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Data Scientist at Cloudbees. Location Information: USA. Apply. Description. Job Title:. Data Scientist – AI & Agentic Applications & Benchmarking. Job Type:. Full-time. Location:. Remote - United States. About CloudBees. CloudBees enables enterprises to deliver scalable, compliant, and secure software, empowering developers to do their best work. . Seamlessly integrating into any hybrid and heterogeneous environment, CloudBees is more than a tool—it's a strategic partner in your cloud transformation journey, ensuring security, compliance, and operational efficiency while enhancing the developer experience across your entire software development lifecycle. It allows developers to bring and execute their code anywhere, providing greater flexibility and freedom through fast, self-serve, and secure workflows.. CloudBees supports organizations at every step of their DevSecOps journey, whether using Jenkins on-premise or transitioning software delivery to the cloud. We’re helping customers build the future, today. Now, we’re bringing . agentic intelligence. into our platform to supercharge developer workflows—and we need a data scientist who can both drive insights and tell the story behind the metrics.. About the Role. CloudBees is seeking a startup-savvy . Data Scientist. to help define, measure, and evangelize the impact of . Agentic Applications. across our platform. You’ll work closely with engineers and product teams to . prototype and measure AI and Agentic experiences, using evals, telemetry, and AI benchmarks. to help the company drive the conversation in the market and with customers. Translating performance into clear, compelling narratives to our customers and internal teams.. As a founding member of the team, you will lead the charge as equal parts . builder, evaluator, and communicator. —with the technical depth to prototype in Python notebooks, Claude Code, and other tools to drive clarity to write about what matters.. Key Responsibilities. Partner with our platform team to develop and prototype . telemetry, eval frameworks, and benchmarks. for emerging agentic systems.. Partner with product and engineering teams to . measure AI outcomes and usage across customers and teams. .. Help define KPIs and success metrics for AI and LLM-driven features and workflows.. Use Python notebooks to . explore data, visualize insights. , and test hypotheses rapidly and share insights.. Tell the story behind the numbers: Write internal documentation, performance summaries, and thought leadership around outcomes.. Enable engineering teams to . instrument, log, and evaluate. agent performance effectively.. Stay up to date with evolving metrics and evaluation techniques in the LLM and agentic AI ecosystem.. Qualifications. Required:. 3+ years of experience in data science or ML analytics roles, ideally in startup or high-growth environments.. Proficiency in . Python. , including building and sharing analysis via . Jupyter notebooks. .. Experience working with evals, telemetry, A/B testing, and evaluating user-facing ML systems.. Experience with AI/ML tools such as MLFlow, Hugging Face, or other Model / LLM tools.. Ability to partner with technical teams to define meaningful metrics and benchmarks.. Clear communication skills—capable of . writing about outcomes. , sharing learnings, and influencing stakeholders.. Comfort working in fast-paced, ambiguous environments where speed and clarity matter.. Preferred (not required):. Experience with . agentic or LLM-based applications. (e.g., evaluating AI copilots, autonomous workflows).. Familiarity with tools like LangSmith, OpenInference, or custom eval stacks.. Background in developer tools, DevOps, or platform engineering environments.. Compensation & Benefits. Base Pay Range: [$166,000 – $180,000 annually] In accordance with applicable law, this represents a reasonable estimated compensation range for this role. Actual compensation will be determined based on skills, experience, and geographic location and may be more or less than the amount shown above. Outside of base compensation, CloudBees also offer stock options and variable bonuses. . What CloudBees Offers: . . Health Insurance. . Dental Insurance. . Vision Insurance. . Short & Long Term Disability. . Life Insurance. . HSA/FSA. . Remote Work Environment. . Flexible Time Off . . Paid Company Holidays. . Parental Leave. . Variable Bonus Plan dependent on your role. . Stock grant opportunities dependent on your role. . 401(k) with Company Match. . EEO Statement. CloudBees is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All employment decisions are made based on qualifications, merit, and business need, without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, veteran status, or any other protected characteristic as outlined by federal, state, or local laws.. Disclaimer. This job description is intended to describe the general nature and level of work being performed. It is not an exhaustive list of all duties, responsibilities, and qualifications required of employees assigned to this position. Duties, responsibilities, and activities may change at any time with or without notice.