Senior Data Scientist, Algorithm Development - San Francisco, CA, United States - Nuna

Description

At Nuna, our mission is to make high-quality healthcare affordable and accessible for everyone.

Nuna is committed to simple principles:
a rigorous understanding of data, modern technology, and most importantly, compassion and care for our fellow human. Nuna partners with healthcare payers, providers, and patients to turn data into learnings and information into meaning.
The Data Organization at Nuna is an interdisciplinary group spanning data science, data analytics, actuarial science, and research. The team is responsible for supporting Nuna's products through healthcare expertise, rigorous evaluation, monitoring and analytics, and algorithm development.
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. Data science works closely with other members of the data organization, engineering, product, and account management teams.

This opportunity will be focused on work that supports Nuna's Meaningful Matches product, which improves cost, quality, and patient satisfaction by guiding patients to the right primary care physician (PCP) for their healthcare needs.

You will develop new machine learning models, improve existing models, and evaluate performance to expand the business impact of one of Nuna's core algorithmic products.

You will help to ensure that client needs are being met and guide them in providing the data and technical requirements for successful deployment.

Contribute to automation of repeated evaluation processes
Collaborate with cross-functional partners to ensure sufficient training data, model integration in software, and alignment on goals/timeline
Experience designing, training, implementing, and evaluating machine learning algorithms that have launched to customers
~ Proficient in python
~ Interest in improving healthcare and working with interdisciplinary project teams
~ MS in a quantitative field (e.g. Data Science, Economics, Statistics, Engineering)
~Experience working with healthcare data (e.g., claims)
~ Experience scaling models and analysis across large datasets
~ PhD in a quantitative field
~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. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, genetics and/or veteran status.
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