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Senior Data Scientist, Market Optimization
Location
Remote
Type
Full time
Compensation
- Candidates located in San Francisco Bay Area, New York, Seattle, Los Angeles, or Washington DC$166K – $196K • Offers Equity
- Candidates in Denver, Portland, Sacramento, San Diego, Utah, Austin, Boston, Chicago, Miami, Philadelphia$133.3K – $156.8K • Offers Equity
- All Other Locations$116.6K – $137.2K • Offers Equity
OverviewApplication
Nursa is a healthcare platform that directly addresses the severe staffing challenges confronting the U.S. healthcare system by connecting qualified registered nurses (RNs), licensed practical nurses (LPNs), and certified nursing assistants (CNAs) seeking flexible work with facilities in need of help. Founded in 2019, we are a rapidly expanding venture backed startup whose mission is to put a nurse at the bedside of every patient in need. With your help, we will be able to enrich the lives of nurses and be a valued partner in delivering effective, compassionate patient care in every market we serve.
Role overview:
The Marketplace Optimization Data Scientist will report to the Head of Data, working cross-functionally with Product, Strategic Operations, Engineering, and other internal stakeholders supporting the iterative improvement of Nursa’s ability to match clinician to job opportunities. You will:
- research using statistical modeling and simulation methods, and
- development of a world-class solution in production code.
- develop metrics for the understanding of match probability, match scoring, and match efficacy.
This role may be remote or hybrid.
Responsibilities:
- Statistical analysis and modeling of app users’ behaviors, preferences, and demographics
- Research using mathematical, statistical, and econometric models. Advanced knowledge of machine learning methodology, and clustering techniques.
- Writing production-grade code for implementation of match optimization models
Qualifications:
- Excellent abilities in Python development (and D3.js is a plus!)
- Understanding of commonly used probabilistic and statistical methods, including hypothesis testing, confidence intervals, A/B tests, predictive models, simulation, clustering
- Experience with cohort analysis
- Doctorate degree in mathematics, data science, statistics, computer science, or equivalent plus 2+ years of relevant experience; OR Master’s degree in the above plus 5+ years of relevant experience
What you get in return:
- Opportunity to revolutionize healthcare industry and build both relationships and teams that make a tangible impact
- We empower team members to act intelligently and be owners, believing that execution is everything, and have designed a learning-focused environment where you get ongoing support and regular feedback to help you grow
- An opportunity to join an international team with a work culture that is based on trust, flexibility, and curiosity
- Competitive salary and benefits