We are a global team of innovators and pioneers dedicated to shaping the future of observability. At New Relic, we build an intelligent platform that empowers companies to thrive in an AI-first world by giving them unparalleled insight into their complex systems. As we continue to expand our global footprint, we're looking for passionate people to join our mission. If you're ready to help the world's best companies optimize their digital applications, we invite you to explore a career with us! Your opportunity As a Lead Data Scientist, you will be a technical cornerstone of the analytics organization, driving the development of advanced data products and machine learning solutions that power strategic decision-making. You will work at the intersection of product, engineering, and strategy to uncover deep insights from our vast telemetry data. In this high-impact individual contributor role, you will set the standard for technical excellence, architect scalable data science frameworks, and mentor junior data scientists, all while solving complex problems in the observability space
What you'll do 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
This role requires 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: <u