Data Scientist

🕒 Março 20

🌲 Oregon – Remoto

🌲 Oregon – Remote

⏰ Tempo Integral

🟠 Sênior

🔴 Especialista

📊 Cientista de Dados

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SOSi

SiteLinkedInTodas as Vagas

1001 - 5000 funcionários

Fundada em 1989

🏛️ Governo

🤖 Inteligência Artificial

🔒 Cibersegurança

Government • Artificial Intelligence • Cybersecurity

A SOSi é uma contratante de defesa e inteligência voltada para o governo, que oferece infraestrutura digital essencial, IA/ML, cibersegurança, serviços de nuvem e inteligência para o Exército dos EUA e outras agências governamentais. A empresa fornece soluções em desenvolvimento de software, DevSecOps, integração ISR, ciência de dados, logística, serviços de idioma e humanos, treinamento e operações e manutenção para possibilitar comunicações seguras, análises avançadas e eficácia operacional para as forças dos EUA e aliadas.

Descrição

• Develop and refine predictive models • Conduct exploratory data analysis • Generate AI-driven insights to enhance intelligence and operational planning • Integrate customer feedback into model iteration cycles • Leverage Agile development methodologies to maintain responsiveness to mission requirements • Submit Predictive Model Performance Report documenting key findings, model accuracy metrics, and operational impact assessments • Implement sprint-based Agile methodologies • Provide Rough Order of Magnitude (ROM) Estimate Report before each analytics project • Conduct quarterly reviews to track cost efficiency, assess system performance, and optimize analytic workflows

🎯 Requisitos

• Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field, or; seven (7) years of equivalent experience in machine learning and predictive modeling. • Knowledge and capability to develop and refine predictive models, analyze large-scale datasets, and document analytic processes. • Proficient in data mining, statistical modeling, and AI-driven forecasting techniques, with experience in working with structured and unstructured data sources. • Knowledge of data visualization, feature selection, and geospatial analytics is required. • Capable of integrating data from multiple sources, ensuring model accuracy, and working within an Agile sprint cycle to deliver iterative improvements. • Demonstrated experience in exploratory data analysis, feature engineering, and statistical testing. • Experience with Python, R, SQL, and data science libraries (e.g., Pandas, NumPy, SciPy) is required. • Experience in cloud-based AI/ML tools, such as AWS SageMaker or Azure Machine Learning, and in implementing models into operational workflows. • Desirable but not required certifications include AWS Certified Data Analytics – Specialty, Microsoft Certified: Azure AI Fundamentals, or Certified Data Scientist (CDS).

🏖️ Benefícios

• Full remote flexibility