Remote Senior/Staff Machine Learning Data Scientist

Description:

• Bayesian Health is an early-stage startup focused on making healthcare proactive by providing real-time data to healthcare professionals to save lives.
• The role involves independent end-to-end model development and collaboration with Clinical, Engineering, and Product teams to clarify and prioritize specifications and features for AI models.
• The company aims to improve patient outcomes by empowering clinicians with insights for better decision-making at the point-of-care.
• Responsibilities include developing and tuning innovative ML models, productionizing these models with production-grade Python, and identifying strategies for improving production ML systems.
• The candidate will also be responsible for understanding model performance and metrics and presenting findings to both technical and non-technical audiences.

Requirements:

• A Ph.D. in a relevant field and at least 3 years of experience in shipping ML-based software products are required.
• Candidates must have experience owning ML models from prototyping to production, particularly real-time algorithms that update dynamically.
• Proficiency in writing production-grade Python and SQL code for implementing and evaluating ML models in production systems is necessary.
• A track record of using statistics and performance metrics to compare end-to-end ML and product performance is essential.

Benefits:

• Bayesian Health offers equal employment opportunities and prohibits discrimination and harassment of any type.
• The company provides a supportive work environment that encourages collaboration and innovation.
• Employees are part of a diverse team committed to saving lives and improving healthcare delivery through data-driven insights.