Senior Data Scientist

Job Description:

• 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:

• 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:

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