Senior Data Scientist, Cribl
$120-175k
+ Equity
Data engine for IT and security
Be an early applicant
Data engine for IT and security
1001+ employees
Be an early applicant
$120-175k
+ Equity
1001+ employees
Company mission
To empower enterprises to unlock the value of all their data.
Role
Who you are
- 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
What the job involves
- 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
- 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
Our take
In a bid to simplify big data analytics, Cribl offers a data observability pipeline which allows users to reduce low value data, improve routing and gain more data context on one interface.
As companies now collect more and more data from frequently scattered sources, its useability and reliability comes into question. By offering an observability service, Cribl allows users to maintain the health of their data systems by monitoring, tracking and troubleshooting issues.
Cribl's main challenge will be competing with the likes of Observe and Edge Delta. However, Cribl has raised impressive funds that should accelerate its transition from a limited tool vendor to a fully-fledged observability suite. The company also boasts surpassing $100 million in annual recurring revenue, having grown this from $1 million in less than four years.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
32% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
Aug 2024
$200m
SERIES E
May 2022
$150m
SERIES D
Total funding: $592.5m
Company benefits
- Medical, dental, and vision insurance: Our comprehensive benefit plans have you and your family covered when it comes to the important stuff. Beyond the basics, we also have supplemental plans like accident insurance, One Medical, and FSA/HSA accounts.
- Disability and income protection: When you need it most, Cribl's disability and income protection benefits have your back, with up to 4 weeks of paid medical leave. We also cover basic life insurance with options to increase your coverage.
- Mental health Care: Mental health is physical health! We offer free coaching, therapy sessions and more through Modern Health to support you in navigating all aspects of life.
- Retirement plan: Saving for the future doesn't happen all at once. We offer retirement accounts to help you make progress towards your financial goals.
- Family planning: Regardless of what your family unit looks like at home, Cribl supports your journey by offering family-forming benefits from adoption, to fertility, and through postpartum. We also offer a paid gender-neutral parental leave benefit to support you and your family.
- Time off: We offer generous, flexible time off for all employees and empower you to balance your work and life in the ways that suit you best. Twice a year we all log off together for a "Recharge Day", and in December we enjoy a company-wide winter break.
- Remote office perks: All new employees receive a one-time $1,000 stipend towards their home-office set up. We also offer a monthly reimbursement for phone, internet, coworking pass, or a weekly meal.
Company HQ
Yerba Buena, San Francisco, CA
Leadership
Clint Sharp
(Co-Founder & CEO)They were Chief Software Architect at Prophetline from 1999 to 2002, and the founder of Aggregate Technology Solutions. They were also Senior Director of Product Management at Splunk.
Dritan Bitincka
(Co-Founder & Products)They worked as Computer Sciences Laboratory Director at Farleigh Dickinson University. Joined Splunk as Principal Architect in 2011.
Ledion Bitincka
(Co-Founder & CTO)They acted as a Scientific Consultant at Harvard University before joining Looksmart as a Software Engineer in 2006. They founded Triangulus Communications and were Splunk's Advanced Development Architect.
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