Data Scientist

Vantor

. Lead development of statistical and machine learning models for the FALCON effort .

Posted 9/15/2026full-timeRemote • United StatesMid-LevelSenior💰 $135,000 - $170,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and implementing statistical and machine learning models, with a strong focus on time series and geospatial data analysis. Proficient in data visualization, algorithm performance evaluation, and collaborative work in agile environments.

Highest-signal resume keywords

Machine Learning TechniquesStatistical AnalysisPython ProgrammingData VisualizationAgile Methodologies

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Statistical TestingRegression AnalysisTime Series AnalysisGeospatial Data ProcessingFeature EngineeringClassifier OptimizationAnomaly DetectionData CleansingETL ActivitiesAlgorithm Development

Soft Skills

Team LeadershipCollaborationCommunication

Tools & Technologies

PythonPandasNumPyScikit-LearnMatplotlibSciPyPostgreSQLHDFSGitPyTorch

Certifications & Qualifications

Top Secret Security ClearanceCBP/DHS Suitability

Industry Keywords

Data ScienceData AnalyticsMachine LearningStatistical ModelsData VisualizationAgile ScrumKanbanDeep LearningRadar DataData Correlation

Tech Stack

Tools & technologies

ETLHDFSKerasNumpyPandasPostgresPythonPyTorchScikit-LearnTensorflow

About the role

Key responsibilities & impact

Lead development of statistical and machine learning models for the FALCON effort
Derive models to detect kinematic behaviors using live and historical data
Develop and run simulations to inform development approaches for incorporating analytics into the system
Support research, development, and sustainment of mission-focused software applications, backend services, APIs, data workflows, and analytical capabilities
Create and refine software applications and maintain and enhance custom applications
Troubleshoot defects and improve performance
Contribute to code reviews and technical documentation
Lead teams in designing analytic solutions that meet customer needs
Enhance analytic solutions for quality and performance
Integrate data from multiple sources to create a common operating picture
Select and implement statistical analyses and scoring metrics to evaluate algorithm performance
Create training and test datasets from multiple sources
Perform data cleansing, validation, and ETL activities
Produce analytic reports and presentations for internal and external stakeholders
Implement data visualization for analysis, presentations, and end-user UI needs
Perform feature engineering, classifier optimization, event forecasting, and anomaly detection
Interface with external stakeholders to decompose data science mission needs
Document data science processes, results, and approaches
Select and implement machine learning algorithms to enhance or compete with existing algorithms
Collaborate with software engineers, data scientists, analysts, and customer stakeholders in an agile, remote-first environment

Requirements

What you’ll need

Must be a US citizen
Current Top Secret security clearance and/or CBP/DHS suitability
Good working knowledge of Python and pandas, numpy, scikit-learn, matplotlib, and scipy
Experience processing, cleaning, and analyzing time series and/or geospatial data
Strong statistical background in statistical testing, regression, and probability
3+ years of professional experience applying machine learning techniques to time series and/or geospatial data
3+ years of professional experience with databases/data file systems such as PostgreSQL and HDFS
3+ years of professional experience with version control systems such as Git
3+ years of professional experience with time series event forecasting
Ability to understand and integrate new machine learning algorithms and technologies
Bachelor’s degree in Data Science, Data Analytics, Computer Science, Physics, Mathematics, or a related discipline, with 5+ years of industry experience in data science
Experience with scoring and measuring algorithm performance
Data visualization of multi-source, multi-dimensional data and analytic results in real time and presentations
Experience conducting model feasibility research and machine learning algorithm development
Wide breadth of experience with machine learning algorithms and approaches
Current knowledge of industry trends and ability to articulate trends and potential clearly and confidently
Experience working on teams using Agile Scrum or Kanban
Preferred: Master’s degree
Preferred: Experience with deep learning technologies such as PyTorch, Keras, and TensorFlow
Preferred: Experience with radar data
Preferred: Experience with data correlation

Benefits

Comp & perks

Robust 401(k) with company match
Mental health resources
Student loan repayment assistance
Adoption reimbursement
Pet insurance
Competitive total rewards package