Successful candidate will:
He / She will build deliverables like decision automation, process optimization models, payment behavior analysis, prediction models etc.that give healthcare providers the edge in affordable business decision making and that can scale with their demands. The role sits in the sweet spot between technology development and customer business needs and provides opportunity for growth, high business impact and working with seasoned business leaders.
Position Responsibilities
Write software code to enable and automate data science model training and deployment.
Build and enhance platforms to enable predictive models to run at scale.
Build and enhance platforms to enable scalable training of predictive models.
Investigate and adapt new software platforms for data science and data engineering
Write software documentation to explain to users the functionality and utilization of various programs.
Develop code to process data more quickly, to enable rapid experimentation in an increasingly nimble engineering organization.
Help implement our business logic to be compatible with on-premise and hosted processing frameworks.
Proven analytical and quantitative ability and a passion for enabling customers to use data and metrics to back up assumptions, develop business cases, and complete root cause analyses.
Technical Qualifications
- 2 to 3 years of developing in Python
- Hands on experience with AWS cloud platform
- Experience with a data integration tool is preferred. Tableau Prep.
- Proficiency in SQL, NoSQL, relational database design and methods
Desired Qualifications
Bachelor’s degree in ComputerScience or related field or equivalent experience. 2+ years of experience in the field or in a related area. Software engineering proficiency in 2+programming languages, SQL databases, noSQL databases, writing and consumingAPIs, version control and code testing.
Experience writing or maintaining open source software, deploying code for production use by others, programming languages used for data science (e.g. Python), application containers (e.g.Docker), streaming data, working with data scientists, statistics coursework, compute clouds, creating database schemas, Linux administration and continuous integration/continuous deployment experience is preferred.
Etyon,Inc. is an Equal Employment Opportunity and Affirmative Action Employer.Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. Head hunters and recruitment agencies may not submit resumes/CVs through this Web site or directly to any Etyon, Inc. employee. Etyon, Inc. does not accept unsolicited headhunter and agency resumes. Etyon, Inc. will not pay fees to any third-party agency or company that does not have a signed agreement with Etyon, Inc.