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About the Role
Develop your Data Scientist career and innovate using technology as part of a dynamic team.
Responsibilities
- Act as a leader for analytic projects and result sharing.
- Lead code reviews and act as the final approver of models before reaching customers.
- Evaluate and create new frameworks, defining methodologies and governance.
- Manage and lead small-to-medium sized teams, directly or indirectly.
- Set a high bar for model development.
Requirements
- Proficiency in large language models (prompting, fine-tuning, adaptation), LLM.
- Expertise in advanced retrieval-augmented generation (hybrid search, ranking optimization), RAG.
- Experience with embedding strategies and semantic search systems.
- Knowledge of knowledge graph integration and graph-enhanced intelligence.
- Familiarity with Agentic AI architecture, multi-step reasoning, autonomous agent orchestration, and long-running agent design with feedback loops, GenAI.
- Experience in evaluation science (offline metrics, human-in-the-loop systems).
- Understanding of cost-performance optimization.
- Knowledge of AI observability and monitoring in production.
- Experience with data governance and compliance-aware system design.
- Excellent communication skills with the ability to convey information clearly to senior stakeholders.
- Natural problem-solver with the ability to lead collaboration to resolve issues.
- Experience in mentoring or training others, and acting as a subject matter expert to guide colleagues.
- Some management experience, including leading a team indirectly or directly.
- Significant experience in a Data Scientist role.
- Experience in leading complex projects and customer relationships.
Skills
- Large language models (prompting, fine-tuning, adaptation)
- LLM
- Advanced retrieval-augmented generation (hybrid search, ranking optimization)
- RAG
- Embedding strategies
- Semantic search systems
- Knowledge graph integration
- Graph-enhanced intelligence
- Agentic AI architecture
- Multi-step reasoning
- Autonomous agent orchestration
- Long-running agent design with feedback loops
- GenAI
- Evaluation science (offline metrics, human-in-the-loop systems)
- Cost-performance optimization
- AI observability
- AI monitoring in production
- Data governance
- Compliance-aware system design
Location
- USA
Work Type
- Full-time
Experience Level
- Principal
- Senior
- Management
Salary/Compensations
- $118,300 - $219,800
Benefits
- Country specific benefits
- Annual incentive bonus
Equal Opportunity
- Qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.