Remote Principal Data Scientist (Remote, Canada)

Description:

• The Principal Data Scientist will be the founding member of the predictive analytics practice within the Data & Analytics team.
• This role focuses on building capabilities around operationalizing ML models to drive core financial metrics and customer consumption forecasts.
• The function will be a key driver in corporate planning and will be heavily relied upon by teams across Finance, Revenue Operations, and the executive team.
• Responsibilities include refining existing time series forecasts to predict per-customer consumption, ensuring model explainability and clear representation of model uncertainty.
• The candidate will partner with Data Engineering to ensure the model infrastructure is in place for serving, monitoring, testing, and retraining models in production.
• The role involves identifying and building solutions to leverage forecast models for operational use cases, such as customer consumption anomaly detection and alerting.
• Collaboration with RevOps is essential to understand and predict customer consumption as part of sales planning and territory management.
• The candidate will work across Product, R&D, and Data Engineering to identify and ingest new data sources to improve model performance.

Requirements:

• The candidate must have extensive experience building production-ready ML models for time series applications.
• Experience in establishing shared standards, best practices, and expectations of data science is required.
• A MS/PhD in a quantitative discipline such as Math, Statistics, Operations Research, Economics, Engineering, or Computer Science is necessary.
• A minimum of 7 years of experience with Python and familiarity with SQL is required.
• Hands-on experience with cloud data warehouses like BigQuery, Snowflake, or Redshift is essential.
• The candidate should be a highly motivated self-starter, eager to make an impact and tackle large, complicated problems.
• Excellent communication skills are necessary to explain technical topics to non-technical audiences and maintain essential cross-team relationships.

Benefits:

• The base compensation range for this role in Canada is CAD 213,693 - CAD 256,431, with actual compensation varying based on level, experience, and skillset.
• Benefits include equity, a bonus (if applicable), and other benefits as listed on the company's careers page.
• Grafana Labs promotes a diverse and inclusive workplace, encouraging applicants from all backgrounds to apply.