Data Scientist

Role Overview

The Data Scientist will design and maintain scalable machine learning pipelines across on-premises and cloud environments, integrate new data sources, and fine-tune foundation models for research applications. They will also mentor colleagues and help translate emerging methods into practical tools for our team.

What You Will Do

Design, develop, and implement end-to-end machine learning production pipelines, develop and maintain scalable data pipelines, fine-tune foundation models, mentor team members, and apply emerging research to practical use cases.

Why It Might Be a Fit

This is an opportunity to apply cutting-edge data science directly to one of the most challenging problems in neurology, working alongside a collaborative team dedicated to understanding and ultimately defeating ALS.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Mathematics, Engineering, or related field
• Minimum of 2 years of directly related experience in Data Science, Machine Learning, or related fields
• Strong expertise in Python, SQL, and modern ML frameworks (TensorFlow, PyTorch, Scikit-Learn)
• Experience with MLOps tools (MLflow, Kubeflow, Airflow) for model deployment and monitoring
• Proven experience in designing and implementing machine learning solutions at scale on AWS or similar cloud platforms

Benefits

• Full medical, dental, vision coverage
• Paid time off
• 11 Paid Holidays
• Tuition remission – eligible employees and their dependents can obtain a degree TUITION FREE
• A generous retirement plan