Key skills
PythonSQLRAIMachine LearningMLAnalyticsCommunicationPresentation Skills
About this role
Role Overview
- Investigate and recommend algorithmic/data science solutions to industrial problems
- Define and translate ambiguous concepts into well-defined questions, drive analysis of complex datasets for insights, and design data-driven experiments and incubations for emerging AI and ML technologies
- Drive the design and architecture of scalable data infrastructure and analytics platforms
- Collaborate with cross-functional teams to prototype, pilot and test ML-driven solutions
- Contribute to scientific and technical publications on AI/ML research
Requirements
- 12+ years of experience in data science, advanced analytics, ML engineering, or equivalent industry experience
- 4+ years in hands-on statistical modeling, machine learning, data pipelines and experimental design
- Master's degree in Computer Science, Data Science, Statistics or a related technical field; Ph. D degree preferred
- Deep expertise in frontier and emerging AI, ML and data science techniques and best practices
- Recent experience with modern AI paradigms such as: world models, foundation models, and multi-modal language models; agent-based systems and orchestration; and context retrieval and augmentation techniques
- Experience in responsible deployment practices, model drift mitigation, privacy-preserving federating learning, and AI governance best practices
- Proficiency in Python, SQL, R and machine learning libraries
- Exceptional communication and presentation skills
Tech Stack
- Python
- SQL
Benefits
- Flex work hours
- 20 days PTO rising to 25 with service
- Three paid volunteering days
- Primary and secondary parental leave
- Well-being support
- Medical
- Dental
- Vision
- 401K