Data Quality Engineer
2 weeks 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.
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