[Hiring] Data Scientist @Pursuit Aerospace

Role Description

The Data Scientist will support the development of data, analytics, and AI solutions for SIOP (Sales, Inventory, Operations Planning) transformation and help deliver measurable business impact on inventory and customer service. This role is designed for an early-career data scientist who is eager to build strong technical and business skills while contributing to practical solutions in a complex manufacturing environment.

Responsibilities

• Data Science & Machine Learning
  • Develop machine learning, statistical, forecasting, and time-series models with guidance from senior team members.
  • Support analytical solutions for key business areas including inventory optimization, demand forecasting, clear-to-build analytics, on-time delivery, production planning, operational efficiency, and cost reduction.
  • Perform exploratory data analysis, data cleaning, feature engineering, model development, validation, and performance evaluation.
  • Analyze operational datasets and translate findings into clear insights and recommendations for business stakeholders.
  • Support the development of AI-powered applications and tools, including Generative AI and Large Language Model solutions where they provide measurable business value.
• Data Science Solutions & Analytics
  • Contribute to end-to-end data science projects, from business problem definition and data preparation through modeling, testing, visualization, and deployment, with guidance from senior team members.
  • Develop and maintain analytical datasets and data transformation workflows using Python and SQL to support machine learning and advanced analytics.
  • Work with data from multiple enterprise systems to identify, clean, transform, validate, and integrate data required for analytical solutions.
  • Develop dashboards, analytical applications, or decision-support tools that help business users consume model outputs and analytical insights.
  • Follow team standards for testing, version control, documentation, monitoring, and maintainable analytical code.
• Data & Technology Collaboration
  • Use modern cloud and data technologies such as Snowflake, AWS, Azure, Spark, S3, or related services to support analytical and machine learning solutions.
  • Build working knowledge of modern data architecture concepts including data lakes, ETL/ELT, APIs, and cloud-native data platforms.
  • Collaborate with Product, Engineering, Operations, Supply Chain, and business stakeholders to understand business requirements and translate them into practical analytical work.
  • Support high-impact analytics by helping scope business questions and develop solutions that improve metrics such as inventory, on-time delivery, and cost.
  • Contribute to data products including analytical datasets, Snowflake tables, forecasting and time-series models, inventory and clear-to-build analytics, dashboards, and AI-powered tools.
  • Help maintain analytics assets by validating outputs, identifying data or model issues, documenting solutions, and supporting continuous improvement.
  • Improve data quality by profiling large and imperfect operational datasets, investigating issues, and helping build well-structured, trusted analytical datasets.
  • Communicate analytical results clearly and work with business partners to support adoption of data-driven tools and recommendations.

Qualifications

• 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.

Preferred Qualifications

• Bachelor’s degree in data science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field.
• Master’s degree in a quantitative or technical field.
• Experience developing or evaluating at least one machine learning, statistical, forecasting, or time-series model through work, internships, research, or academic projects.
• Working knowledge of SQL and Python and familiarity with machine learning, statistical modeling, or time-series analytics.
• Exposure to Snowflake, AWS, Azure, GCP, Spark, data pipelines, Git/GitHub, CI/CD, or other modern data and cloud technologies.
• Experience through coursework, internships, research, or projects developing machine learning, statistical, or forecasting models and evaluating model performance.
• Experience working with real-world or imperfect datasets, including data exploration, cleaning, transformation, feature engineering, and data-quality checks.
• Familiarity with data models, ETL/ELT concepts, or cloud data environments such as Snowflake, AWS, Azure, or GCP.
• Familiarity with software development practices such as testing, version control, documentation, and code review.
• Interested in AI-assisted development and Generative AI tools for coding, analysis, documentation, or analytical applications.
• Exposure to supply chain analytics such as demand forecasting, demand sensing, inventory management, production planning, or clear-to-build reporting.
• Internship, academic, or professional exposure to aerospace, manufacturing, or industrial operations.
• Familiarity with ERP concepts or datasets such as purchase orders, production orders, inventory, demand, or shipments.

Working Conditions

• 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

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

Equal Opportunity Employer

Pursuit Aerospace is an Equal Opportunity Employer. We adhere to all applicable federal, state, and local laws governing nondiscrimination in employment. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.