Looking for a contractor to fill a role with a major US retail healthcare provider. 60% of our past contractors placed have lead to full time employment positions on an internal data science team. High hourly rate!! Fully Remote! 40 hours a week, 9am-5pm EST. We’re seeking a highly skilled and experienced Senior Data Scientist on a contract basis. This role will focus on developing and deploying advanced machine learning models, with a strong emphasis on video analytics and optical character recognition (OCR). You’ll collaborate with cross-functional teams to extract actionable insights from complex data sources and help drive innovation in computer vision applications. Key Responsibilities • Design, build, and optimize machine learning models for video analysis and OCR tasks • Develop pipelines for processing and analyzing large-scale video datasets • Apply deep learning techniques (e.g., CNNs, RNNs, Transformers) to extract features and detect patterns in visual data • Implement OCR solutions using tools like Tesseract, EasyOCR, or custom deep learning models • Collaborate with engineering teams to deploy models into production environments • Conduct exploratory data analysis and present findings to stakeholders • Stay current with the latest research and trends in computer vision and machine learning Required Skills & Qualifications • 5+ years of experience in data science or machine learning roles • Strong proficiency in Python and libraries such as NumPy, Pandas, Scikit-learn, OpenCV, TensorFlow, or PyTorch • Hands-on experience with video analytics, including object detection, tracking, and activity recognition • Proven expertise in OCR techniques and tools (e.g., Tesseract, EasyOCR, Google Vision API) • Familiarity with cloud platforms (GCP, or Azure) and containerization (Docker, Kubernetes) • Experience with data visualization tools (e.g., Matplotlib, Seaborn, Plotly) • Excellent problem-solving skills and ability to work independently Preferred Qualifications • Experience with edge computing or real-time video processing • Knowledge of NLP techniques for post-OCR text analysis • Familiarity with MLOps tools and practices • Background in computer vision research or publications in relevant fields