Lead Data Scientist

🕒 Março 5

🌲 Oregon – Remoto

🌲 Oregon – Remote

💵 $163.000 - $204.000 / ano

⏰ Tempo Integral

🟠 Sênior

📊 Cientista de Dados

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New Relic

SiteLinkedInTodas as Vagas

1001 - 5000 funcionários

Fundada em 2008

🏢 Corporativo

☁️ SaaS

🔒 Cibersegurança

Enterprise • SaaS • Cybersecurity

New Relic é uma plataforma abrangente de monitoramento e observabilidade projetada para ajudar organizações a entender e otimizar o desempenho de suas aplicações e infraestrutura. Ela oferece uma variedade de ferramentas para monitoramento de desempenho de aplicações (APM), monitoramento de infraestrutura e insights de dados, permitindo que os usuários acompanhem métricas de desempenho, detectem anomalias e melhorem a experiência do usuário em várias pilhas tecnológicas. Com recursos como monitoramento por IA, monitoramento de aplicativos móveis e gestão de vulnerabilidades, a New Relic capacita as empresas a melhorarem a eficiência operacional e a manterem a robustez do sistema.

Descrição

• Lead the design, development, and deployment of advanced ML models and predictive algorithms to solve critical business problems, such as churn prediction, user segmentation, and product usage forecasting. • Serve as a technical subject matter expert, guiding the team on best practices in statistical analysis, experimentation design, and code quality. • Partner with PMs and Engineers to translate ambiguous business questions into rigorous data science projects with actionable outcomes. • Drive the adoption of MLOps best practices, ensuring models are scalable, reproducible, and monitored effectively in production. • Perform deep-dive analyses on user behavior and product performance to identify opportunities for optimization and growth. • Mentor and coach other data scientists and analysts, fostering a culture of continuous technical learning and innovation. • Communicate complex technical findings to non-technical stakeholders through compelling data storytelling and visualization.

🎯 Requisitos

• 7+ years of experience in DS, Statistics, or a related field, with a proven track record of delivering high-impact machine learning solutions. • Expert-level proficiency in Python for data manipulation, statistical analysis, and model development (pandas, scikit-learn, numpy, etc.). • Advanced knowledge of SQL for complex data querying and performance optimization. • Strong hands-on experience with a breadth of modeling techniques, including: • Supervised learning (Regression, Random Forests, Gradient Boosting like XGBoost/LightGBM) • Unsupervised learning (Clustering, Dimensionality Reduction) • Time series forecasting (ARIMA, Prophet) • Experience with dbt for data transformation and maintaining clean, reliable data pipelines. • Demonstrated ability to deploy models into production environments and familiarity with MLOps concepts. • Familiarity with software engineering practices (CI/CD, version control with Git, Jira). • Strong communication skills, with the ability to influence stakeholders and explain technical concepts to business audiences. • Expertise in developing or integrating GenAI models or AI agents into product and analytical workflows.

🏖️ Benefícios

• healthcare • dental • vision • parental leave and planning • mental health benefits • 401(k) plan and match • flex time-off • 11 paid holidays • volunteer time-off • other competitive benefits designed to improve the lives of our employees