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Delta Air Lines
United States, Georgia, Atlanta
Source: Delta Air Lines careers · View original posting
From Delta Air Lines's posting. “We” and “our” refer to the employer.
The Foundry Solutions Engineer develops advanced analytics, machine learning, and decision-support solutions that enable data-driven operational and strategic decisions across TechOps. This role exists to transform complex maintenance, workforce, reliability, and operational data into scalable intelligence products, predictive models, and AI-enabled applications that improve planning accuracy, resource utilization, and business performance.
Develop and deploy advanced analytics, machine learning, and decision intelligence solutions that improve operational planning, workforce forecasting, maintenance strategy, and business performance across TechOps.
Design, build, and maintain scalable data products, data pipelines, semantic models, and applications within the Palantir Foundry ecosystem to support enterprise decision making.
Develop predictive, prescriptive, and optimization models that evaluate operational scenarios, forecast future demand, and identify opportunities to improve resource utilization and operational efficiency.
Partner with maintenance, engineering, operations, finance, workforce planning, and technology stakeholders to translate business requirements into analytical solutions and actionable insights.
Evaluate and implement emerging analytics, machine learning, automation, and artificial intelligence capabilities to enhance operational performance and decision quality.
Present analytical findings, recommendations, and model outputs to business leaders and stakeholders, supporting data-driven strategic and operational decision making.
Ensure data quality, model integrity, governance, documentation, and continuous improvement of analytical tools, applications, and decision-support capabilities.
Is at least 18 years of age and has authorization to work in the United States.
Possesses a high school diploma, GED, or high school equivalency.
Embraces diverse people, thinking, and styles.
Consistently prioritizes safety and security of self, others, and personal data.
Bachelor's degree in Data Science, Computer Science, Engineering, Mathematics, Statistics, Operations Research, Analytics, Information Systems, or a related quantitative field (or equivalent experience).
Minimum 2 years of experience developing advanced analytics, machine learning, forecasting, optimization, decision-support, or data science solutions in a complex business or operational environment.
Experience using SQL, Python, and modern data platforms to acquire, transform, analyze, and model large datasets.
Experience translating ambiguous business problems into analytical solutions, data products, and actionable recommendations.
Experience developing and deploying scalable analytical applications, reports, dashboards, models, or decision-support tools.
Strong analytical, problem-solving, and quantitative reasoning skills with the ability to evaluate complex business challenges and identify data-driven solutions.
Ability to communicate technical concepts and analytical findings to both technical and non-technical audiences.
Experience collaborating with cross-functional stakeholders to deliver measurable business outcomes through data and analytics.
Experience developing machine learning, forecasting, optimization, decision science, or advanced analytics solutions to support business and operational decision-making.
Experience building analytical applications, data products, and decision-support solutions using Palantir Foundry or similar enterprise analytics platforms.
Experience supporting workforce planning, resource optimization, operational planning, maintenance planning, or other large-scale planning functions.
Experience applying artificial intelligence, automation, simulation, or scenario modeling techniques to solve complex business challenges.
Experience working in aviation, transportation, maintenance, logistics, supply chain, or other operationally complex environments.
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