
Exposure to production-level systems, data lake environments, and streaming data (e.g. Kafka)
Experience implementing end-to-end ML workflows, from data prep to deployment and evaluation
Ability to quickly learn infrastructure or systems concepts (e.g. how pipelines interface with data lakes)
Ability to design, implement, and iterate on ML models for document classification, extraction, summarization, and search
Ability to take ownership of data science workflows that interact with a production system streaming millions of documents per week
Preferred Qualifications: Bachelors Degree
Experience collaborating with MLOps and infrastructure engineers to ensure robust model deployment, monitoring, and retraining pipelines
Experience supporting platform components such as distributed storage (e.g. Cloudera), documents indexing/search, and GPU workloads
Experience in the development of algorithms leveraging R, Python, or SQL/NoSQL
Experience with Distributed data/computing tools, including MapReduce, Hadoop, Hive, EMR, Spark, Gurobi, or MySQL Experience with visualization packages, including Plotly, Seaborn, or ggplot2
Clearance Requirement: Must have an active Top Secret / SCI
Physical Requirements: Sedentary Work
Date Posted: 13 June 2025
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