
1001 - 5000 funcionários
Fundada em 1985
🔒 Cibersegurança
💰 Private Equity Round em 2021-05
Cybersecurity
A BeyondTrust é especializada em soluções de cibersegurança. A empresa se concentra em oferecer produtos e serviços que protegem as organizações contra ameaças internas e externas, e suas soluções geralmente envolvem Gestão de Acesso Privilegiado (PAM) para proteger e gerenciar as identidades e credenciais de usuários que acessam sistemas e dados críticos.
🕒 Maio 14
🗣️🇺🇸🇬🇧 Inglês obrigatório
Melhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.

1001 - 5000 funcionários
Fundada em 1985
🔒 Cibersegurança
💰 Private Equity Round em 2021-05
Cybersecurity
A BeyondTrust é especializada em soluções de cibersegurança. A empresa se concentra em oferecer produtos e serviços que protegem as organizações contra ameaças internas e externas, e suas soluções geralmente envolvem Gestão de Acesso Privilegiado (PAM) para proteger e gerenciar as identidades e credenciais de usuários que acessam sistemas e dados críticos.
• Develop and deploy machine learning models (supervised, unsupervised, deep learning) for production use cases • Design experiments, define success metrics, and run rigorous offline and online evaluations (A/B tests, holdouts, causal analyses) • Fine-tune, prompt-engineer, and evaluate large language models for domain-specific tasks • Partner with data engineering to define the features, datasets, and pipelines needed for model training and inference • Collaborate with engineering, product, and business teams to translate ambiguous problems into well-scoped modeling solutions • Build monitoring and evaluation frameworks to track model performance, drift, and fairness over time • Communicate findings and recommendations to both technical and non-technical stakeholders through clear visualizations and written reports • Mentor other data scientists and help raise the bar for modeling rigor across the team
• Master's or PhD in Computer Science, Statistics, Mathematics, or a related quantitative field (or equivalent practical experience) • 3+ years of hands-on experience building and deploying ML models in production environments • Strong proficiency in Python and ML frameworks such as PyTorch, TensorFlow, scikit-learn, and Hugging Face Transformers • Deep understanding of statistical modeling, experimental design, and evaluation methodology • Experience with cloud platforms (AWS, GCP, or Azure) for training, serving, and scaling models • Familiarity with LLM fine-tuning techniques (LoRA, RLHF, instruction tuning) and serving infrastructure • Experience leveraging AI coding assistants (such as Claude Code, OpenCode, or GitHub Copilot) to accelerate development workflows.
• Diversity. Inclusion. They’re more than just words for us. They are the guiding values of how we build our teams, cultivate leaders, and create a culture where people feel connected. • We take care of our employees so they can take care of our customers. Customers who come from all walks of life just like us. We hire incredible people from diverse backgrounds because when we are different together, we are stronger together.
Candidatar-se🕒 Maio 12
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🕒 Maio 7
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🕒 Maio 5
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⏰ Tempo Integral
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🗣️🇺🇸🇬🇧 Inglês obrigatório
🕒 Maio 5
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🇺🇸 Estados Unidos – Remoto (EUA)
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⏰ Tempo Integral
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🔴 Especialista
📊 Cientista de Dados
🗣️🇺🇸🇬🇧 Inglês obrigatório