Data Science Engineer

Profile

Data Science Engineer','10201-23083','United States-Tennessee-Nashville-Corporate Main Campus','Full-time','Information Technology','!*!About HCA
Nashville-based HCA is one of the nation's leading providers of healthcare services, operating 171 locally managed hospitals and 119 freestanding surgery centers in 20 states and the United Kingdom. With its founding in 1968, HCA created a new model for hospital care in the United States, using combined resources to strengthen hospitals, deliver patient-focused care and improve the practice of medicine. HCA has conducted a number of clinical studies, including one that demonstrated that full-term delivery is healthier than early elective delivery of babies and another that identified a clinical protocol that can reduce bloodstream infections in ICU patients by 44 percent. HCA is a learning healthcare system that uses its more than 27 million annual patient encounters to advance science, improve patient care and save lives.
 
About CSG

The Data Science (DS) team is responsible for the expansion of business processes and performance related to HCA's Clinical Services Group (CSG) strategy.  The Data Science Engineer is a subject-matter specialist who actively participates in the development and implementation of Data Science requirements as they relate to the clinical, administrative and financial process and variations in the CSG Data Science program.  The Analytics Engineer will support data management, storage and efficient computation for analysis.  
 
 
Duties and Responsibilities
 This engineer delivers on development commitments from start to finish for all aspects of the Data Science organization within Clinical Services Group (CSG).  This technically focused position is responsible for designing, developing, testing and deploying our Data Science solutions across the Enterprise. This engineer can quickly learn and maintain existing solutions as well as new development.  They will provide key problem resolutions for production systems as needed.  They have an in depth understanding of the services provided by Clinical Services Group, Data Science and can develop relationships throughout the organization to assist in accomplishing its goals for the company.  This engineer strategically designs, constructs, and implements software in a software development environment.  This includes selecting, gathering requirements for, designing, and implementing solutions for consumers throughout the enterprise.  This engineer is a highly motivated self-starter and is committed to delivering high quality solutions within agreed upon timelines.
 
 

Qualifications 
 

3 years of experience in most of the following:

 
We are looking for experts in these areas. If you don’t have experience in some of these, you are able to work collaboratively on a cross-functional team that builds Data Science signal delivery, data pipeline, and DevOps infrastructure.
 


Experience with Hadoop, Spark, Kafka, Cassandra (i.e. distributed compute and storage)

Extensive expertise/experience in data analysis, modeling and visualization required

Extensive expertise/experience in data acquisition, data cleansing and parsing required.

Mastery of multiple business intelligence platforms (e.g., Tableau, Qlik, MicroStrategy) required.

User Interface design and development (e.g. JavaScript, Elixir, Phoenix, and other web stack technologies)

Mastery of Teradata SQL required; extensive experience in other ANSI SQL languages (e.g., MSSQL, Oracle, Postgres) required.

Experience with container-based platforms such as Docker, Kubernetes, OpenShift, Mesosphere, Rancher, and CoreOS

Extensive Experience with container monitoring applications such as monitoring solutions such as SysDig, Data Dog, AppDynamics, New Relic, Nagios, and Zabbix

SQL experience / database interrogation techniques

ETL experience required
 

 


Linux command line skill is required

Mastery of one or more formal development languages (e.g., Python, R, JavaScript, Ruby, Scala, or Clojure) required

Extensive expertise/experience in the areas of data structures, warehousing, and profiling

Experience using a distributed version control system (DVCS; e.g., GitHub, TFS) a plus.
 


Scrum, Agile, Lean Product Development, Domain Driven Design

Excellent communication skills, both written and verbal

Experience and knowledge with Service Oriented Architecture (SOA)

Healthcare experience, preferable

Exposure to the fundamentals of Enterprise Architecture (preferred)

 
 Education and Experience  

Bachelor’s degree required; Master’s degree preferred. 
Experience in healthcare preferred. 
7 years of relevant work experience required. 
 ','','Data Science Engineer

Company info

Sign Up Now - WashingtondcCrossing.com