Bayesian Data Scientist – Advanced AI & Modeling - Remote

Overview

all.health is at the forefront of revolutionizing healthcare for millions of patients worldwide, combining over 20 years of proprietary wearable technology with clinically relevant signals to connect patients and physicians with continuous, data-driven dialogue.

In Short

• We’re seeking a Bayesian Data Scientist with expertise in probabilistic modeling and AI advancements.
• The role involves solving complex modeling challenges and optimizing predictions.
• Develop interpretable, high-impact models using state-of-the-art Bayesian statistics and machine learning techniques.
• Responsibilities include translating predictive modeling problems into robust solutions and implementing libraries of predictive features.
• Collaborate with product, engineering, and business teams for end-to-end modeling solutions.
• Stay current with trends in generative modeling and responsible AI.
• Strong experience in Bayesian inference and probabilistic modeling is required.
• Familiarity with tools like Python, SQL, and machine learning frameworks is essential.
• Preferred qualifications include an M.Sc or PhD in a relevant field.
• Excellent communication skills to articulate complex ideas are necessary.

Requirements

• Strong experience in Bayesian inference and probabilistic modeling.
• Proficiency in Python and familiarity with probabilistic programming tools.
• Experience with classical ML and modern techniques including deep learning.
• Understanding of feature engineering and uncertainty quantification.
• Ability to translate ambiguous business problems into structured approaches.

Benefits

• Competitive salary based on skills and experience.
• Opportunity to work on impactful healthcare solutions.
• Collaborative and innovative work environment.
• Access to cutting-edge technologies and methodologies.
• Flexible working arrangements including remote options.