Applied Scientist

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