Remote Principal Data Scientist (Remote, US)

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Description:

  • This is a remote position, and candidates from the United States time zones are being considered.
  • The role is for a Principal Data Scientist, who will be the founding member of the predictive analytics practice within the Data & Analytics team.
  • The focus will be on building capabilities around operationalizing ML models to drive core financial metrics and customer consumption forecasts.
  • This function will play a key role in corporate planning and will be heavily relied upon by teams across Finance, Revenue Operations, and the executive team.
  • Success in this role requires significant experience in deploying ML models on time series data, coordinating between multiple teams to meet business-driven timelines, and establishing standards and best practices for data science across Grafana Labs.
  • Projects include refining existing time series forecasts, partnering with Data Engineering for model infrastructure, identifying solutions for operational use cases, collaborating with RevOps for customer consumption predictions, and working with Product, R&D, and Data Engineering to improve model performance.

Requirements:

  • Candidates 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.
  • Candidates should be highly motivated self-starters who are keen 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.
  • Experience in Bayesian statistics and modeling, knowledge about observability, and previous experience with Grafana visualization are considered a plus.

Benefits:

  • The base compensation range for this role is USD 223,254 - USD 267,905, 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.
About the job
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$ 223,254 - 267,905 USD / year
Position
Experience level
GL
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