Lead Data Scientist

🕒 March 5

🌲 Oregon – Remote

🌲 Oregon – Remote

💵 $163k - $204k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

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New Relic

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2008

🏢 Enterprise

☁️ SaaS

🔒 Cybersecurity

Enterprise • SaaS • Cybersecurity

New Relic is a comprehensive monitoring and observability platform designed to help organizations understand and optimize the performance of their applications and infrastructure. It provides a range of tools for application performance monitoring (APM), infrastructure monitoring, and data insights, enabling users to track performance metrics, detect anomalies, and enhance user experience across various technology stacks. With features like AI monitoring, mobile app monitoring, and vulnerability management, New Relic empowers businesses to improve operational efficiency and maintain system robustness.

📋 Description

• 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.

🎯 Requirements

• 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.

🏖️ Benefits

• 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