Pursuit Aerospace
Pursuit Aerospace
Pursuit Aerospace manufactures complex aircraft engine components through integrated production processes. Its in-house capabilities span precision machining, casting, inspection, special processes, and maintenance, repair, and overhaul (MRO), giving aerospace customers a coordinated supply chain. The company operates facilities across the United States, Canada, the United Kingdom, Mexico, and Tunisia, and focuses on continually improving its people, processes, and products.

Senior Data Scientist, Supply Chain Analytics (Remote, US)

Develop machine learning, forecasting, and AI solutions for Pursuit Aerospace’s aircraft-component supply chain. Improve inventory, customer delivery, production planning, and cost outcomes.

विवरण

  • Create data, analytics, and AI solutions that advance SIOP transformation and improve inventory and customer service.
  • Build machine learning, statistical, forecasting, and time-series models for business and operational needs.
  • Improve inventory optimization, demand forecasting, clear-to-build analysis, on-time delivery, production planning, efficiency, and costs.
  • Carry out exploratory analysis, feature engineering, model selection, validation, optimization, deployment, and performance monitoring.
  • Develop predictive, prescriptive, generative AI, and large language model solutions when they offer measurable business value.
  • Build end-to-end data science products independently, from problem definition and data preparation through modeling, application development, deployment, and adoption.
  • Create analytical datasets and data transformation workflows with Python and SQL.
  • Clean, transform, and combine large datasets from enterprise systems.
  • Create dashboards, analytical applications, APIs, and decision-support tools.
  • Deliver production-ready solutions with testing, version control, monitoring, documentation, and maintainable code.
  • Use AWS, Snowflake, Spark, S3, and related cloud and data technologies.
  • Design data science solutions that connect with data lakes, ETL/ELT, streaming data, APIs, and cloud-native data platforms.
  • Work with Product, Engineering, Operations, Supply Chain, and business stakeholders.
  • Work with cross-functional leaders to define problems and deliver measurable gains in inventory, on-time delivery, and cost.
  • Keep production analytics assets accurate and reliable, and oversee analytics operations.
  • Raise data quality and integrity through continuous improvement practices.
  • Turn analytical findings into actionable recommendations and encourage their adoption across the business.
  • Travel 10–20%; working conditions also specify travel between locations or suppliers of up to 25%.

आवश्यकताएँ

  • Bachelor’s degree.
  • At least 4 years in data science, solving complex business problems and independently building robust solutions that improve outcomes.
  • At least 4 years of hands-on SQL and Python experience for data analysis, transformation, and analytical solution development.
  • At least 4 years of experience building machine learning, demand forecasting, or time-series models.
  • Authorization to work full-time in the U.S. without sponsorship now or in the future.
  • Ability to perform work subject to ITAR/EAR regulations.
  • Proficiency in SQL, Python, machine learning modeling, and time-series analytics.
  • Experience independently developing and deploying machine learning, statistical, or time-series forecasting models.
  • Experience working with large, complex, imperfect datasets.
  • Experience designing and implementing data models and ETL/ELT pipelines in cloud environments such as Snowflake, AWS, Azure, or GCP.
  • Experience delivering production-quality analytics or machine learning solutions with testing, version control, CI/CD, monitoring, and documentation.
  • Experience with AI-assisted product development and AI tools.
  • Knowledge of supply chain analytics, 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.
  • Ability to move around a manufacturing plant while using Personal Protective Equipment.
  • Ability to sit, stand, and walk frequently.
  • Ability to lift and carry up to 15 pounds.
  • Ability to sit at a desk and use a computer for extended periods.
  • Ability to travel between locations or to suppliers.

लाभ

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

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