Data Scientist

Pursuit Aerospace

. Support the development of data, analytics, and AI solutions for SIOP transformation .

Posted 10/10/2026full-timeRemote • United StatesJunior💰 $82,000 - $123,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data science and analytics, with a strong focus on developing machine learning models, data transformation workflows, and analytical applications using Python and SQL. Capable of translating complex data insights into actionable business recommendations while adhering to ITAR/EAR regulations.

Highest-signal resume keywords

Data ScienceMachine LearningPythonSQLData Analysis

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data PreparationStatistical ModelingForecastingTime-Series AnalysisExploratory Data AnalysisFeature EngineeringPerformance EvaluationData CleaningData TransformationDashboard Development

Soft Skills

CollaborationCommunicationProblem-SolvingAnalytical ThinkingContinuous Improvement

Tools & Technologies

Generative AILarge Language ModelsSnowflakeDecision-Support ToolsAnalytical Applications

Industry Keywords

SIOP TransformationInventory AnalyticsOperational DataData QualityITAR/EAR Regulations

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Support the development of data, analytics, and AI solutions for SIOP transformation
Help deliver measurable business impact on inventory and customer service
Frame supply chain problems with senior team members and business partners
Prepare and analyze operational data
Develop and evaluate machine learning, statistical, forecasting, and time-series models
Perform exploratory data analysis, data cleaning, feature engineering, validation, and performance evaluation
Translate analytical findings into insights and recommendations for business stakeholders
Support AI-powered applications and tools, including Generative AI and Large Language Model solutions
Contribute to end-to-end data science projects from problem definition and data preparation through modeling, testing, visualization, and deployment
Develop and maintain analytical datasets and data transformation workflows using Python and SQL
Integrate data from multiple enterprise systems
Develop dashboards, analytical applications, and decision-support tools
Follow standards for testing, version control, documentation, monitoring, and maintainable code
Collaborate with Product, Engineering, Operations, Supply Chain, and business stakeholders
Contribute to data products including Snowflake tables, forecasting models, inventory analytics, dashboards, and AI-powered tools
Validate outputs, identify data or model issues, document solutions, and support continuous improvement
Improve data quality by profiling operational datasets and investigating issues
Communicate analytical results and support adoption of data-driven tools and recommendations

Requirements

What you’ll need

Bachelor’s degree
1+ years of experience in data science, analytics, engineering, or a related quantitative role using SQL and/or Python for data analysis, data preparation, or analytical solution development
Relevant internships, co-ops, or research experience may be considered
Must be authorized to work in the U.S. on a full-time basis without sponsorship now or in the future
Must be able to perform work subject to ITAR/EAR regulations
Requires mobility in a manufacturing plant environment while using Personal Protective Equipment
Must be able to frequently sit, stand and walk
Must be able to lift and carry up to 15 pounds
Must be able to have prolonged periods sitting at a desk and working on a computer
Must be able to travel between locations or to suppliers up to 25% of time

Benefits

Comp & perks

Health and disability insurance
401(k) match
Flexible spending accounts
Employee Assistance Program (EAP)
Paid time off
Company-paid holidays