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About the job

We are looking for a Data Scientist with strong foundations in statistics and hands-on experience designing and deploying agentic AI solutions. The ideal candidate combines rigorous analytical thinking with a research-oriented approach to development, strong SAS programming and open-source technical skills, and the ability to build production-grade AI systems. Efficient programming expertise is valued to bridge traditional statistical workflows with modern AI-driven approaches. Deep domain understanding in life sciences or across multiple industries is highly valued, as is a demonstrated ability to learn quickly and adapt to new tools, frameworks, and problem spaces.

As a Data Scientist, you will:

• Design, build, and deploy agentic AI solutions (multi-step reasoning agents, tool-using systems, workflow automation) to solve real business/scientific problems
• Approach development with a research-oriented mindset - exploring, prototyping, and validating new techniques before scaling to production
• Apply statistical methods to validate, interpret, and communicate model outputs and analytical findings
• Develop and maintain SAS programs/pipelines, particularly where regulatory or clinical data standards apply
• Write unit tests and maintain code quality standards to ensure reliability of deployed solutions
• Build and manage CI/CD pipelines for automated testing, integration, and deployment of AI/data science solutions
• Collaborate with cross-functional teams (data engineering, domain SMEs, business stakeholders) to translate requirements into scalable solutions
• Evaluate emerging open-source AI/ML techniques and frameworks and assess their applicability to current problem sets
• Document methodologies, architectures, and derivations clearly for both technical and non-technical audiences 

Required qualifications

• MSc/Ph.D. in Statistics/ Mathematics with 3-8 years of relevant experience.
• Strong programming proficiency in SAS, Python (agentic AI frameworks, LLM orchestration, API integration)
• Solid grounding in statistics (hypothesis testing, regression, experimental design, probability)
• Working experience in agentic AI system development (LLM-based agents, tool-calling, RAG, multi-agent orchestration, or similar)
• Strong open-source skills
• Proficiency in SAS programming (Base SAS/Macro; SAS in a clinical/regulatory context is a plus)
• Hands-on experience with unit testing frameworks and test-driven development practices
• Practical experience with Git, CI/CD pipelines, and deployment of models/solutions into production environments
• Familiarity with basic software engineering practices (code review, modular design, version control workflows) 

You are welcome here.

At SAS, it’s not about fitting into our culture – it’s about adding to it. We believe our people make the difference. Our inclusive workforce brings together unique talents and inspires teams to create amazing software that reflects the diversity of our users and customers. 

Additional Information:

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