Senior Data Scientist – TS/SCI

Ninja Analytics, Inc.

. Lead the development and delivery of high-quality predictive modeling solutions .

Posted 11/7/2026full-timeAshburn • Virginia • United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and deploying predictive modeling solutions using machine learning algorithms and advanced analytics. Proficient in data mining, analysis, and visualization techniques to inform decision-making in national and homeland security contexts.

Highest-signal resume keywords

Machine Learning Model DevelopmentPredictive Analytics SolutionsData Mining and AnalysisSQL ProgrammingTop Secret Security Clearance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Predictive ModelingMachine Learning AlgorithmsData Collection and MiningStatistical AnalysisPattern RecognitionEntity ResolutionExploratory Data AnalysisFeature GenerationProgramming in R, Python, Scala, JavaAutomated Classification

Soft Skills

CollaborationCommunicationProject Management

Tools & Technologies

SASSPSS ModelerWEKATableauPowerBIHadoopSparkKafkaD3Business Objects

Certifications & Qualifications

Top Secret Security Clearance

Industry Keywords

National SecurityHomeland SecurityQuantitative MethodsRisk AssessmentBig Data Technologies

Tech Stack

Tools & technologies

D3.jsHadoopHBaseHDFSJavaKafkaMapReducePythonScalaSparkSQLTableau

About the role

Key responsibilities & impact

Lead the development and delivery of high-quality predictive modeling solutions
Apply quantitative methods, machine learning algorithms, and predictive models to complex national and homeland security challenges
Leverage large structured and unstructured datasets to develop and operationalize models, tools, and applications for optimized decision-making
Perform data collection, mining, data and text analytics, clustering analysis, pattern recognition and extraction, automated classification and categorization, and entity resolution
Develop automated risk assessment capabilities producing actionable insight for United States safety and security
Create intervention hypotheses and experiments; assess data needs and sources; determine analytical approaches; perform exploratory data analysis and feature generation
Collaborate with mission stakeholders to define and scope challenges and develop project plans, milestones, deliverables, work tracking, and risk mitigation strategies
Extract, clean, and transform CBP transactional and mission data to build predictive models and supporting documentation
Define and develop programming algorithms; train, evaluate, and deploy predictive analytics models informing mission decisions
Identify patterns and anomalies in large datasets; perform automated text/data classification, categorization, entity recognition, resolution, extraction, and named entity matching
Brief project management, technical design, and outcomes to technical and non-technical audiences, including senior government stakeholders, through written and in-person reporting

Requirements

What you’ll need

Bachelor’s Degree required in operations research, industrial engineering, mathematics, statistics, computer science/engineering, or another related technical field, with equivalent practical experience
Master’s or Ph.D. degree preferred
12+ years of related experience
Experience developing machine learning models and applying advanced analytics solutions to complex business problems
Experience with R, Python, Scala, and Java
Proficiency with SQL programming
Experience constructing and executing queries for exploratory data analysis 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, including record linking, named-entity matching, deduplication, and disambiguation
Experience with unsupervised and supervised machine learning techniques and methods
Experience performing data mining, analysis, and training set construction
Selected applicants must be a US Citizen
Must be able to obtain and maintain a Top Secret Security Clearance
Desired: proficiency with unsupervised machine learning methods, including cluster analysis, segmentation, and related techniques
Desired: proficiency with supervised machine learning methods, including decision trees, support vector machines, logistic regression, random/rotation forests, categorization/classification, neural networks, and Bayesian networks
Desired: experience with visualization tools including Periscope, Business Objects, D3, ggplot, Tableau, SAS Visual Analytics, or PowerBI
Desired: experience with big data technologies including Hadoop, HIVE, HDFS, HBase, MapReduce, Spark, Kafka, or Sqoop

Benefits

Comp & perks

Hybrid work, both in office and working from home
Fully funded active project