Senior Data Scientist

The Role:

• Design, develop, and deploy machine learning and statistical models that forecast customer cash flows, credit risk, and other measures of business health.
• Use experimentation and statistical methods to test product, pricing, and underwriting changes and improve customer experience.
• Explore and analyze large datasets to identify relevant signals, engineer features, and uncover insights that inform model and product design.

Qualifications:

• 3 years of experience building and optimizing deep learning models for forecasting, classification, and ranking.
• Expertise in statistical and causal inference methods, including Bayesian inference and A/B testing.
• Proficiency with machine learning frameworks like PyTorch, TensorFlow, and cloud platforms such as AWS or GCP.

Compensation and Benefits:

• Salary range of $270,000 to $290,000 per year.
• Flexible vacation and work hours, excellent health, dental, and vision insurance.
• Generous parental leave and the best equipment to do your job.