Job Description

About the Role We are looking for Senior Data Scientists to own how VinFast measures the quality of its ADAS training data and the performance of the models trained on it. The team is the independent referee of the data operation: it answers, with evidence rather than opinion, how good our labelled data is and how good our models are. This is a broad role . You will design evaluation methods, build the automation that runs them, define the standards annotators work to, and present findings to engineering and management. We do not split the team into analysts and engineers: everyone is expected to take a question from definition through measurement to a recommendation, and to grow across the whole scope over time. Work is assigned according to what the programme needs at that moment, not by a fixed job boundary. Tech stack: Python with pandas and numpy , PyTorch for working with model outputs, SQL, and dashboarding tools. What the Team Covers You will contribute across all of the following over time. We do not expect one person to master every part on day one, but we do expect you to be willing to work in any of them. Evaluation of model performance against a controlled reference dataset Measurement of annotation quality and the accuracy of automatic pre-labels Automated quality checks over labelled data at scale Annotation standards, guidelines and acceptance criteria Reporting and dashboards for engineering teams and management Key Responsibilities Evaluation & Analysis Design and run model evaluation against a controlled reference dataset, broken down by class and by condition Compare model versions and explain what changed and why Analyze errors and turn findings into concrete improvement actions for the modelling team Quality Automation Build automated checks that detect labelling errors, inconsistency and distribution drift Measure agreement between annotators and against a reference standard Develop tooling that lets a small quality team supervise a large annotation workforce Standards & Reporting Define and maintain annotation guidelines and acceptance criteria Own the decision on whether a batch of labelled data meets the standard for release Report quality and performance trends to engineering teams and to management Requirements 5+ years in data science, machine learning evaluation or data quality, with ownership of a measurement function Strong Python with pandas and numpy ; SQL Solid working knowledge of model evaluation metrics for detection, classification or tracking Applied statistics: sampling, agreement measures, distribution comparison Experience building automated data quality checks at scale Ability to write clearly and present findings to both engineers and non-technical stakeholders Willingness to work across the full scope — evaluation, automation and standards — rather than within a single specialty Nice to Have Experience evaluating computer vision models (detection, segmentation, tracking) Experience with annotation operations, or auditing an external labelling vendor Experience designing a benchmark or reference dataset Dashboarding and data visualisation experience Background in autonomous driving or another safety-relevant domain Benefits Competitive salary Premium healthcare package, including PVI insurance & annual health check-ups 13th-month salary & performance bonuses to reward your contributions Enjoy preferential pricing for services within the Vingroup ecosystem including Vinmec, Vinpearl, and Vinschool... Opportunity to collaborate with and learn from industry-leading professionals in the automotive domain Work Location: Technopark Tower, Gia Lam, Ha Noi With respect to all your personal data shared to VinFast in the application and the entire recruitment process of VinFast, by clicking “Apply”, submitting your resumé/CV and/or participating in VinFast's recruitment process, you agree that you have read VinFast's Personal Data Protection Policy ("Policy") posted at https://vinfastauto.com/vn_vi/dieu-khoan-phap-ly or https://vinfast.vn/privacy-policy/ , you agree to the Policy and consent for VinFast to process your personal data in accordance with the Policy and the applicable regulations on personal data protection. To all recruitment agencies : VinFast does not accept agency resumes. Please do not forward resumes to our careers alias or other VinFast employees. VinFast is not responsible for any fees related to unsolicited resumes.