Data Scientist (US Remote)

Sorry, this job was removed at 06:21 p.m. (CST) on Monday, Jan 13, 2025
Hiring Remotely in USA
Remote
120K-165K Annually
Healthtech
The Role

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 190 health systems and over 1,200 hospitals and centers across 49 states rely on our award-winning products and expert change management services 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, NV, 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.

WHAT YOU’LL DO

  • Make sense of complex electronic health record (EHR) data related to surgeries, doctors, patients, etc. and help us derive greater value from our data
  • Enhance our simulation, optimization, and AI/ML capabilities
  • Own your projects end-to-end including a technology stack, data consumption, modeling, algorithm development and evaluation, and production deployment and maintenance
  • Wear a product hat to ideate and iterate on features and experiences that allow your users to run hospitals like a clock

WHAT YOU’LL BRING

  • 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

BONUS POINTS IF YOU HAVE

  • Experience in causal analysis 
  • Experience working on healthcare products

Vaccination policy

We have an obligation to protect our employees, our customers, and the patients of our customers. Therefore, COVID-19 vaccination is required to work from the office, attend in-person company events, or to travel on behalf of the company.


Candidates must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is not available for this position.


LeanTaaS is an equal opportunity employer committed to promoting an inclusive work environment free of discrimination and harassment. We value diversity, inclusion, and aim to provide a sense of belonging for everyone. All qualified applicants for employment will be considered without regard to race, color, sex, gender identity, gender expression, religion, age, national origin or ancestry, citizenship, physical or mental disability, medical condition, family care status, marital status, domestic partner status, sexual orientation, genetic information, military or veteran status, or any other basis protected by federal, state or local laws. If you require assistance during the application process, please reach out to [email protected]. LeanTaaS will reasonably accommodate qualified individuals with disabilities to the extent required by applicable law.


Please note: LeanTaaS is not accepting agency resumes at this time, and we are not responsible for any fees related to unsolicited resumes. Thank you.

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The Company
Santa Clara, CA
243 Employees
Year Founded: 2010

What We Do

Healthcare reform, an aging population, a higher incidence of chronic disease, and a global pandemic have caused the demand for healthcare services to escalate quickly. At the same time pressure from payers to eliminate waste requires that healthcare providers do more with less to meet this skyrocketing demand with the resources in which they have already invested. And this situation is only going to get worse.

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