Senior Data Scientist
Role details
Job location
Tech stack
Job description
Cribl is hiring a Senior Data Scientist to join and grow our internal data science practice. In this role, you'll use predictive models and advanced analytics to give stakeholders clear foresight into what's likely to happen and what to do next. This role is embedded in our centralized data organization, reporting to our Staff Data Scientist, partnering closely with teams like Finance, GTM, and People. You'll turn rich data sets into forward-looking insights that guide planning, business strategy, and execution, and you'll contribute to the technical standards and culture that make our "Foresight First" vision a reality.
We pride ourselves on fostering a collaborative and innovative culture where team members enjoy working together - whether remotely or over a meal at a foodie hot spot. If you're someone who thrives in an entrepreneurial environment and is eager to contribute to a company poised for legendary success in the tech industry, we want to hear from you!
As An Active Member Of Our Team, You Will...
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Own end-to-end data science initiatives that translate ambiguous business questions into clear analytical and modeling problems, from scoping through implementation.
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Build, operationalize, and continuously improve machine learning models in partnership with Data Engineering to ensure scalable training & evaluation workflows in production.
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Evaluate and interpret the performance of ML models (e.g., classification, recommendation), helping the team reason through trade-offs, limitations, and business implications of model-driven decisions.
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Conduct deep-dive analyses using advanced statistical methods to surface actionable insights to stakeholders and positively influence org-wide decision quality.
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Apply statistical modeling, experimentation, and AI-assisted analytics to expand how Cribl uses data to answer challenging questions.
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Communicate findings clearly and persuasively to executives and cross-functional stakeholders to influence strategic decision-making.
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Contribute to technical best practices and team standards, and provide mentorship to junior team members as the practice grows.
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Partner closely with Data Engineering, Analytics, and Governance to define data requirements, improve data quality, and ensure the team can efficiently generate trustworthy insights.
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We are a remote-first company and work happens across many time-zones - you may be required to occasionally perform duties outside your standard working hours.
Requirements
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5+ years of experience in data science or applied statistics with a track record of driving data science projects with meaningful business impact at a software company.
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Strong background in experiment design, causal inference, predictive modeling, and ability to distinguish signal vs noise.