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Junior Data Scientist

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Onsite

Junior Data Scientist

Mindlance

Junior Data Scientist

Skills

Data ScienceTesting & QAAI

1 month ago

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Important information


Contract type:

Freelance / Contract

Location:

Cupertino, CA, USA

Work mode:

Onsite

Published on:

24 September 2026

What they need


Job Title: Data Quality Assurance Analyst – Data Integrity/Data Scientist

Job Duration: 12+month contract (Possibility for extension)

Job Location: 100% Onsite Cupertino CA (work in PST hours)

The client is dedicated to creating the best product on the market, striving not only to exceed the standard but to define it.

The Quality Assurance Analyst will be tasked with ensuring data accuracy and integrity through systematic review and quality control processes.

This role focuses on identifying and improving deficiencies to maintain the highest standards of data quality.

Quality Assurance Analyst – Data Integrity Specific Job Duties:

Efficiently identify and correct data issues from Generative AI by reviewing and annotating datasets and imagery.

Collaborate effectively within a team to boost productivity and maintain alignment.

Perform comparative analysis to ensure consistency and accuracy across projects.

Accept feedback with a growth mindset and execute necessary changes promptly and accurately.

Key Qualifications:

Exceptional attention to detail with a focus on maintaining high-quality standards.

Quick learner with the ability to adapt to new tools and workflows effectively.

Strong verbal and written communicator, capable of conveying complex information clearly.

Skilled in analyzing complex or ambiguous issues to identify solutions.

Excellent communication skills for collaboration and feedback sharing.

Proven ability to follow and execute written instructions accurately.

Ability to complete tasks efficiently with rapid iterations and precision.

Skilled in identifying and escalating technical or process-related issues as needed.

Requirements:

Experience in production and QA is preferred but not required.

Familiarity with MacOS is a plus but not required.

Familiarity with annotation tools, GIS software, or data review / data science platforms or education is a bonus

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