Staff Data Scientist

October 22

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Grafana Labs

WebsiteLinkedInAll Job Openings

Monitoring • Observability • Dashboards

501 - 1000

Description

• This is a remote position, and we’re considering candidates in the Canadian time zones. • We are looking for a Staff Data Scientist to be the founding member of our predictive analytics practice within our Data & Analytics team, with a focus on building capabilities around operationalizing ML models to drive core financial metric and customer consumption forecasts. • Success in this role will require a combination of significant experience in deploying ML models on time series data, coordinating between multiple teams to meet business driven timelines, and an ability to establish standards and best practices for data science across Grafana Labs. • 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.

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. • A plus if you have experience in Bayesian statistics and modeling. • Knowledge about observability. • Previous experience with Grafana visualization, or a desire to invest the time to learn.

Benefits

• Benefits include equity, bonus (if applicable) and other benefits listed here.