Senior Data Scientist

Vantor

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

Posted 9/23/2026full-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 integration, while effectively collaborating in agile environments.

Highest-signal resume keywords

Machine Learning TechniquesData VisualizationStatistical AnalysisPython ProgrammingPostgreSQL Database

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Statistical TestingRegression AnalysisTime Series ForecastingFeature EngineeringClassifier OptimizationAnomaly DetectionData CleansingETL FunctionsAlgorithm Performance EvaluationDeep Learning Technologies

Soft Skills

Strong Communication SkillsTime ManagementMultitaskingCollaboration

Tools & Technologies

PythonPandasNumpyScikit-learnMatplotlibScipyGitHDFS

Certifications & Qualifications

Top Secret Security ClearanceCBP/DHS Suitability

Industry Keywords

Data ScienceData AnalyticsAgile ScrumKanbanGeospatial Data

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 system analytics approaches
Support mission-focused software applications, backend services, APIs, data processing workflows, and analytical capabilities
Create and refine software applications
Maintain and enhance existing 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
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
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
Master’s in Data Science, Data Analytics, Computer Science, Physics, Mathematics, or related discipline with 5+ years of industry experience in data science, 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 PostgreSQL, HDFS, or similar database/data file systems
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 machine learning algorithm development
Ability to multitask, prioritize, and manage time efficiently
Broad 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 Agile Scrum or Kanban teams
Strong verbal and written communication skills
Preferred: PhD
Preferred: 3+ years of experience with deep learning technologies such as PyTorch, Keras, and TensorFlow
Preferred: 3+ years of 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