Remote Principal Data Scientist

Summary

Join Grafana Labs as a Staff Data Scientist and become a founding member of our predictive analytics practice. You will focus on operationalizing ML models to forecast key financial metrics and customer consumption, directly impacting corporate planning and informing decisions across various teams. This role requires extensive experience in deploying ML models on time series data, strong cross-team collaboration skills, and the ability to establish data science best practices. You will refine existing time series forecasts, partner with data engineering to build model infrastructure, and identify solutions for operational use cases. The position is remote and open to candidates in US time zones. Compensation is competitive and includes equity and a bonus.

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 our existing time series forecasts to allow the prediction of per-customer consumption, with an emphasis on ensuring model explainability and a clear representation of model uncertainty
• Partner with Data Engineering to ensure the model infrastructure is in place to serve, monitor, test, and retrain any models put into production
• Identify and build solutions to leverage these 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

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)
• Remote work