New Relic

Data for Engineers

Lead Data Scientist

Data ScientistData ScientistFull TimeRemoteTeam 1,001-5,000Since 2008H1B SponsorCompany SiteLinkedIn

Location

Oregon

Posted

9 days ago

Salary

$163K - $204K / year

Bachelor Degree7 yrs expEnglishNumpyPandasPythonScikit LearnSQL

Job Description

• 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.

Job 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.

Benefits

  • healthcare
  • dental
  • vision
  • parental leave and planning
  • mental health benefits
  • 401(k) plan and match
  • flex time-off
  • 11 paid holidays
  • volunteer time-off
  • other competitive benefits designed to improve the lives of our employees

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