Data Quality Engineer
1 month ago
Create unit tests throughout the data and algorithms domain:
Work with engineering and business teams to implement wide-coverage unit tests
of data and engineered features at different stages throughout the data collection
and processing pipeline;
Create unit tests of inputs to and outputs from the algorithms that drive the clinical
service;
The unit tests include validation of the inputs and outputs of black-box machine
learning algorithms;
Establish a regular process to execute the tests and document their outcomes as
a part of our product development and release lifecycle;
2. Implement and refine mechanisms to continuously archive the state of algorithmic inputs
and outputs:
Implement a process of taking snapshots of data/features input into algorithms
necessary to recreate their outputs/predictions at any point in the past during the
service;
Communicate requirements to the software development team
3. Assist in the successful delivery of regular service analytics and reports:
Support the business and analytics teams in their daily and weekly delivery of
reports on data completion, user engagement, and algorithm actions by
addressing any data quality and validation requirements;
REQUIREMENTS
a) Bachelor's degree in computer science, engineering, business analytics, technology, or a
related field.
b) Minimum of 2 years of experience in data engineering, data analytics, or data product
management roles within the tech industry. Experience in healthcare is a plus.
c) Ability to implement tests in Python.
d) Good understanding of the validation requirements of an algorithmic product. Knowledge of
healthcare regulation and auditing requirements is a plus.
Tell employers what skills you have
Product Knowledge
Machine Learning
Iso Requirements
Quality Management
Healthcare
VBA
Data Quality
Auditing
Data Engineering
Product Management
Adaptability
Python
Business Analytics
Product Development
Data Analytics
Software Development
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