Data Scientist

About the Role:

We are looking for a Data Scientist to join our cross-functional product squad and play a critical role in translating cutting-edge data science into real-world product features. In this role, you’ll serve as a vital link between product teams, data scientists, data engineers, and platform engineering to ensure that AI-driven features are not only technically robust but also aligned with user needs and product goals.

You will be hands-on in both validating product hypotheses through data and driving the implementation of models into production. Your focus will span from understanding data distributions and surfacing actionable insights, to coordinating model development cycles, managing edge cases, and iterating quickly on proof-of-concepts for emerging product opportunities. This is a collaborative role with high visibility and impact across our AI and engineering ecosystem.

Day to Day:

• Collaborate with product managers and data scientists to validate product hypotheses via exploratory data analysis (e.g., examining distributions, segmentations, and edge-case behaviors);
• Coordinate with individual data scientists across multiple product areas to align modeling efforts with product timelines and evolving requirements;
• Facilitate communication and integration between data science, data engineering, and platform engineering teams to ensure smooth deployment and lifecycle management of models;
• Identify and address edge cases and model limitations, recommend updates or improvements to both model logic and surrounding product behavior;
• Build lightweight POCs and data-driven prototypes to explore and test new product ideas and features;
• Contribute to the back-end development supporting existing models and product workflows.

What you bring to the table:

• Strong programming skills in Python or equivalent, with experience working across the stack (data pipelines, model integration, APIs, etc.).
• Deep understanding of machine learning fundamentals and practical model evaluation techniques.
• Proven ability to explore, interpret, and communicate data insights clearly and effectively.
• Experience collaborating with cross-functional teams and aligning technical work to product objectives.
• Fluent English and excellent communication skills - written, spoken, and interpersonal.

It would be great if you also had:

• Experience working with the healthcare industry or healthcare / medical data;
• Hands-on experience with tools such as Databricks for collaborative development and model lifecycle management;
• Familiarity with Terraform or other infrastructure-as-code tools for managing production environments.