Data Scientist
Занятость | Полная занятость |
Полная занятость | |
Адрес | Беларусь, Минск, улица Леонида Беды, 2 |
Nauchsoft is an IT consulting and software development company. We have been in the IT business for 36 years and continue growing. Now we are looking for a Data Scientist. This role is prospective and has been created in line with the company’s planned team expansion.
The ideal candidate will have hands-on experience with pose estimation, temporal modeling (e.g., LSTMs), and sports or motion analytics.
Requirements:
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Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field.
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Strong proficiency in Python, with proven experience using PyTorch.
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Solid understanding of machine learning principles, computer vision techniques, and time-series modeling.
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Hands-on experience with pose estimation frameworks (e.g., OpenPose, MediaPipe, AlphaPose, Detectron2).
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Knowledge of advanced architectures such as LSTM, GRU, or transformer-based models for temporal pattern recognition.
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Familiarity with keypoint detection, multi-camera calibration, and visual tracking.
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English B1+.
Nice to have:
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Background in sports science, biomechanics, or motion analysis.
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Experience with video annotation tools and working with large-scale datasets.
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Understanding of sports-specific movement patterns (e.g., jump shots, skating strides).
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Experience deploying real-time inference pipelines (e.g., ONNX, TensorRT, or edge devices).
Responsibilities:
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Develop and optimize machine learning and deep learning models for human activity recognition, segmentation, and performance scoring.
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Design, implement, and refine pose estimation pipelines for multi-camera environments.
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Apply LSTM and other temporal models to predict and analyze motion sequences.
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Collaborate with biomechanics experts to integrate heuristic rules into performance evaluation.
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Process and analyze large-scale visual and positional data from sports activities to enhance model accuracy and robustness.
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Contribute to the deployment and maintenance of real-time analytics pipelines.
We offer:
- Opportunity for professional self-realization and growth;
- Friendly team;
- 25-days of paid vacation;
- Medical insurance and 100% payment for sick leave;
- Professional training and obtaining certificates at the company's expense;
- Foreign language courses and other corporate programs;
- A variety of corporate events;
- Bonuses in case of wedding or a child’s birth;
- The possibility of remote work from any location.
Опыт | От 3 до 6 лет |
График работы | Удаленная работа |