Data Scientist

Data Scientist

Poland, Remote or Ukraine, Remote or Portugal, Remote

Aura is on a mission to create a safer internet. In a world where our lives are increasingly online, Aura's category-defining suite of intelligent digital safety products help millions of customers protect themselves against digital threats, and that number is growing rapidly. Aura is in an exciting phase of hyper-growth, and our team of close to 700 people worldwide is guided by a leadership slate that's successfully grown startups into multi-billion dollar organizations. 

Come join us for the ride!

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.