Mercy

We’re a Little Different

Our mission is clear. We bring to life a healing ministry through our compassionate care and exceptional service.

At Mercy, we believe in careers that match the unique gifts of unique individuals – careers that not only make the most of your skills and talents, but also your heart. Join us and discover why Modern Healthcare Magazine named us in its “Top 100 Places to Work.”

Overview: Data Scientist

Position can be Remote (Work from Home)

Mercy is seeking a Data Scientist to work within a team of other advanced professional data scientists, engineers, and application developers in the generation, extraction, and compilation of data to perform creative, high-quality, state-of-the-art analyses and evaluations that produce insights, support decision-making, and drive impact within a leading and transforming healthcare organization. This position will support Mercy’s efforts to deliver on the vision of personalized, predictive, and proactive care. The candidate should demonstrate expertise with data extraction, management, analysis with data analytics tools, and be able deliver outputs on a timeline. The candidate should be able to effectively document, develop, and communicate project plans and analytic findings with a variety of technical/non-technical stakeholders. This candidate will report directly to the Executive Director of Enterprise Data Science.

Qualifications:

Experience: At least 2 years of experience in a similar role in academia or industry or PhD + 1 years in a similar role in academia or industry
Required Education: At least 2 years of experience in a similar role in academia or industry or PhD + 1 years in a similar role in academia or industry
Other:

Have a strong knowledge of electronic medical record data, clinical data, claims data, or financial data.
Experience with SQL
Intermediate/Advanced development skills with at least one scripting language (Python, R, etc.)
Ability to quickly learn new analytic tools and packages
Ability to develop and apply computational algorithms and statistical methods to healthcare data (including, but not limited to data from electronic medical record, financia

Chesterfield, MO 63017

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