Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.

Are you excited about Research and implement new detection capabilities for use within our Media Analysis Framework(MAF). You will rely on your experience in computer vision and machine learning to extract insightful metadata from the video. You will work closely with other researchers and engineers to create algorithms for multi-modal analysis of video. Additionally, you’ll ensure that your components are well-tested, production-ready, and performant at scale.

Key Responsibilities:

• Research and develop analysis methods that extend the Media Analysis Framework, including video/image/audio processing and machine learning methods, to extract meaning and produce timestamped metadata from video content.
• Develop and test software components that implement your analysis methods for integration in to production systems. Work closely with other researchers and engineers to fit components into well-established workflows and systems.
• Work with other researchers, engineers, product managers, and business partners to rapidly prototype algorithms for proof-of-concept demonstrations.
• Collaborate closely with team members within and outside of research to advance the capabilities of the MAF system and to further the team’s collective knowledge.
• Clearly communicate research discoveries and developed solutions to a variety of audiences through presentation.

Preferred Skills:

• Has excellent interpersonal skills and can communicate effectively.
• Is able to chart a solid research path given available requirements.
• Is innovative and self-motivated, and can find unique solutions to problems.
• Demonstrates excellent teamwork skills when interacting with research and engineering collaborators.
• Is able to plan, organize, and time-manage independently.
• Is able to manage priorities and assess the implications of decisions

• Master’s degree in computer science, computer engineering, electrical engineering, mathematics, or a related technical discipline, plus at least 2-3 years industry experience in a machine learning role.
• A PhD degree or equivalent industry experience is preferred.
• Practical and educational experience in machine learning and computer vision is expected. Experience with nearest neighbor search, vector databases, image matching, and image retrieval is strongly desired.
• Strong programming and software skills, with Python experience preferred.
• Experience in signal processing, video encoding and analysis, and/or deep learning is also beneficial.
• Familiarity and experience with image processing and deep learning frameworks and tools, such as OpenCV, Keras, TensorFlow, PyTorch, or Caffe, is beneficial.

This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.