Job Overview
Location
Atlanta, Georgia, USA; Chicago, Illinois, USA; Houston, Texas, USA; Portland, Oregon, USA
Job Type
Full-time
Category
Data Science
Date Posted
April 14, 2026
Full Job Description
đź“‹ Description
- • As a Lead Data Scientist at New Relic, you will serve as a technical cornerstone of the analytics organization, driving the development of advanced data products and machine learning solutions that power strategic decision-making across product, engineering, and strategy teams.
- • You will lead the design, development, and deployment of advanced ML models for critical business problems such as churn prediction, user segmentation, and product usage forecasting, while serving as a subject matter expert in statistical analysis, experimentation, and code quality.
- • You will partner with product managers and engineers to translate ambiguous business questions into rigorous data science projects, drive MLOps adoption for scalable and monitored model deployment, and perform deep-dive analyses on telemetry data to uncover optimization and growth opportunities.
- • You will mentor and coach junior data scientists, foster a culture of technical learning and innovation, and communicate complex findings to non-technical stakeholders through compelling data storytelling and visualization.
- • You will work within a global team of innovators shaping the future of observability, contributing to an intelligent platform that empowers companies to thrive in an AI-first world by providing unparalleled insight into complex systems.
- • You will have the opportunity to set technical standards, architect scalable data science frameworks, and grow your expertise in GenAI, MLOps, and advanced modeling techniques while making a high-impact contribution to New Relic’s mission.
🎯 Requirements
- • 7+ years of experience in data science, 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 using libraries such as pandas, scikit-learn, and numpy.
- • Advanced knowledge of SQL for complex data querying and performance optimization.
- • Strong hands-on experience with supervised learning (regression, random forests, gradient boosting), unsupervised learning (clustering, dimensionality reduction), and time series forecasting (ARIMA, Prophet).
- • Experience with dbt for data transformation and maintaining reliable data pipelines.
- • Demonstrated ability to deploy models into production environments and familiarity with MLOps concepts.
- • Familiarity with software engineering practices including CI/CD, version control with Git, and use of 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, and vision coverage.
- • Parental leave and planning support.
- • Mental health benefits.
- • 401(k) plan with company match.
- • Flexible time-off policy.
- • 11 paid holidays per year.
- • Volunteer time-off opportunities.
- • Access to additional competitive benefits designed to improve employee well-being.
Skills & Technologies
About New Relic, Inc.
New Relic, Inc. provides a cloud-based observability platform that unifies application performance monitoring, infrastructure monitoring, log management, error tracking, and digital experience insights. It ingests telemetry from servers, containers, mobile apps, and browsers, then correlates metrics, events, logs, and traces to help engineering and operations teams detect, triage, and resolve software issues faster. The company offers SaaS subscriptions, open-source agents, and programmable APIs, serving enterprises and DevOps-centric organizations worldwide since 2008.
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