Data Scientist

October 1

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LeanTaaS

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lower wait times • nurse & patient satisfaction • predictive modeling • data science • patient access

201 - 500

💰 $130M Series D on 2020-12

Description

• We are a growth stage company that creates software solutions combining lean principles, predictive and prescriptive analytics, and machine learning to transform hospital and infusion center operations. • More than 180 health systems and over 1,000 hospitals and centers across 49 states rely on our award-winning products to increase patient access, decrease wait times, and reduce healthcare delivery costs. • We have raised more than $300 million from top-tier investors such as Bain Capital, Insight Partners, and Goldman Sachs. • We have been named among the top 100 AI companies in the world. • Please note that while this role is listed as available for remote, we are currently employing in the following states: AK, AZ, CA, CO, CT, DC, FL, GA, IL, IN, KS, LA, MA, MD, ME, MI, MO, MT, NC, NH, NJ, NY, OH, OR, PA, SC, TN, TX, UT, VA, WA, WI, WV. • If your state is not listed, we may not be able to proceed with your application. We have offices in Santa Clara, CA and Charlotte, NC for employees who prefer to work regularly or occasionally from an office.

Requirements

• Masters or PhD degree in operations research, machine learning, or a related field and 2+ years of related industry or academic experience • Strong analytical and problem solving skills and a deep understanding in at least one sub-area of operations research or machine learning • Excellent command on Python and SQL and a passion for writing readable code • Experience with Jupyter Notebooks • Proven collaboration skills with cross-functional species like product managers, data engineers, and data analysts • Data skills and the ability to communicate complex quantitative matters in a clear, precise, and actionable manner