Data Scientist Architect – SAS Python Job Vacancy in citius tech Remote – Updated today

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Job Description : Data Science Architect – SAS Python
ID: 2583 | 10 – 13 yrs | US | careers
Location
US / Remote
Experience
10 – 13 Years
Job Description
As a Data Science Architect – SAS Python, you will be part of an Agile team to build healthcare applications and implement new features while adhering to the best coding development standards.
Your key responsibilities include:
As a Data Science Architect – SAS Python, you will be part of the Enterprise Applications proficiency at CitiusTech, which includes 2,800+ software engineers, Cloud specialists and QA professionals.
Digital transformation, Full Stack engineering, Cloud Computing, mobility, IoT, DevOps, microservices, performance testing, security and automation.
experience in training and developing highly skilled engineers for cutting-edge projects with leading healthcare organizations.
Build next-generation capabilities across a variety of technologies that range from event driven architectures, micro-frontends, microservices and tech such as Docker, Kubernetes, Helm, Graal and Dapr to building and deploying scalable, secure and compliant applications, API and apps natively on AWS, Azure, GCP or IBM Cloud.
Education
Bachelor’s degree or Relevant experience required
Technical certification in multiple technologies is desirable
Mandatory Skills
8+ years of overall experience
Should have 3+ years of programming experience in SAS that includes Data/Proc Steps & Macros, preferably with Base/Advanced Programming certification
Should have 3+ years of experience in Python programming, especially for data analysis
Good knowledge of Statistical concepts including regression, classification, univariate, bivariate, factor analysis, etc.
Desired Skills
Experience in Clinical research is a bonus
Your Team
As a Data Science Architect – SAS Python, you will be part of the Enterprise Applications proficiency at CitiusTech, which includes 2,800+ software engineers, Cloud specialists and QA professionals. The proficiency has rich experience across a range of areas such as digital transformation, Full Stack engineering, Cloud Computing, mobility, IoT, DevOps, microservices, performance testing, security and automation. We provide complete SDLC coverage to help clients at all stages of product roadmap and application development.
We have strong experience in training and developing highly skilled engineers for cutting-edge projects with leading healthcare organizations. We help you build next-generation capabilities across a variety of technologies that range from event driven architectures, micro-frontends, microservices and tech such as Docker, Kubernetes, Helm, Graal and Dapr to building and deploying scalable, secure and compliant applications, API and apps natively on AWS, Azure, GCP or IBM Cloud.
Our success lies in our ability to create a fun, transparent and non-hierarchical work environment which focuses on continuous learning and work life balance. Our strong focus on employee satisfaction and workplace flexibility has made us one of the ‘Best Companies to Work for 10 years in a row (2012-2021).

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