
Assistant Director, Data Science
- Seattle, WA
- Permanent
- Full-time
- Co-lead complex Gen AI projects from design to production implementation.
- Build POCs (proof of concept) and visualizations to socialize ideas.
- Mine large datasets to generate insights to inform business decisions.
- Communicate effectively with stakeholders to understand requirements, provide updates, and articulate value.
- Collaborate closely with technology and operations teams to ensure seamless deployment and integration of Gen AI models into production.
- Prioritize opportunities based on business impact and create strategic alignment with stakeholders.
- Hands on experience with prompting LLMs (such as GPT / Gemini, etc.) for non-trivial tasks (multi-turn conversation, dynamic prompting, etc.)
- Hands on experience with LLM tools such for orchestration (e.g. Langchain, etc.), vectordb stores (e.g. ChromaDB, Postgres, etc.)
- Familiarity with RAG and experience implementing and evaluating RAG pipelines.
- Experience working with Speech to text (STT) models, transcriptions - real time and batch.
- Proficiency in Python
- Broad knowledge of predictive analytic techniques and statistical diagnostics of models.
- Expert knowledge of predictive toolset; reflects as expert resource for tool development.
- Demonstrated ability to exchange ideas and convey complex information clearly and concisely.
- Networks with key contacts outside own area of expertise. Ability to establish and build relationships within the aligned functional area or SBU.
- Ability to give effective training and presentations to peers, management and less senior business leaders.
- Ability to use results of analysis to persuade team or department management to a particular course of action.
- Has a value driven perspective with regard to understanding of work context and impact.
- Competencies typically acquired through a Ph.D. degree (in Statistics, Mathematics, Economics, Actuarial Science or other scientific field of study) and a minimum of 2 years of relevant experience, a Master`s degree (scientific field of study) and a minimum of 4 years of relevant experience or may be acquired through a Bachelor`s degree(scientific field of study) and a minimum of 5+ years of relevant experience.