Help build technology that saves lives!

LeanTaaS is a fast growing healthcare predictive analytics company that uses sophisticated math and lean principles to make healthcare providers more efficient. Our technology helps millions of people wait less at hospitals and speciality clinics across the country. LeanTaaS’ customers include some of the nation’s largest hospitals including Stanford, Cleveland Clinic, NewYork-Presbyterian, the University of Texas MD Anderson, and more. Our vision is to build an Air Traffic Control for hospitals that monitors patient flow across the system and automatically routes the right care to the right patient at the right time. Our team includes veteran executives and the brightest minds from Google, McKinsey, Stanford, MIT, Duke, Berkeley, UIUC, and more.    

LeanTaaS is looking for extraordinary data scientists to synthesize and leverage massive data sets to help radically transform data into products.. The 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 mid/senior level position of 1-3+ 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 
• Work with data analysts, software engineers, and product managers to contribute on building and implementing models. 

Qualifications & Experience

• Strong quantitative and analytical skills with an advanced degree in a STEM discipline (PhD preferred) 
• Experience using Python, R and SQL; C/C++ experience is a plus
• Strong problem-solving skills from data exploration > hypothesis development > hypothesis testing > production-ready models 
• 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)

At LeanTaaS, we value diversity and always treat all employees and job applicants based on merit, qualifications, competence, and talent. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.