Senior Data Scientist, Market Optimization

Key Skills

A/B Testing, Cohort analysis, D3.js, Data science techniques, Machine learning techniques, Mathematics, Predictive analytics, Predictive Modeling, Python Programming, Statistical modeling, Statistics

Job Description

Nursa is revolutionizing the temporary healthcare staffing industry by delivering an unparalleled level of transparency and accessibility to healthcare providers, and living out our mission to enrich the life of every clinician with innovation and opportunity. We’re committed to helping professionals such as registered nurses (RNs), licensed practical nurses (LPNs), and certified nursing assistants (CNAs) advance their careers by giving them the power to choose from available shifts provided by facilities in their area. In turn, Nursa’s marketplace platform technology empowers healthcare facilities to bring in the talent they need without spending time and resources on traditional nursing recruitment processes. By connecting healthcare clinicians and healthcare facilities to fill per diem and on-call shifts, the Nursa marketplace increases access and transparency to the $17 billion temporary clinician staffing industry. We’re a profitable, venture backed startup founded in March 2020 and are rapidly expanding. Your impact will not only be on the business, but also on the daily lives of healthcare providers and the quality of care everyone experiences.

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