Senior Data Scientist

Vantor

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

Posted 9/15/2026full-timeRemote • United StatesSenior💰 $170,000 - $200,000 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 processing, visualization, and collaboration within agile environments to deliver high-quality analytic solutions.

Highest-signal resume keywords

Machine Learning TechniquesTime Series Event ForecastingData VisualizationStatistical AnalysisPython Programming

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Statistical TestingRegressionProbabilityFeature EngineeringClassifier OptimizationAnomaly DetectionData CleansingETL FunctionsAlgorithm DevelopmentData Processing Workflows

Soft Skills

Strong Verbal CommunicationStrong Written Communication

Tools & Technologies

PythonPandasNumPyScikit-learnMatplotlibSciPyPostgreSQLHDFSGitDeep Learning Technologies

Certifications & Qualifications

Top Secret Security ClearanceCBP/DHS Suitability

Industry Keywords

Data ScienceData AnalyticsAgile ScrumKanbanGeospatial DataKinematic BehaviorsAnalytic SolutionsMulti-Dimensional DataRadar DataMachine Learning Algorithms

Tech Stack

Tools & technologies

ETLHDFSKerasNumpyPandasPostgresPythonPyTorchScikit-LearnTensorflow

About the role

Key responsibilities & impact

Lead the 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 approaches for incorporating analytics into the system
Support development and sustainment of mission-focused software applications, backend services, APIs, data processing workflows, and analytical capabilities
Create and refine software applications, maintain and enhance custom applications, troubleshoot defects, 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 functions
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
Produce documentation covering 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
Master’s in Data Science, Data Analytics, Computer Science, Physics, Mathematics, or related discipline with 5+ years of industry data science experience, or a Bachelor’s with 10+ years of experience
7+ years of professional experience applying machine learning techniques to time series and/or geospatial data
7+ years of professional experience with databases/data file systems such as PostgreSQL and HDFS
7+ years of professional experience with version control systems such as Git
7+ years of professional experience with time series event forecasting
Good working knowledge of Python, 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
Experience correlating data from different sensors into one track
Ability to understand and integrate new machine learning algorithms and technologies
Experience scoring and measuring algorithm performance
Data visualization of multi-source, multi-dimensional data and analytic results
Experience conducting model feasibility research and algorithm development for machine learning
Wide breadth of experience with machine learning algorithms and approaches
Experience working on Agile Scrum or Kanban teams
Strong verbal and written communication skills
Preferred: PhD
Preferred: 3+ years of professional experience with deep learning technologies (PyTorch, Keras, TensorFlow)
Preferred: 3+ years of professional experience with radar data

Benefits

Comp & perks

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