Data Scientist

Applications are now closed.

We are seeking a highly motivated Data Scientist with strong expertise in Python, PyTorch, and deep learning to contribute to the development of this innovative platform. The ideal candidate will have hands-on experience with pose estimation, temporal modeling (e.g., LSTMs), and sports or motion analytics.

Your Responsibilities:

• Develop and optimize ML and deep learning models for human activity recognition, segmentation, and scoring.
• Implement and refine pose estimation pipelines for multi-camera setups.
• Apply LSTM or other temporal models to model and predict motion sequences.
• Collaborate with biomechanics experts to integrate heuristic rules for performance scoring.
• Analyze large volumes of visual and positional data from sports activities to improve model accuracy and reliability.
• Contribute to the deployment of real-time analytics pipelines.

Your Skills and Experience:

• Bachelor’s or Master’s in Computer Science, Data Science, Machine Learning, or a related field.
• Strong programming skills in Python and experience with PyTorch.
• Deep understanding of machine learning, computer vision, and time-series modeling.
• Experience with pose estimation tools/frameworks (e.g., OpenPose, MediaPipe, AlphaPose, Detectron2).
• Knowledge of LSTM, GRU, or transformer-based models for temporal pattern recognition.

Preferred / Bonus Qualifications:

• Background in sports science, biomechanics, or motion analysis.
• Experience working with video annotation tools and datasets.
• Understanding of sports-specific movement patterns (e.g., jump shots, skating strides).
• Deployment experience with real-time inference pipelines (e.g., ONNX, TensorRT, or edge devices).

We Offer

• Opportunities for professional self-realization.
• Competitive salary.
• Friendly and supportive team.
• Professional trainings and certifications paid by the company.
• 25 days of paid vacation.
• 100%-paid sick leave.
• Language courses with native speakers.
• Sport program.
• Medical insurance.
• Opportunity of remote work.

Apply for this position