Data Scientist

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🐊 Florida, Texas – Remote

🐊 Florida – Remote 🤠 Texas – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

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AAR

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

💰 Post-IPO Debt on 2022-12

AAR is an independent provider of services to the commercial aviation and government markets worldwide. The company was incorporated in 1955 and today has revenues of approximately $1.8 billion with more than 6,000 employees in 20 countries. AAR’s aftermarket expertise and award-winning aviation services, which can be integrated or leveraged separately, help customers increase efficiency and reduce costs while maintaining high levels of quality, service and safety. We are a trusted partner to customers in over 100 countries delivering competitiveness so they can focus on transporting passengers, cargo and parts around the world.

📋 Description

• Extract, analyze, and interpret complex structured and unstructured datasets to generate actionable insights for internal stakeholders and external clients • Lead the design, development, validation, and deployment of predictive, statistical, and machine learning models that solve high-impact business problems • Design and implement data models and algorithms supporting forecasting, optimization, anomaly detection, personalization, and decision automation • Partner with product, engineering, and business teams to identify high-value opportunities where data science can drive measurable outcomes • Translate analytical insights into production-grade data products, APIs, and scalable solutions • Design and execute experiments (A/B testing, hypothesis testing) and deliver clear, data-driven recommendations • Develop dashboards, visualizations, and self-service analytics tools to democratize insights across technical and non-technical users • Analyze data to improve product performance, operational efficiency, customer experience, and revenue outcomes • Evaluate new data sources and data collection methodologies to ensure quality, accuracy, and relevance • Build frameworks and processes to monitor model performance, drift, and data integrity over time • Document methodologies, assumptions, and results to ensure transparency, reproducibility, and knowledge sharing • Communicate insights and recommendations effectively to senior leadership and cross-functional stakeholders

🎯 Requirements

• Bachelor’s degree in engineering, Mathematics, Statistics, Machine Learning, Analytics, Information Systems, or a related quantitative field; Master’s degree strongly preferred • 5–7+ years of experience in data science, advanced analytics, or related roles delivering production-grade data solutions • Advanced proficiency in Python for data analysis and machine learning (pandas, NumPy, scikit-learn, XGBoost, etc.) • Expert-level SQL skills for complex data querying, transformation, and performance optimization • Strong experience with machine learning techniques, including supervised/unsupervised learning, feature engineering, and model evaluation • Solid foundation in statistics, including experiment design, hypothesis testing, and inferential analysis • Experience with big data technologies and distributed systems (Spark, Hadoop, Hive, Presto, etc.) • Hands-on experience with containerization and environment management (Docker, Conda) and modern data pipelines • Proven track record of deploying and maintaining models in production environments • Experience with cloud platforms (AWS, Azure, or GCP) for data and ML workloads • Experience with data visualization / BI tools (Tableau, Power BI, or similar) • Strong communication skills with the ability to translate complex analyses into clear business insights.

🏖️ Benefits

• Health insurance • 401(k) matching • Flexible work hours • Paid time off • Remote work options