Remote Principal Data Scientist

Summary

Join us at Grafana Labs as a Staff Data Scientist and be the founding member of our predictive analytics practice. You will build capabilities around operationalizing ML models to drive core financial metric and customer consumption forecasts.

Requirements

• Extensive experience building production-ready ML models for time series applications
• 5 - 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 prediction of per-customer consumption, with emphasis on ensuring model explainability and clear representation of model uncertainty
• Partner with Data Engineering to ensure model infrastructure is in place to serve, monitor, test, and retrain any models put into production
• 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 both understand and predict customer consumption as a part of our 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

Benefits

• Equity
• Bonus (if applicable)