Senior Data Scientist

We are looking for a Data Scientist to join one of our teams and help us build great products for our clients.

Our mission:

We deliver asymmetric advantages to our #adtech customers through vast domain expertise, simplicity, and #stellar level of service. We continue to challenge ourselves and grow as technologists, professionals, and, most importantly, as human beings who work side by side, day after day and year after year. And we don’t plan to stop anytime soon.

Our values:

• We put in the work, and we love it. Some days, we may fail, but only to try harder the next day. We work through our losses and celebrate our wins as one team
• We delight our customers. We’re service-minded professionals
• We do what we say, and we say what we do
• We trust our team, and the team trusts us back
• We care, and we listen

Responsibilities:

• Design, develop, and fine-tune models for computer vision tasks such as facial analysis, object detection, image classification, and vision-language models.
• Perform in-depth debugging of model architectures (layers, data preprocessing, feature extraction, and prediction mechanisms) to improve performance metrics.
• Continuously improve models through iterative training and evaluation processes.
• Analyze and clean datasets to ensure high-quality input for model training.
• Assess dataset balance and take necessary steps to preprocess data effectively.
• Manage the preparation of large datasets, including video-to-image frame extraction, narrowing down large datasets to relevant subsets, and appropriate tagging.
• Demonstrated experience working on end-to-end computer vision projects, with a focus on datasets sourced from videos.
• At least one project with a duration of over a year to show depth of understanding

Requirements:

Qualifications and Skills:

• Master’s or PhD in Computer Science, Data Science, Artificial Intelligence, or a related field with a focus on computer vision and machine learning.
• 3+ years of hands-on experience in designing, developing, and deploying computer vision models, such as object detection, image segmentation, classification, and facial recognition.
• Proven track record of training models from scratch and solving novel, complex vision problems.
• Experience working with large-scale image and video datasets in real-world projects.
• Strong proficiency with Python, deep learning frameworks such as TensorFlow, PyTorch, and libraries such as OpenCV and Dlib for image processing and feature extraction.
• Strong understanding of mathematical foundations related to computer vision tasks, such as linear algebra, optimization, probability, and statistics.
• Experience in conducting research and developing prototypes to test innovative approaches, with a track record of exploring and experimenting with cutting-edge computer vision algorithms. Nice to have: academic publications in the field of computer vision in recognized journals and conferences.
• Ability to document research results and methodologies clearly for future reference and knowledge sharing.
• Experience working in multidisciplinary teams, collaborating with other data scientists, engineers, and researchers to develop and implement computer vision solutions.

As a plus:

• Experience with the AWS cloud platform.
• Version control for machine learning models, like MLflow or DVC (Data Version Control).