Data Engineer & Analyst

About the company

The goal of Denti.AI is to provide the best AI technology to dentistry, with a focus on revolutionizing radiological diagnostics, finding more pathologies earlier, and enabling more complete and accurate dental records. Our deep learning algorithms are up-to-date with today's standards of care, while also being reliable enough for tomorrow’s needs.

Our software is designed to help dentists and dental teams work more efficiently and accurately while providing patients with the best possible care. We are constantly working to improve our software so that it can be used by even more dentists and dental team members around the world.

Denti.AI is backed by leading international investors in dental technology and led by a highly skilled and experienced team with advanced degrees in machine learning, oral and maxillofacial surgery, and computer science. With backgrounds serving on dental school and hospital faculties, managing fast-growing companies, closing multi-million dollar deals, leading large engineering teams in software development and R&D, and publishing the most cited research by a North American organization, this leadership team is well positioned to bring disruptive technology into the dental market.

Denti.AI is committed to providing innovative solutions that improve patient care and increase productivity for dental practices. The team’s deep understanding of the dental industry, coupled with their technical expertise, makes them uniquely qualified to develop products that will positively impact the profession.

What you will do

• Together with the product team, support crucial product decisions with data and ad-hoc analysis.
• Working closely with our lead developers, build data infrastructure and automate data pipelines using state-of-the-art technologies.
• Build dashboards for customers and internal stakeholders.

Required skills

• Python + data science stack (Pandas, Matplotlib, Seaborn).
• SQL.
• Basic statistics and analytics.
• Experience with GCP or AWS.
• Raw data processing experience.
• Experience in designing or working with scalable data pipelines, from ingestion of raw data, its cleaning and transformation, to visualization.
• Experience with data visualization and analytics tools such as Google Data Studio, AWS Quicksight, Tableau, Power BI, etc.
• Collaboration and teamwork.