Principal Data Scientist

An insurance client is looking for a Principal Data Scientist to join their growing AI / ML organization. This person will be focused within leading the team and providing high level technical delivery for the enterprise. Day to day includes guiding team members through code reviews and projects, leading junior team members by providing insight and direction, and delivery technically. This person is the highest level of individual contributor at the company, so autonomy over their process and work, delivering over long-term projects and continuous improvements over multiple work cycles, and providing leadership and coaching are core experiences that will be leveraged in this role. The company sits in Portland, Oregon and works core PST hours.

Core Technical Skills:
- Evaluating LLM systems on their dynamic and systematic output
- Monitoring models post deployment as they are in production, the intervention / training used for this
- RAG Architecture
- Deep Learning: Neural Network experience
- Model deployment pipeline, deploying a model object across environments or in separate environments
- Stakeholder Management
- Aligning data science goals across the technology teams, ensuring alignment

We are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to Human Resources Request Form. The EEOC "Know Your Rights" Poster is available here.

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- Bachelor's Degree in a related field
- 10+ years of experience in the Data Science field in an enterprise environment
- Expert technical experience with Microsoft products, experience with Azure cloud, Databricks, Python, PySpark, Fabric, preferred
- Experience deploying large language models (LLM), experience with GPT-4 / LLaMA / PaLM / etc.
- Retrieval Augment architecture experience (RAG), providing enhancements and ability to evaluate impact on performance
- Deep learning experience, specifically with Neural Networks
- ML Operations experience, specifically with building model deployment pipelines
-Experience coaching and mentoring team members

- Master's Degree

- DSPy experience / knowledge

- Experience in the insurance / banking / finance space and working with highly regulated data

Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.