Data Scientist (Computer Vision)
WaveAccess
Санкт-Петербург, Россия
We are looking for a Data Scientist with solid fundamentals in data work, statistics, and hands-on experience delivering computer vision solutions.
Responsibilities
- Develop, train, and deploy computer vision models
- Work with image datasets: preprocessing, validation, and quality control of labels/annotations
- Improve model accuracy and robustness through error analysis and iterative experimentation
- Optimize models for inference (performance, latency, resource usage)
- Integrate and automate CV models within an end-to-end solution
- Collaborate with cross-functional teams (engineering, product, domain experts)
- Maintain research documentation and reports
- Monitor model performance and implement improvements based on metrics and feedback
Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
- 3+ years of experience in Data Science / ML (Middle-/Middle level)
- Strong Python skills for data processing and model development
- Experience with deep learning for computer vision
- Experience with YOLO for object detection and segmentation
- Practical experience interpreting model outputs, performing error analysis, and formulating new hypotheses
- Experience presenting results (demos, internal talks, reports)
- Experience with localization and mapping tasks, including ORB-SLAM, particle filters, and Kalman filter
- Basic knowledge of CMake, as well as an understanding of how applications are built and debugged
Technologies
Python / NumPy, Pandas / PyTorch / ONNX / ONNX Runtime / PyTorch Lightning / OpenCV / Albumentations / Matplotlib / Seaborn / CVAT / Hydra / YOLO / Conversational English (B2)
Nice to have
- Linux + bash, ssh
- Experience working with point clouds (e.g., preprocessing, registration, segmentation, 3D perceptions
- Video processing experience
- Understanding of linear algebra
- Knowledge of general ML approaches
- Experience with scikit-learn / imblearn / scipy, etc.
- Knowledge of mathematical statistics
- Experience with experiment tracking systems
- Experience working with large-scale image datasets (100+ GB)
- Experience with Open3D and good spatial reasoning skills.
- Basic C++ understanding
Plus
- REST API development experience
- Understanding of CI/CD
- C++/other languages
- Docker, pre-commit
We offer
- Work in a dynamic international team
- Official employment with fully paid sick leave and vacation
- Option to collaborate via contractor / self-employment arrangements
- Participation in international and local projects
- Voluntary medical insurance including dental coverage
- Necessary equipment for work
- Corporate training programs
- Wide opportunities for self-development and career growth
- Flexible processes and a flexible start of the working day
