Lead Data Scientist Job at New Relic (Atlanta)

Lead Data Scientist

New Relic

Location:
United States , Atlanta ▼
Chicago
Houston
Portland

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

163000.00 - 204000.00 USD / Year

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Job Description:

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.

Job Responsibility:

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

Nice to have:

Experience with cloud-based machine learning platforms, specifically AWS SageMaker
Background in the observability
Advanced degree (Master’s or PhD) in a quantitative discipline
Proficiency in data visualization tools (e.g., Tableau, Looker) to democratize insights

What we offer:

corporate bonus plan
healthcare
dental
vision
parental leave and planning
mental health benefits
a 401(k) plan and match
flex time-off
11 paid holidays
volunteer time-off

Additional Information:

Job Posted:
January 10, 2026

Employment Type:

Fulltime

Work Type:

Remote work

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