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À propos
Data Scientist
Pay Rate:
$70/hr + DOE
Location:
Foster City, CA / at least 3 days in office
Type:
Full Time
About Our Client
Our client is a pioneering automotive services organization committed to redefining how people move. With a focus on innovation, quality, and user experience, they collaborate across industries to develop transformative solutions that respond to evolving urban needs.
About the Role
We are seeking a Data Scientist to join a perception-focused team responsible for ensuring the quality and reliability of the datasets that power an autonomous vehicle's understanding of its environment. In this role, you will build and optimize data mining and validation frameworks that transform raw sensor data into high-quality training inputs for machine learning models used in object detection and classification. You will play a key role in maintaining the integrity of perception datasets and supporting the development of safe, reliable autonomous systems.
What you will be doing: Manage the data mining process that converts raw sensor logs into structured datasets used for perception model training Establish rigorous quality assurance processes to validate classified objects such as pedestrians, vehicles, and traffic signs Investigate drops in data quality or edge-case failures and communicate root cause findings to engineering teams Define and maintain data quality objectives that reflect the overall health and reliability of perception datasets Collaborate with cross-functional engineering teams who rely on mined data to improve autonomous vehicle performance About You
You are a detail-oriented data professional who thrives on ensuring the reliability and integrity of large-scale datasets. You enjoy uncovering patterns, improving data pipelines, and partnering with engineers to support machine learning systems that operate in complex real-world environments.
Required Qualifications:
Bachelor's degree in a science or engineering discipline with at least 2 years of relevant experience Strong proficiency in Python for scripting, data analysis, and data manipulation Advanced SQL skills for extracting and mining data from large-scale databases Solid understanding of machine learning concepts, particularly related to object classification such as vehicles, bicycles, and traffic signs Strong communication skills with the ability to present technical insights to cross-functional teams Preferred Qualifications:
Experience working with perception systems in robotics or autonomous vehicle environments Knowledge of computer vision fundamentals such as bounding boxes or semantic segmentation Experience with cloud infrastructure and tooling such as AWS, Kubernetes, or Terraform Familiarity with large-scale data orchestration pipelines and automated QA frameworks Experience applying statistical analysis to validate model performance against ground truth datasets
Applicants must be authorized to work for ANY employer in the US. We are unable to sponsor or take over sponsorship of employment Visas.
About Cinder
Cinder is a people-first staffing and recruiting company committed to creating workplaces where employees feel valued, supported, and engaged. Our mission is to leverage our power as a recruiting and consulting company to build workplaces where people thrive. Backed by our ISO 9001 certification, we deliver high-quality staffing solutions, and our clients have rated us over 100% for multiple quarters. Join us and be part of a team that makes a real impact!
Compétences linguistiques
- English
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