Data Scientist

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🕒 Junho 5

🐊 Florida, Texas – Remoto

🐊 Florida – Remote 🤠 Texas – Remote

⏰ Tempo Integral

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📊 Cientista de Dados

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AAR

SiteLinkedInTodas as Vagas

5001 - 10000 funcionários

💰 Post-IPO Debt em 2022-12

A AAR é um fornecedor independente de serviços para os mercados de aviação comercial e governamental em todo o mundo. A empresa foi incorporada em 1955 e hoje tem receitas de aproximadamente 1,8 bilhão de dólares com mais de 6.000 funcionários em 20 países. A expertise da AAR no mercado de pós-venda e os serviços de aviação premiados, que podem ser integrados ou utilizados separadamente, ajudam os clientes a aumentar a eficiência e a reduzir custos, mantendo altos níveis de qualidade, serviço e segurança. Somos um parceiro de confiança para clientes em mais de 100 países, proporcionando competitividade para que possam se concentrar no transporte de passageiros, cargas e peças ao redor do mundo.

Descrição

• 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

🎯 Requisitos

• 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.

🏖️ Benefícios

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