Senior Data Scientist
ExternalFull-timeRemote1d ago
Computer VisionConfluenceGitJiraLeadershipMachine Learning
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Responsibilities
- Cross-Functional Coordination: Work with partner ML and Annotation engineers and TPMs to spec out data and training requirements.
- Data Strategy & Pipeline Oversight: Ensure that datasets are correctly curated, filtered, and processed to meet the rigorous standards of production-level machine learning.
- Requirements Translation: Act as a technical translator, taking high-level project goals and turning them into actionable data specs for engineering and annotation teams.
- Quality Assurance & Analysis: Maintain high standards for data integrity, ensuring that the media datasets used for training are representative and accurate.
- Master's Degree or certification in Data Science or related computational sciences field.
- 3+ years of relevant industry experience in a fast paced, high growth tech environment.
- Professional Experience: Proven experience as a Data Scientist in a fast-paced environment.
- Domain Context: Prior experience in industries with complex multi-disciplinary teams such as robotics, smart grids, precision agriculture, game development, or aerospace.
- Technical Proficiency: Core Tools: Fluency with Python, Git, and the Unix shell.
- Ecosystem: Familiarity with collaborative tools such as Jira/Confluence, Slack, a Git server, and an experiment tracking framework.
- Data Visualization: Familiarity with data visualization and inspection tools specifically designed for computer vision and 3D data, such as FiftyOne.
- Fundamentals: Deep understanding of data science fundamentals and a strong mathematical background.
- Attributes: Conscientiousness: High attention to detail and commitment to data accuracy.
- Communication: Ability to collaborate effectively across different engineering disciplines to define and execute technical requirements.
Benefits
Dental insuranceVision insurance401(k)
Additional Information
We are seeking a Senior Data Scientist with experience manipulating large 2D and 3D media datasets. This role is centered on bridging the gap between raw data and high-quality machine learning inputs, requiring a blend of technical expertise and cross-functional leadership.
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Company Intel
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