Senior Data Scientist

3 weeks, 2 days ago
Full-time
Senior
Data Science and Analytics
Cribl

Cribl

Cribl provides a unified data management platform specifically designed for IT and security data, enabling users to explore, collect, process, and access their data at scale while offering enhanced control and flexibility in managing their data workflows.

IT Services
251-1K
Founded 2018
$402M raised

Description

  • Own end-to-end data science initiatives from scoping ambiguous business questions through implementation.
  • Build, operationalize, and continuously improve machine learning models in partnership with Data Engineering.
  • Evaluate model performance and interpret trade-offs, limitations, and business implications of model-driven decisions.
  • Conduct deep-dive analyses using advanced statistical methods to surface actionable insights for stakeholders.
  • Apply statistical modeling, experimentation, and AI-assisted analytics to answer challenging business questions.
  • Communicate findings clearly to executives and cross-functional stakeholders to influence strategic decisions.
  • Contribute to technical best practices, team standards, and mentorship as the practice grows.
  • Partner with Data Engineering, Analytics, and Governance to define data requirements and improve data quality.
  • Work across time zones in a remote-first environment and occasionally perform duties outside standard working hours.

Requirements

  • 5+ years of experience in data science or applied statistics with meaningful business impact at a software company.
  • Strong background in experiment design, causal inference, predictive modeling, and distinguishing signal from noise.
  • Advanced SQL and Python skills.
  • Experience working with large, messy, multi-source datasets in a modern data stack, including cloud data warehouses and transformation frameworks.
  • Proven ownership of end-to-end data science and machine learning solutions from problem framing through production monitoring.
  • Ability to work effectively in ambiguous, fast-changing environments.
  • Excellent communication skills, including presenting complex findings to non-technical audiences.
  • Familiarity with AI-assisted workflows, including using LLMs to accelerate analysis or augment modeling work.

Benefits

  • Salary range of $120,000 to $175,000, based on location, knowledge, skills, and experience.
  • Health, dental, vision, short-term disability, and life insurance.
  • Paid holidays and paid time off.
  • Fertility treatment benefit.
  • 401(k) plan.
  • Equity.
  • Eligibility for a discretionary company-wide bonus.
  • Remote-first work environment.

Interested in this position?

Apply directly on the company website

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