Lead Data Scientist
New Relic · Atlanta, GA | Chicago, IL | Houston, TX | Portland, OR · Data Analytics
About this role
New Relic is hiring a senior-level Data Scientist based in Atlanta, GA | Chicago, IL | Houston, TX | Portland, OR. The posting calls out experience with Python, SQL, AWS, dbt and roughly 7+ years of relevant work. Compensation is listed at $163,000–$204,000 per year.
- Role
- Data Scientist
- Function
- data engineering
- Level
- senior
- Track
- Individual contributor
- Employment
- Full-time
- Location
- Atlanta, GA | Chicago, IL | Houston, TX | Portland, OR
- Experience
- 7+ years
- Department
- Data Analytics
More roles at New Relic
Job description
from New Relic careersWe 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.