Senior Staff Data Scientist - BitsAI

Datadog is building AI-assisted agents to help our users solve operational and security-related problems in an automated way. This ambitious project consumes data about our customers’ systems, discovers potential problems, proposes solutions, and offers those solutions to users through both manual and automated steps. The goal of the team is to reduce the time users spend on DevSecOps tasks, freeing them up to accomplish more.

We’re looking for a Senior Staff Data Scientist to guide the applied AI techniques and experiments used for all AI agents at Datadog. Your roles will cover the whole data science lifecycle (design, prototyping, scaling and productionisation). And as one of the most senior members of the team will help coach, mentor and develop team members by being a champion for applied/data science and engineering best practices. We will leverage existing models, fine-tune (or eventually train new systems) where needed, and build a team of end-to-end agentic systems that perform tasks for users on Datadog, just like a human might. Think of this as working to assist and eventually replace the need for a wide range of jobs done on Datadog every day, including Operational Incident Management and Investigation, Security Analyst Triaging, and more. You will work across our science and engineering teams to build applied AI systems at production scale, experiment with and iterate on new ideas in the space, and help Datadog develop the AI agents of the future.

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Lead applied science efforts to develop the architecture, patterns, and individual solutions for new LLM driven AI Agent systems

• Identify high impact business opportunities through data exploration, model prototypes and bootstrapping projects. 

• Help drive the applied AI/ML strategy across the company for AI Agent driven systems, working in partnership with the research team

• Enhance the AI/ML competence across an organization of engineers, engineering managers, and product managers.

• Provide mentorship on the usage of ML

• Partner and provide technical leadership to Staff Engineers, other Data Scientists, and Product partners, policy owners and operational teams, to identify and demonstrate AI/ML opportunities. Encourage critical thinking within teams to develop this understanding themselves

• Collaborate closely with partners teams, scientists, and engineers to develop the next generation of Datadog’s AI Agent systems 

• Represent and evangelize AI/ML across Datadog

• Regularly speak with users to discover their needs and feedback

• Navigate tradeoffs between thoroughness and time-to-market, understanding how to provide the right level of value to customers at the right time

• Work with other Datadog teams to integrate their domain expertise into solution pathways

• Mentor and grow other data scientists and ML engineers on the team and beyond

Who You Are:

• 10+ years of industry experience (applied scientist, ML engineer, tech lead…) and a Master’s degree or PhD in relevant fields

• Strong track records of designing, prototyping, scaling and launching applied science products to solve business problems

• Deep understanding of Machine Learning lifecycle, best practices, algorithms and domains

• Strong coding skills in general purpose languages like Scala or Python, and familiarity with software engineering principles around testing, code reviews and deployment

• You’re passionate about Generative AI/LLMs and its ability to help software engineers and security engineers be more productive and keep systems more secure

• You ship fast, route around blockers, and are comfortable working with ambiguity

• You love talking with users

• You may have been a founder or early builder at a startup– this is a similar kind of effort

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth: 

• High income earning opportunities based on individual performance

• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)

• Continuous professional development, product training, and c