Grafana Labs is hiring a
Principal Data Scientist

Summary

Join Grafana Labs as a Principal Data Scientist to establish predictive analytics practice within the Data & Analytics team. Focus on building capabilities around operationalizing ML models to drive core financial metrics and customer consumption forecasts. Collaborate with various teams across Finance, Revenue Operations, and executive team.

Requirements

• Extensive experience building production-ready ML models for time series applications
• MS/PhD in a quantitative discipline (Math, Statistics, Operations Research, Economics, Engineering, or CS)
• 7+ years of experience with Python and familiarity with SQL
• Hands-on experience with cloud data warehouses (e.g., BigQuery, Snowflake, Redshift, etc.)
• Highly motivated self-starter that is keen to make an impact and is unafraid of tackling large, complicated problems
• Excellent communication skills, able to explain technical topics to non-technical audiences, and maintain many of the essential cross-team and cross-functional relationships necessary for the team’s success

Responsibilities

• Refine existing time series forecasts to allow the prediction of per-customer consumption
• Partner with Data Engineering to ensure model infrastructure is in place for serving, monitoring, testing, and retraining models
• Identify and build solutions to leverage forecast models for operational use cases (e.g., customer consumption anomaly detection, alerting, etc.)
• Partner closely with RevOps to understand and predict customer consumption as a part of sales planning and territory management
• Collaborate across Product, R&D, and Data Engineering to identify and ingest new sources of data to improve model performance

Preferred Qualifications

• Experience in Bayesian statistics and modeling
• Knowledge about observability
• Previous experience with Grafana visualization, or a desire to invest the time to learn

Benefits

• Equity
• Bonus (if applicable)
• Other benefits listed on Grafana Labs careers page