Data Scientist

Vantor

. Lead the team in designing analytic solutions that meet customer needs .

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 machine learning techniques, statistical analysis, and data visualization to develop and enhance analytic solutions. Proficient in integrating multi-source data and producing actionable insights for stakeholders in a collaborative, agile environment.

Highest-signal resume keywords

Machine Learning TechniquesStatistical AnalysisData VisualizationPython ProgrammingAgile Methodologies

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine Learning AlgorithmsStatistical TestingData CleansingTime Series AnalysisGeospatial Data AnalysisFeature EngineeringClassifier OptimizationEvent ForecastingData IntegrationAlgorithm Performance Evaluation

Soft Skills

Strong Communication SkillsMultitaskingTime ManagementCollaboration

Tools & Technologies

PythonPandasNumPyScikit-LearnMatplotlibSciPyPostgreSQLHDFSGitDeep Learning Technologies

Certifications & Qualifications

Top Secret Security ClearanceCBP/DHS Suitability

Industry Keywords

Data ScienceData AnalyticsAgile ScrumKanbanRadar DataData Correlation

Tech Stack

Tools & technologies

ETLHDFSKerasNumpyPandasPostgresPythonPyTorchScikit-LearnTensorflow

About the role

Key responsibilities & impact

Lead the team in designing analytic solutions that meet customer needs
Enhance existing analytic solutions to ensure 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 to enhance algorithms
Perform data cleansing, validation, and other ETL functions
Produce analytic reports and presentations for internal and external stakeholders
Identify and implement data visualizations 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 describing data science processes, results, and approaches
Select and implement machine learning algorithms to enhance or compete with existing algorithms
Research, develop, and sustain mission-focused software applications, backend services, APIs, data workflows, and analytical capabilities
Maintain and enhance custom applications, troubleshoot defects, improve performance, contribute to code reviews and technical documentation, and deliver reliable capabilities in an agile, remote-first environment
Collaborate with software engineers, data scientists, analysts, and customer stakeholders to build applications and data pipelines supporting operational awareness and data-driven decision-making

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 related discipline with 5+ years of industry experience in data science
Experience 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
Strong verbal and written communication skills
Ability to multitask, prioritize, and manage time efficiently

Benefits

Comp & perks

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