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Senior Data Scientist, LLM

NunaSan Francisco, California, United StatesOnsite
This job is no longer open

At Nuna, our mission is to make high-quality healthcare affordable and accessible for everyone. We are dedicated to tackling one of our nation’s biggest problems with ingenuity, creativity, and a keen moral compass.
Nuna is committed to simple principles: a rigorous understanding of data, modern technology, and most importantly, compassion and care for our fellow human. We want to know what really works, what doesn't—and why. 

YOUR TEAM


The Data Organization at Nuna is an interdisciplinary group spanning data science, machine learning, data analytics, actuarial science, and research.  The Data Science team is responsible for evaluating impact and developing critical algorithmic features across Nuna’s product suite. This involves bringing analytical rigor to product definition, monitoring, and evaluation, as well as design and development of predictive algorithms. The Data Science team takes ownership from the definition of input data requirements through to ensuring successful implementation.

The team has a strong culture of internal algorithm review and collaboration. Data science works closely with engineering, product, design, and account management teams.  

YOUR OPPORTUNITIES


We are looking for someone who is excited to use their creativity and analytical skills to make a difference in healthcare. You will join a team building a consumer product that incentivizes healthy behavior. You will have a foundational role in this product and be responsible for building out a core capability around LLM safety and evaluation.   

  • Design critical algorithmic components of an LLM evaluation system
  • Generate insights from large corpuses of free text data
  • Keep up to date with the latest advances in LLM tooling and capabilities
  • Curate and develop datasets needed to support your project deliverables
  • Collaborate with cross-functional partners in engineering, design, and product to develop solutions
  • Generate and prioritize new opportunities for improvements 

QUALIFICATIONS


Required Qualifications


  • Experience with NLP and/or LLM-based algorithms 
  • Have shipped production algorithms to customers
  • Strong machine learning fundamentals
  • Ability to solicit and translate customer and business needs into requirements and an evaluation framework
  • Interest in improving healthcare and working with interdisciplinary project teams
  • Clear communication and presentation skills 
  • MS in a quantitative field (e.g. Data Science, Economics, Statistics, Engineering)
  • 5-10 years of industry experience 

Preferred Qualifications


  • Experience fine-tuning LLM models
  • Experience working with medical text data
  • PhD in a quantitative field
  • 3-5 years of industry experience

We take into account an individual’s qualifications, skillset, and experience in determining final salary. This role is eligible for health insurance, life insurance, retirement benefits, participation in the company’s equity program, paid time off, including vacation and sick leave. The expected salary range for this position is $216,000 to $249,000. The actual offer will be at the company’s sole discretion and determined by relevant business considerations, including the final candidate’s qualifications, years of experience, and skillset.#LI-NP1 #LI-HybridNuna is an Equal Employment Opportunity employer.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, genetics and/or veteran status.

This job is no longer open

Life at Nuna

Nuna’s mission is to be the most trusted partner in the healthcare industry. We want to inform meaningful change, and every day we strive to realize a vision of America where affordable, high-quality healthcare is available to everyone. We're on the side of patients, and champion equity, empathy, quality, and accountability in everything we do.Everyone deserves a healthy life—that’s why Nuna partners with government, employers, and health plans to improve quality of care.
Thrive Here & What We Value* Making high-quality healthcare accessible and affordable* Simple principles: data understanding, modern technology, compassionate care* Empowering team members with cutting-edge tools for innovation and collaboration* Proactive problem-solving and deep understanding of colleagues' needs* Building cloud infrastructure to support Nunas goals* Partnering with healthcare stakeholders to turn data into meaningful insights* Collaborative engineering environment with best practices in code review, readability, maintainability, and security* Innovating mobile experiences for iOS platform* Value-based care solutions provider* Consumer product promoting healthy behavior
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