Lead Data Scientist

We are a global team of innovators and pioneers dedicated to shaping the future of observability. As a Lead Data Scientist, you will drive the development of advanced data products and machine learning solutions that power strategic decision-making.

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