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ITC Federal · 4 weeks ago

Senior Data Scientist - NCIS - Active TS/SCI Clearance Required

Quantico, VA

Full-time

Onsite

Senior Level, Lead/Staff

10+ years exp

ITC Federal is an information technology and consulting company focused on servicing the needs of the Federal Government. They are seeking a Senior Data Scientist to support the Naval Criminal Investigative Service (NCIS) in enhancing analytics capabilities and improving organizational performance through advanced analytics and predictive modeling.

Information TechnologySecurity

Work & Life Balance

No H1B

Security Clearance Required

U.S. Citizen Only

Responsibilities

Identify data-driven opportunities to improve NCIS organizational outcomes, workflows, and mission effectiveness

Collect, integrate, clean, and analyze large, complex, and disparate datasets

Design, build, and oversee predictive models, ML/AI pipelines, and advanced analytics algorithms

Perform data exploration, data preparation, and feature engineering to support model development

Develop solutions for risk modeling, quality assessment, and mission-critical decision support

Apply advanced ML techniques including text analytics, NLP, computer vision, graph analytics, deep learning, and other specialized methods

Communicate insights through compelling data stories, visualizations, and executive-level briefings

Lead mid-level data science staff in executing analytic project tasks and best practices

Operate using agile approaches and implement DevOps/MLOps techniques to automate and optimize ML pipelines

Build and maintain models across cloud, on-prem, and hybrid environments

Utilize distributed computing and high-performance computing (HPC) tools as needed for large-scale data processing

Support NCIS leadership with analytics that enhance operational visibility, threat detection, investigations, and resource prioritization

Qualification

Data ScienceMachine LearningStatisticsProgramming RProgramming PythonSQL/NoSQLHPC/Distributed ComputingML PipelinesData VisualizationAgile MethodologiesInformation Security KnowledgeDocumentation Skills

Required

TS/SCI adjudicated clearance required at start of contract

Bachelor's or Master's degree in Computer Science, Data Science, Operations Research, Statistics, Applied Mathematics, or related quantitative field

Equivalent experience in economics, engineering, or physics also acceptable

Minimum 10 years of relevant professional experience

3–6 years mid-level experience launching, planning, and executing full lifecycle data science projects

Experience in risk modeling and/or quality assessment strongly preferred

Deep technical expertise in: Statistics and machine learning, Programming languages (R, Python, Java, C++, MATLAB, etc.), SQL/PL-SQL and modern NoSQL / Hadoop-oriented technologies (e.g., MongoDB, Cassandra), HPC/distributed computing (MapReduce, Hadoop, Hive, Kafka, Spark), Containerization and orchestration (Docker, Kubernetes, AWS ECS)

Experience deploying ML pipelines across cloud, on-premise, and hybrid environments

Hands-on experience with commercial or open-source analytical platforms such as: RStudio, Spark, KNIME, RapidMiner, Dataiku, Alteryx, H2O, SAS EM/SAS VDMML, Azure ML, IBM Watson Studio, Amazon SageMaker, Google Cloud ML, SAP Predictive Analytics

Expertise in statistical and data mining techniques such as: GLM/regression, random forest, boosting, clustering, Text mining, NLP, deep learning (CNN, RNN), t-SNE, Graph analytics

Strong documentation skills and ability to communicate technical findings to non-technical audiences

Knowledge of information security, information assurance, IT, and cyber defense best practices