Data Scientist

1 day ago


Lincoln, Nebraska, United States Bryan Health Full time
Job Summary:

As a Data Engineer at Bryan Health, you will be responsible for designing, managing, and maintaining analytics datasets, sources, and reporting infrastructure. You will serve as an expert and key resource for Data Governance, standards, and applications across the organization. Additionally, you will work with stakeholders to scope, build, and implement key data and analytics initiatives.

Key Responsibilities:

1. Develop and maintain large, complex datasets and data infrastructure.
2. Build and automate ETL processes for data inside and outside the organization.
3. Use, build, and monitor tools to ensure data quality and accuracy.
4. Work with internal and external customers and partners to gather, validate, and implement data requirements.
5. Collaborate with leaders and end-users to define business problems and appropriate solutions, including project scoping and technical requirements.

Requirements:

Highly proficient in SQL and relational database concepts. Knowledge of metadata management, data quality, stewardship, etc. Ability to communicate effectively both verbally and in writing. Ability to establish and maintain effective working relationships with all levels of personnel and medical staff. Ability to demonstrate critical thinking and analytical skills. Ability to maintain confidentiality relevant to sensitive information. Ability to prioritize work demands and work with minimal supervision. Ability to adhere and adapt to current and improving standards. Ability to maintain regular and punctual attendance.

Education and Experience:
Bachelor's degree in Computer Science, Analytics, Informatics, Information Technology, Statistics, or related field required. Five (5) years of related experience required. Master's degree in Computer Science, Analytics, Informatics, Information Technology, or Statistics preferred. Minimum of four (4) years developing pipelines in a complex data environment preferred. Experience with full stack development helpful, especially Docker and data science tools (Python and R) preferred. Knowledge of multiple healthcare-related functional areas (i.e., pharmacy, surgery, nursing, emergency department, hospital billing, etc.) preferred.

Other Credentials/Certifications:
Epic Clarity or Caboodle and Data Model certification highly preferred. Cloud development certification highly preferred.

Work Hours:
Monday-Friday 8 AM to 5 PM. This position offers a hybrid work arrangement, with a requirement of three days per week in office.
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