
Empowering enterprises with data observability solutions
Cribl is a leading data observability platform headquartered in Yerba Buena, San Francisco, CA. The company empowers enterprises to optimize their data management with its observability pipeline, which helps users reduce low-value data and improve routing. With over $100 million in annual recurring ...
Cribl offers a comprehensive benefits package including medical, dental, and vision insurance, a retirement plan, and up to 4 weeks of paid medical le...
Cribl fosters a culture focused on simplifying big data analytics and enhancing data usability. The company emphasizes mental health support, offering...

Cribl • Remote - United States
Cribl is hiring a Staff Data Scientist to launch and shape their internal data science practice. You'll use predictive models and advanced analytics to provide insights that guide business strategy. This role requires strong analytical skills and experience in data science.
You have a strong background in data science with experience in predictive modeling and advanced analytics — you've successfully turned complex data sets into actionable insights that drive business decisions. You thrive in collaborative environments and enjoy working closely with cross-functional teams, including Finance, GTM, and People. Your curiosity and motivation to solve problems make you a valuable team member who puts customers first.
You are passionate about establishing best practices and setting high standards for technical rigor within your team — you understand the importance of data integrity and the impact it has on decision-making processes. You have a proven track record of using data to influence strategy and execution, and you are eager to bring your expertise to a rapidly growing company.
You are comfortable working in a remote-first environment and are adept at communicating effectively with team members across different locations — you appreciate the flexibility that remote work offers and are committed to delivering high-quality results regardless of your physical workspace. You are excited about the opportunity to shape the data science practice at Cribl and contribute to its mission of solving pressing data needs for clients.
Experience with data visualization tools and techniques is a plus — you can effectively communicate complex data insights to stakeholders in a clear and engaging manner. Familiarity with machine learning frameworks and tools will enhance your ability to develop predictive models that drive business outcomes. You are open to learning new technologies and methodologies that can improve the data science practice at Cribl.
As a Staff Data Scientist at Cribl, you will be responsible for launching and shaping the internal data science practice — you will leverage your expertise in predictive modeling and advanced analytics to provide stakeholders with foresight into business trends and opportunities. You will collaborate closely with various teams to understand their data needs and develop models that inform strategic planning and execution.
You will analyze rich data sets to extract meaningful insights that guide decision-making processes — your work will directly impact how Cribl approaches its business strategy and execution. You will set the bar for technical rigor within the data science team, ensuring that best practices are established and followed.
You will be an advocate for the “Foresight First” vision at Cribl, helping to embed data-driven decision-making into the company culture — you will work to foster a collaborative and innovative environment where team members feel empowered to share ideas and insights. Your contributions will help shape the future of Cribl as a leader in data solutions for IT and Security.
Cribl offers a dynamic and supportive work environment where you can thrive as a Staff Data Scientist — you will have the opportunity to work with some of the biggest names in the industry and tackle their most pressing data challenges. We believe in empowering our employees to do their best work, wherever they are, and we encourage you to apply even if your experience doesn't match every requirement. Join us and unlock your opportunity to make a significant impact in the world of data science.
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