[Hiring] Senior Data Scientist @Cribl

Role 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.

As An Active Member Of Our Team, You Will…

• Own end-to-end data science initiatives that translate ambiguous business questions into clear analytical and modeling problems, from scoping through implementation.
• Build, operationalize, and continuously improve machine learning models in partnership with Data Engineering to ensure scalable training & evaluation workflows in production.
• 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.
• Conduct deep-dive analyses using advanced statistical methods to surface actionable insights to stakeholders and positively influence org-wide decision quality.
• Apply statistical modeling, experimentation, and AI-assisted analytics to expand how Cribl uses data to answer challenging questions.
• Communicate findings clearly and persuasively to executives and cross-functional stakeholders to influence strategic decision-making.
• Contribute to technical best practices and team standards, and provide mentorship to junior team members as the practice grows.
• Partner closely with Data Engineering, Analytics, and Governance to define data requirements, improve data quality, and ensure the team can efficiently generate trustworthy insights.

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.

Qualifications

• 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.
• Strong background in experiment design, causal inference, predictive modeling, and ability to distinguish signal vs noise.
• Advanced SQL and Python skills, with experience working on large, messy, multi-source datasets within a modern data stack such as cloud data warehouses and transformation frameworks.
• Proven ownership of end-to-end data science and ML solutions, from problem framing and data preparation through modeling, validation, deployment to production in partnership with Data Engineering, and ongoing monitoring.
• Ability to work effectively in ambiguous, fast-changing environments, navigating from problem framing through implementation and iteration.
• Excellent communication, including the ability to present complex findings to non-technical audiences and contribute to strategic decisions.
• Familiarity with AI-assisted workflows, including leveraging LLMs as tools to accelerate analysis, surface insights, or augment modeling work.

Requirements

• Salary Range: $120,000 - $175,000
• The salary for this role is dependent on geographic location. The salary offered within the range described will be based on the individual candidate’s job-related knowledge, skills, and experience.

Benefits

• Competitive salary
• Generous benefits package which includes health, dental, vision, short-term disability, and life insurance
• Paid holidays and paid time off
• Fertility treatment benefit
• 401(k)
• Equity
• Eligibility for a discretionary company-wide bonus

Company Description

Diversity drives innovation, enables better decisions to support our customers, and inspires change for the better. We’re building a culture where differences are valued and welcomed, and we work together to bring out the best in each other. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or any other applicable legally protected characteristics in the location in which the candidate is applying.