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Data Scientist
SAS
Actively HiringFull-time
Location
MH, IN
Experience
3-8 years
Role
Data Scientist
Salary
Competitive
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Job Description
Role Overview
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.
Responsibilities
- 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 to translate requirements into scalable solutions
- Evaluate emerging open-source AI/ML techniques and frameworks
- Document methodologies, architectures, and derivations clearly
Requirements
- 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)
- Strong open-source skills
- Proficiency in SAS programming (Base SAS/Macro)
- Hands-on experience with unit testing frameworks and test-driven development practices
- Practical experience with Git, CI/CD pipelines, and deployment of models into production environments
- Familiarity with basic software engineering practices
Skills
- Python
- SAS
- LLM
- CI/CD
- Git
Required Skills
PythonSASLLMCI/CDGit
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