What are the responsibilities and job description for the Senior Research Data Scientist position at Introlligent Inc.?
Job Details
Key Responsibilities
- Design, implement, support, and evaluate experiments for LLM feature safety, including both human and automated evaluations.
- Develop scalable pipelines and tools to process and analyze heterogenous datasets.
- Collaborate with cross-functional teams to operationalize research findings
- Write high-quality, maintainable code, and contribute to shared codebases
- Create and maintain documentation for research processes and evaluation frameworks.
- Communicate findings effectively through presentations and reports, translating technical results into actionable insights for diverse audiences.
Key Qualifications
- Strong programming skills in Python, with experience in writing production-level code and implementing best practices (e.g., unit testing, version control).
- Experience with data engineering, including working with large datasets or heterogenous datasets with mixed provenance.
- Solid understanding of machine learning concepts, particularly related to LLMs, NLP, and model evaluation.
- Experience designing and executing experiments, including human-centered evaluations and automated benchmarking.
- Experience in observational or experimental research with human subjects.
- Familiarity with SQL for data manipulation and analysis.
- Strong analytical and problem-solving skills, with experience applying statistical methods to real-world problems.
- Excellent verbal and written communication skills, with experience in explaining technical concepts to non-technical stakeholders.
Strongly Preferred
- Hands-on, technical experience solving data science or ML problems with LLMs, preferably in an applied industry context
- Experience with responsible AI, including fairness, transparency, and safety in AI systems.
- Background in human-centered data science, HCI, or social science fields relevant to understanding human-AI interactions or measuring human-centered phenomena.
Education
Master s or PhD in Computer Science, Machine Learning, Data Science, Statistics, Cognitive Science, Psychology, Human-Computer Interaction, or a related field.
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