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Lead Data Scientist

2 weeks, 6 days ago
United States
Full-time
Lead
Data Scientist
Data Science and Analytics
CI/CD dbt Generative AI Git JIRA LightGBM Looker MLOps NumPy Pandas Python Random Forest SageMaker Scikit-learn SQL Tableau XGBoost
Apply Now
New Relic

New Relic

New Relic provides a comprehensive observability platform that enables engineers to monitor, debug, and enhance the performance of their entire software stack through real-time analytics and insights.

Internet Software & Services
1K-5K
Founded 2008
$520M raised
View All Jobs 71

Description

  • Lead the design, development, and deployment of advanced machine learning models and predictive algorithms.
  • Serve as a technical subject matter expert on statistical analysis, experimentation design, and code quality.
  • Partner with product managers and engineers to turn ambiguous business questions into data science projects with actionable outcomes.
  • Drive adoption of MLOps best practices to keep models scalable, reproducible, and monitored in production.
  • Perform deep-dive analyses on user behavior and product performance to identify opportunities for optimization and growth.
  • Mentor and coach data scientists and analysts to support continuous learning and technical growth.
  • Communicate complex findings to non-technical stakeholders through data storytelling and visualization.
  • Architect scalable data science frameworks and set technical standards for the team.

Requirements

  • 7+ years of experience in data science, statistics, or a related field.
  • Expert-level proficiency in Python for data manipulation, statistical analysis, and model development.
  • Advanced knowledge of SQL for complex querying and performance optimization.
  • Hands-on experience with supervised learning methods, including regression, random forests, and gradient boosting such as XGBoost or LightGBM.
  • Hands-on experience with unsupervised learning methods, including clustering and dimensionality reduction.
  • Hands-on experience with time series forecasting methods such as ARIMA and Prophet.
  • Experience with dbt for data transformation and maintaining reliable data pipelines.
  • Demonstrated ability to deploy models into production and familiarity with MLOps concepts.
  • Familiarity with software engineering practices including CI/CD, Git, and Jira.
  • Strong communication skills and the ability to explain technical concepts to business audiences.
  • Experience developing or integrating GenAI models or AI agents into product and analytical workflows.
  • Experience with cloud machine learning platforms, especially AWS SageMaker, is preferred.
  • Background in observability is preferred.
  • Advanced degree such as a Master’s or PhD in a quantitative discipline is preferred.
  • Proficiency with data visualization tools such as Tableau or Looker is preferred.
  • Visa sponsorship is not available for this position.

Benefits

  • Estimated base pay range of $163,000 to $204,000 USD.
  • Eligible for a corporate bonus plan.
  • Healthcare, dental, and vision coverage.
  • Parental leave and planning support.
  • Mental health benefits.
  • 401(k) plan with company match.
  • Flexible time-off plus 11 paid holidays.
  • Volunteer time-off.
  • Flexible workforce model with fully office-based, fully remote, or hybrid work options.

Interested in this position?

Apply directly on the company website

Apply Now

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