Data Scientist, Innovation - Baseball Analytics
Tasks
- Apply deep learning techniques for multimodal learning
- Conduct research into new analytical frameworks and modeling techniques
- Design and implement time series probabilistic and simulation based models
- Develop and evaluate machine learning models for player evaluation
- Partner with stakeholders to identify high impact analytical opportunities
- Prototype and experiment with novel predictive modeling approaches
- Stay current with AI and Machine Learning advancements
- Translate tracking video and sensor data into structured insights
Perks/Benefits
- 401k plan
- Casual work attire
- Complimentary meal and beverage plan
- EV charging station access
- Flexible work arrangement
- Game ticket allotment
- On-site parking
- Paid time off
- Transit benefits
- Tuition reimbursement
Skills/Tech-stack
Deep learning | Generative Modeling | Machine Learning | Multimodal Learning | Probabilistic Modeling | PyTorch | Python | SQL | Simulation | Statistics | TensorFlow | Time Series | Version control
Education
N/A
Roles
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