Lead Data Scientist

New Relic New Relic · Enterprise · OR · Data Analytics

Lead Data Scientist at New Relic responsible for developing and deploying advanced ML models and predictive algorithms, driving MLOps best practices, and integrating GenAI models into product and analytical workflows within the observability domain.

What you'd actually do

  1. 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.
  2. Serve as a technical subject matter expert, guiding the team on best practices in statistical analysis, experimentation design, and code quality.
  3. Partner with PMs and Engineers to translate ambiguous business questions into rigorous data science projects with actionable outcomes.
  4. Drive the adoption of MLOps best practices, ensuring models are scalable, reproducible, and monitored effectively in production.
  5. Perform deep-dive analyses on user behavior and product performance to identify opportunities for optimization and growth.

Skills

Required

  • Python
  • SQL
  • dbt
  • MLOps
  • Git
  • Jira
  • GenAI models
  • AI agents

Nice to have

  • AWS SageMaker
  • observability
  • Tableau
  • Looker
  • Master’s or PhD

What the JD emphasized

  • proven track record of delivering high-impact machine learning solutions
  • Expertise in developing or integrating GenAI models or AI agents into product and analytical workflows

Other signals

  • Develop and deploy advanced ML models
  • Drive adoption of MLOps best practices
  • Expertise in developing or integrating GenAI models or AI agents