Data Scientist - Machine Vision & Bayesian Analysis

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.

About the role

Eli is looking for a 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.

About you

• You hold a University degree in Data Science, (Bio)Statistics, Mathematics, Computer Science, or a related field.

• You are focused on adherence to coding standards and practices aligned with industry best practices, as outlined in, for example, Code Complete by Steve McConnell.

• You are proficient in the Python programming language using an IDE. Notebooks may be employed for prototyping purposes.

• You have experience in machine learning and machine vision, with examples of projects involving image processing, computer vision, or related techniques.

• You have experience with common frameworks and libraries used in machine learning (e.g., NumPy, Matplotlib, scikit-learn, SciPy, OpenCV, etc.).

• You have knowledge of Bayesian analysis and probabilistic programming (e.g., PyMC).

• You have proficiency in version control software and platforms (Git and GitHub).

• You have knowledge of statistical modeling, error analysis, and hypothesis testing.

• You have proficiency in object-oriented programming and design patterns.

• You have a good understanding of common data structures and algorithms.

• You have familiarity with model deployment and monitoring technologies and with cloud platforms (e.g., AWS, Google Cloud) and big data technologies.

If you don’t exactly match the description but still believe you are the right person to join the team, please reach out. We value mindset and character.

Why you’ll love working at Eli

• You’ll work with a group of talented and mission-driven people eager to improve women’s health at scale.

• You’ll be part of the core team developing and commercializing the first product that collects hormonal data daily and over a lifetime.

• You’ll join at the early-stage startup phase and have a wide-reaching impact in a constantly evolving and fast-paced environment.

• You’ll be part of a small (<20 people), high-performing, and diverse team where everything you do results in tangible impact and shapes the company’s trajectory.

• You’ll be in an environment where people drive their own work, think creatively about open-ended problems, and solve them proactively.

• Although our office and R&D facilities are in Montreal, we have a distributed team. We prioritize asynchronous workflows and minimize meetings to focus on the work itself.

• You and your +1 will have unlimited free access to the Bota Bota spa in Montreal to recharge.

How to apply

Sounds like you? Please apply here with a link to your LinkedIn profile, your resume, and a short note about what you think we should know and why you are excited to join Eli.

Diversity is ingrained in our company DNA. Currently, 80% of Eli's team identify as women and 60% as part of another minority group. We are committed to building a truly inclusive environment as an equal opportunity employer.