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Senior Data Scientist for Pain Prevention
Há 1 mês
Sword Health is a pioneering platform that aims to eradicate pain worldwide. As the world's first and only end-to-end platform, we utilize cutting-edge technology to predict, prevent, and treat pain. Our innovative approach has led to a 62% reduction in pain and a 60% decrease in surgery intent. We have gained recognition as a Forbes Best Startup Employer in 2023, highlighting our focus on being a destination for top talent.
We are seeking an experienced Senior Data Scientist to join our AI Team. The main goal of this team is to leverage AI and ML to provide high-quality clinical care at unprecedented levels of personalization and scale. In collaboration with the clinical team, you will develop ML-powered features that identify the best course of action for each patient at any given moment or circumstance. You will also work on ensuring the overall experience is as close as possible to a 1:1 session with a Physical Therapist.
Key Responsibilities:- Contribute to designing, building, evaluating, shipping, and improving Sword's products through hands-on AI/ML development;
- Develop and maintain data processing pipelines for getting the data required to build and evaluate models;
- Work alongside the Product, Data & Engineering Teams to define and implement AI/ML-powered features for internal and external users;
You will be working in a fast-paced environment with lots of room for creativity. Your charge is to help us build a pain-free world, powered by technology, enhanced by people — accessible to all. This is an opportunity to make a significant difference on a massive scale as you work alongside talented colleagues spanning two continents.
We offer a competitive salary range of $120,000 - $160,000 per year, depending on experience. Additionally, you will receive comprehensive health, dental and vision insurance, equity shares, discretionary PTO plan, parental leave, and flexible working hours.
The interview process consists of a 30-minute call with the recruiter, a 30-minute call with an initial screener, a take-home assignment, a general skills and working principles interview, and a mindset and cultural fit interview. Please note that this position does not offer relocation assistance, and candidates must possess a valid EU visa and be based in Portugal.
