Job Title: Senior Data Scientist Computer Vision (End-to-End Delivery & Technical Ownership)
Industry: Power Utilities
Location: Remote (Candidates must reside in the San Francisco, CA area)
Duration: 6 12 Months Contract
Rate: $70/hr. (All-Inclusive)
Visa: USC and GC
Candidates must have active LinkedIn with Picture and need 2 manager refrences.
Required Qualifications
• PhD in Computer Science, Machine Learning, Data Science, Statistics, Engineering, Mathematics, or a related quantitative discipline, or equivalent practical experience.
• Seven or more years of hands-on experience developing and delivering production-grade Computer Vision and Machine Learning solutions.
• Demonstrated experience owning end-to-end projects from business problem definition through deployment, production support, stakeholder adoption, and measurable business outcomes.
• Strong expertise in Computer Vision, including object detection, image classification, anomaly detection, segmentation, and modern deep learning methodologies.
• Advanced Python skills with experience using PyTorch, TensorFlow, or similar frameworks. Experience working with large-scale image datasets, cloud-based ML environments, MLOps practices, model deployment, monitoring, and lifecycle management.
• Strong understanding of model validation, experimentation, performance evaluation, and error analysis methodologies used in production environments.
Preferred Qualifications
• Experience within utilities, infrastructure inspection, industrial operations, manufacturing, asset management, or related industries where image-based analytics support operational decision-making.
• Experience with vision foundation models, few-shot learning, transfer learning, and low-supervision techniques. Previous experience developing anomaly detection solutions in real-world inspection environments is highly desirable.
• Prior experience establishing reusable Computer Vision frameworks, standards, governance processes, and delivery methodologies across multiple projects is a plus.