Senior Data Scientist

Pursuit Aerospace

. Build data, analytics, and AI solutions supporting SIOP transformation and business impact on inventory and customer service .

Posted 10/10/2026full-timeRemote • United StatesSenior💰 $116,250 - $174,375 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and deploying machine learning, statistical, and time-series models to solve complex business problems, with a strong focus on data transformation and analytics in cloud environments. Proficient in SQL and Python, with a solid understanding of supply chain analytics and the ability to translate analytical results into actionable business insights.

Highest-signal resume keywords

Machine Learning DevelopmentSQL ProficiencyPython ProgrammingData TransformationSupply Chain Analytics

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningStatistical ModelingTime-Series AnalysisData AnalysisData TransformationETL/ELT Pipeline DesignPredictive AnalyticsPrescriptive AnalyticsGenerative AI SolutionsLarge Language Model Development

Soft Skills

CollaborationProblem-SolvingCommunicationAdaptabilityContinuous Improvement

Tools & Technologies

AWSSnowflakeSparkS3CI/CDAPIsERP SystemsData LakesAnalytical ApplicationsDashboards

Industry Keywords

Supply Chain ManagementAerospaceManufacturingITAR/EAR RegulationsDemand ForecastingInventory ManagementProduction PlanningOperational EfficiencyData QualityAnalytics Operations

Tech Stack

Tools & technologies

AWSAzureCloudERPETLGoogle Cloud PlatformPythonSparkSQL

About the role

Key responsibilities & impact

Build data, analytics, and AI solutions supporting SIOP transformation and business impact on inventory and customer service
Develop machine learning, statistical, forecasting, and time-series models for operational and business problems
Support inventory optimization, demand forecasting, clear-to-build analytics, on-time delivery, production planning, operational efficiency, and cost reduction
Perform exploratory analysis, feature engineering, model selection, validation, optimization, deployment, and performance monitoring
Develop predictive, prescriptive, Generative AI, and Large Language Model solutions where they provide measurable business value
Independently build end-to-end data science products from problem definition and data preparation through modeling, application development, deployment, and adoption
Develop analytical datasets and transformation workflows using Python and SQL
Clean, transform, and integrate large datasets across enterprise systems
Develop dashboards, analytical applications, APIs, and decision-support tools
Build production-quality solutions with testing, version control, monitoring, documentation, and maintainability
Leverage AWS, Snowflake, Spark, S3, and related cloud and data technologies
Design data science solutions integrating with data lakes, ETL/ELT, streaming data, APIs, and cloud-native data platforms
Collaborate with Product, Engineering, Operations, Supply Chain, and business stakeholders
Partner with cross-functional leaders to scope problems and deliver measurable improvements in inventory, on-time delivery, and cost
Maintain accurate and reliable production analytics assets and manage analytics operations
Improve data quality and integrity through continuous improvement frameworks
Translate analytical results into decision-ready recommendations and drive adoption across the business
Travel 10–20%, with working conditions also stating travel between locations or suppliers up to 25%

Requirements

What you’ll need

Bachelor’s degree
4+ years in a data science role solving complex business problems and independently building robust solutions that improve outcomes
4+ years of hands-on experience using SQL and Python for data analysis, data transformation, and analytical solution development
4+ years of experience developing machine learning, demand forecasting, or time-series models
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
Proficient in SQL, Python, ML modeling, and time-series analytics
Experience independently developing and deploying machine learning, statistical, or time-series forecasting models
Experience working with large, complex, and imperfect datasets
Experience designing and implementing data models and ETL/ELT pipelines in modern cloud data environments such as Snowflake, AWS, Azure, or GCP
Experience developing production-quality analytical or machine learning solutions using testing, version control, CI/CD, monitoring, and documentation
Experience with AI-assisted product development and AI tools
Supply chain analytics knowledge such as demand forecasting, demand sensing, inventory management, and clear-to-build reporting
Aerospace and/or manufacturing experience
Familiarity with ERP systems and purchase order, production order, and inventory data
Mobility in a manufacturing plant environment while using Personal Protective Equipment
Ability to frequently sit, stand, and walk
Ability to lift and carry up to 15 pounds
Ability to sit at a desk and work on a computer for prolonged periods
Ability to travel between locations or to suppliers

Benefits

Comp & perks

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