Senior Data Scientist

🕒 Março 20

🌲 Oregon – Remoto

🌲 Oregon – Remote

⏰ Tempo Integral

🟠 Sênior

📊 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

• The contractor shall design and implement advanced ML models and statistical methods to optimize forecasting, risk assessment, and decision-making processes. • The contractor shall conduct data provenance tracking, ensuring documentation of sources, transformations, and lineage for compliance with governance policies. • The contractor shall submit the Data Provenance & Lineage Report, summarizing transformation workflows, feature engineering processes, and audit compliance. • The contractor shall implement sprint-based Agile methodologies, ensuring rapid development cycles, backlog grooming, and alignment with mission requirements. • The contractor shall provide a Rough Order of Magnitude (ROM) Estimate Report before each analytics project, detailing expected Full-Time Equivalent (FTE) hours, compute costs, storage consumption, and infrastructure requirements. • The contractor shall conduct quarterly reviews to track cost efficiency, assess system performance, and optimize analytic workflows through the Quarterly Cost & Resource Utilization Report.

🎯 Requisitos

• Active TS/SCI Clearance • Master’s degree in Data Science, Machine Learning, Statistics, or a related field, or; nine (9) years of equivalent experience in AI/ML model development and deployment. • Personnel must have demonstrated experience in building and validating AI/ML models using Python, TensorFlow, PyTorch, or Scikit-learn, integrating models into production environments, and optimizing performance for real-time analytics. • Experience with Databricks, Apache Spark, or similar distributed data processing frameworks is required. • Experience working with geospatial datasets and integrating AI/ML solutions into mission-critical applications. • Possess the knowledge and capability to develop advanced machine learning models and optimize analytic workflows for predictive and prescriptive intelligence. • Proficient in deep learning, supervised and unsupervised learning techniques, data wrangling, and feature engineering. • Experience with data provenance tracking, model explainability, and bias mitigation in AI/ML applications is required. • Personnel must be able to translate operational challenges into analytic solutions, ensuring integration of structured, unstructured, and geospatial data. • Desirable but not required certifications include Google Professional Machine Learning Engineer, Microsoft Certified: Azure Data Scientist Associate, or TensorFlow Developer Certification.

🏖️ Benefícios

• Full remote flexibility