About The Role
We are seeking a Principal Data Scientist to join our Data & Analytics team as the founding member of our predictive analytics practice. This role focuses on building capabilities around operationalizing machine learning models to drive core financial metrics and customer consumption forecasts. You will play a key role in corporate planning and will be heavily relied upon by teams across Finance, Revenue Operations, and our executive team.
Key Responsibilities
- Refine existing time series forecasts to predict per-customer consumption, ensuring model explainability and clear representation of model uncertainty.
- Partner with Data Engineering to ensure the model infrastructure is in place to serve, monitor, test, and retrain models in production.
- Identify and build solutions to leverage forecast models for operational use cases, such as customer consumption anomaly detection and alerting.
- Collaborate with RevOps to understand and predict customer consumption as part of sales planning and territory management.
- Work with Product, R&D, and Data Engineering to identify and ingest new data sources to improve model performance.
What You Bring
- Extensive experience building production-ready ML models for time series applications.
- Experience establishing shared standards, best practices, and expectations for data science.
- MS/PhD in a quantitative discipline (Math, Statistics, Operations Research, Economics, Engineering, or Computer Science).
- 7+ years of experience with Python and familiarity with SQL.
- Hands-on experience with cloud data warehouses (e.g., BigQuery, Snowflake, Redshift).
- Highly motivated self-starter with excellent communication skills, able to explain technical topics to non-technical audiences.
Preferred Qualifications
- Experience in Bayesian statistics and modeling.
- Knowledge about observability.
- Previous experience with Grafana visualization or a willingness to learn.
Compensation
In the United States, the base compensation range for this role is USD 223,254 - USD 267,905. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable), and other benefits.
About Grafana Labs
Grafana Labs is the company behind Grafana, Loki, Mimir, and Tempo, leading open-source software for visualizing operational data. We help users get the most out of Grafana, enabling them to take control of their unified monitoring and avoid vendor lock-in and the spiraling costs of closed solutions.
Equal Opportunity Employer
At Grafana Labs, we are building a company where a diverse mix of talented people want to come, stay, and do their best work. We believe that equality and diversity build a strong organization, and we’re working hard to make sure that’s the foundation of our organization as we grow.
Benefits Extracted with AI
- Equity
- Bonus
- Remote work
- Diverse and inclusive workplace
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