Senior Data Scientist

🔥 1 minute ago

🇺🇸 United States – Remote

💵 $116.3k - $174.4k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

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Pursuit Aerospace

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🚀 Aerospace

🏭 Manufacturing

🤝 B2B

💰 Private equity on 2023-03

Aerospace • Manufacturing • B2B

Pursuit Aerospace is a global manufacturer of complex aircraft engine components developed through highly integrated processes. The company provides full-service, in-house capabilities — including precision machining, casting, inspection, special processes, and MRO — aimed at delivering a trusted supply chain for aerospace customers. Pursuit emphasizes continual improvement of people, processes, and products and operates multiple facilities across the United States, Canada, the UK, Mexico, and Tunisia.

📋 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