col-wideJob Description:
Who we are:Each year, 2 billion people across the world are limited by physical pain. By helping people live without pain, they are free to do the things they love most with the people they love—and never miss a moment. This is what we do. We create and design new technologies to solve one of the biggest problems in healthcare: taking care of our Physical Health. Sword Health is the world's fastest growing digital musculoskeletal (MSK) care provider on a bold mission to free two billion people from acute, chronic, and post-surgical physical pain . Our customers include some of the most progressive Fortune 100 and 500 companies, as well as over 160+ other established businesses across the world. The Sword program allows members to complete a personalized physical therapy program from the comfort of home, with continued support and supervision from one of our talented SWORD specialists. Sword's personalized care is more effective than traditional standards of care, and has proven to deliver best-in-class clinical results. Since breaking into the market less than two years ago, Sword has worked with insurers, health systems, and employers in the , Canada, Europe, and Australia to make high quality musculoskeletal care accessible to everyone. This is an opportunity to join Sword during a time of hyper growth and expansion. After our recent $2bn valuation, we're excited to continue accelerating our impact by scaling with high caliber people with passion, commitment and energy to create and deliver technologies, services and products that drive human progress forward. We welcome you to join our mission, to make a difference on a grand scale and play a pivotal role with a global team at Sword– working alongside great people pioneering novel products and cutting edge technologies.The AI teamSword's AI team has two main verticals:- Machine Learning Engineering (MLE) sits at the intersection of productized Machine Learning and software development, enabling Sword's mission of treating billions of people with high clinical effectiveness. , a decision support system for clinical prescription management and, a ranking system to direct attention to members requiring assistance.- Data Science (DS) sits at the intersection of statistics and machine learning, advising different teams across Sword on complex, nuanced product/business questions, towards data-driven and patient-centered decision-making. which engagement touchpoints drive better clinical outcomes?
What you'll be doing:
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;
Share your knowledge and experience of how to build ML systems.
What you need to have:
Less than 2 years of professional experience;
Experience in SQL and Python;
Knowledge of Python data stack (numpy, pandas, matplotlib, scikit-learn, etc);
Ability to learn quickly and dive deep into new problems and fields;
Ability to communicate concepts clearly and interface with both technical and non-technical stakeholders;
Critical thinking & self-direction: aware of the team's direction and goals, you prioritize and solve issues accordingly.
Bonus points if you have:
Experience working in a fast-paced environment and wearing different hats;
Experience building data processing pipelines.
The interview process:
30-minute call with the recruiter;
30-minute call with an initial screener;
1 take-home assignment (to be delivered within 1 week);
1h general skills and working principles interview;
1h mindset and cultural fit interview.
