Grid is seeking an Applied Scientist to help build and scale their core product lines. The role involves working closely with product, engineering, and business leaders to make a difference with data, and includes projects such as fraud detection, predictive analytics, and risk underwriting.
Requirements
- Proven experience in Machine Learning and/or Applied Science
- Strong background in statistical inference, machine learning
- Bachelor's or Master's degree in Statistics, Mathematics, Physics, or Computer Science with a focus on machine learning
- Deep expertise in applied machine learning, statistical inference, and predictive modeling
- Experience with deep learning techniques, particularly transformer-based models
- Strong track record of reading, understanding, and implementing research papers in machine learning or related fields
- Robust technical skills in Python, SQL, and libraries like PyTorch/TensorFlow
- Ability to work independently and take ownership of projects
- Proactive approach to identifying key leverage points for data products
- Curiosity and optimism to drive innovation and change
- Proficiency in modern machine learning techniques, such as Model Evaluation and Validation, Deep Learning, and Time Series Analysis
- Self-starter with confidence to prioritize work and delivery demonstrable results on a tight cadence
- Demonstrated experience or understanding of the financial industry, especially in the context of building and scaling FinTech products
Benefits
- Medical
- Dental
- Vision
- 401K
- Life Insurance