Data Scientist - Machine Vision & Bayesian Analysis

at  Eli Health

ABOUT US

Eli is the women’s health company making continuous hormone monitoring possible. We empower people to understand their body every day and improve their health outcomes across their lives. Hormones are at the core of our health, yet they remain a black box. Eli is on a mission to unlock this box by developing a product that provides real-time and lifelong insights from saliva.
We are a diverse, intentional, and fast-moving team driven by our mission. You will work with a small group of experienced engineers, scientists, and entrepreneurs who are shaping the future of at-home testing by developing and commercializing new technology. Eli is a venture-backed, early-stage startup. To learn more about us, visit our website or check out recent press articles.

Eli is looking for Data Scientist specializing in Machine Vision & Bayesian analysis. You will be leading the development of machine vision algorithms at Eli and their integration with our product. Your primary responsibilities will be to:

• Perform and document exploratory data analysis to uncover trends and patterns.
• Develop hybrid signal processing/machine learning algorithms.
• Design, test and implement Bayesian models to improve decision-making processes for various products.
• Optimize and validate models to ensure accuracy and reliability.
• Collaborate with cross-functional teams to understand business needs and translate them into data-driven solutions.
• Document and present findings to both technical and non-technical stakeholders.

This description is not exhaustive.