LeanTaaS is a software company that uses lean principles and predictive analytics to mathematically match the demand for expensive, constrained healthcare resources – operating rooms, infusion chairs, etc. – with supply. More than 40 providers across the nation – including Stanford, UCSF, UCHealth, New York-Presbyterian and Wake Forest – rely on LeanTaaS’s iQueue cloud-based platform to increase patient access, decrease wait times, and reduce healthcare delivery costs. The HIPAA-compliant, non-invasive cloud-based SaaS platform coexists with current EHR systems and integrates seamlessly with existing scheduling and operational workflows.   

We’re a team of ex-Google/McKinsey veterans backed by industry leaders in the healthcare space. We believe that predictive analytics is the answer to our nation’s looming healthcare crisis.    

LeanTaaS is looking for extraordinary data scientists to synthesize and leverage massive data sets to help radically transform the operational performance for healthcare providers through our iQueue product suite.

The Senior Data Scientist role involves working on all stages of the data science pipeline, from acquiring and munging data, selecting appropriate models and algorithms and/or deriving custom algorithms, testing and evaluating these algorithms and models, and incorporating them into a commercial product. She/He will work with a team of Data Scientists to create bleeding edge analytic technology.  

This is a chance to get in early with a rapidly growing Silicon Valley company, and to participate in developing the next generation of truly game changing, healthcare-related products. This is a Senior-level position of 3-5+ years of prior experience.

Key Responsibilities

• Analyze various data sets and build sophisticated mathematical/statistical models 
• Design and optimize algorithms to achieve the best solutions 
• Develop innovative strategies, processes, and best practices in several functional areas including operations, customer satisfaction, and marketing
• Drives the execution of multiple business plans and projects  
• Help deliver complete solutions to various industries including consumer goods, retail, healthcare, and technology

Qualifications & Experience

• Strong quantitative and analytical skills with an advanced degree in a STEM discipline (PhD preferred) 
• Experience using at least two of the following: R, Python, C, C++, SQL, Java
• Experience analyzing data sets, building mathematical/statistical models and/or optimization algorithms 
• Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner 
• Ability to work collaboratively and independently

Personal Characteristics

• A passion for data science and problem solving in general
• Self driven individual who can take a high level idea and see it through to completion with minimal supervision 
• The desire and ability to work in a fast paced, start-up atmosphere
• Takes a pragmatic approach to problem-solving, combined with the ability to thrive under the pressure of constant change and moving objectives 
• Ability to work under tight deadlines and display grace under pressure
• Excellent organizational, interpersonal, and communication skills (both written and verbal)

All your information will be kept confidential according to EEO guidelines.