Sword Health is on a mission to free two billion people from pain as the world’s first and only end-to-end platform to predict, prevent and treat pain.
Delivering a 62% reduction in pain and a 60% reduction in surgery intent, at Sword, we are using technology to save millions for our 2,500+ enterprise clients across three continents. Today, we hold the majority of industry patents, win 70% of competitive evaluations, and have raised more than $300 million from top venture firms like Founders Fund, Sapphire Ventures, General Catalyst, and Khosla Ventures.
Recognized as a Forbes Best Startup Employer in 2023, this award highlights our focus on being a destination for the best and brightest talent. Not only have we experienced unprecedented growth since our market debut in 2020, but we’ve also created a remarkable mission and value-driven environment that is loved by our growing team. With a recent valuation of $2 billion, we are in a phase of hyper growth and expansion, and we’re looking for individuals with passion, commitment, and energy to help us scale our impact.
Joining Sword Health means committing to a set of core values, chief amongst them to “do it for the patients” every day, and to always “deliver more than expected” on behalf of our members and clients.
This is an opportunity for you to make a significant difference on a massive scale as you work alongside 800+ (and growing!) talented colleagues, spanning two continents. Your charge? To help us build a pain-free world, powered by technology, enhanced by people — accessible to all.
Sword Health is looking for a Data Scientist to enable AI/ML projects to power the Sword health platform from end-to-end. You will work together on multiple vertical projects such as Product, Marketing, Finance and Clinical Outcomes to design, prototype and test novel clinical and digital models. Additionally, you will dig deep in data statistical analysis that will help both business and patient care.
You will be working inside our Data Team at Sword that is helping our business to become more and more Data centric and you will have a tremendous impact on millions of lives.
What you'll be doing:
- Lead data science projects from design, exploration, prototype and test novel clinical and digital interventions to understand member musculoskeletal health needs and behavioral tendencies.
- Leverage advanced programming and processing of large datasets towards those ends.
- Work alongside with data engineers, dana analysts, data scientists and product managers to deploy designed and well-tested ML models into practice, helping design appropriate frameworks to test and monitor ongoing model performance.
- Provide methodological, statistical, design and analytical guidance for new and ongoing operations and applied research projects.
- Work and collaborate with internal stakeholders (Finance, Marketing, Clinical operations, Growth) to develop strategies and data science products to solve real world problems.
- Partner with business groups in the company to identify opportunities to deploy bespoke models and create additional models to answer key questions about member behavior.
What you need to have:
- 4+ years of experience in Data Science roles.
- Previous Experience using descriptive and inferential statistics in the context of a product.
- Previous Experience using machine learning to derive insights and find patterns in the data.
- Working knowledge of SQL as well as statistical packages (such as those in R or Python).
- Experience on leading complex and ambiguous initiatives with full autonomy.
- Excellent communication skills and able to communicate their findings with different stakeholders, including those who are non-technical from other teams.
- Experience on solving complex business problems with data, being able to use complex tools and techniques and expected to work independently and take ownership of projects.
- Expected to have project management skills, including the ability to plan, prioritize and lead multiple large-scale projects with cross-functional teams.
What we would love to see:
- Experience with irregular time-series/event data.
- Experience in working with cloud platforms.
- Genuine curiosity that drives you to experiment and try new things.
To ensure you feel good solving a big Human problem, we offer:
- A stimulating, fast-paced environment with lots of room for creativity.
- A bright future at a promising high-tech startup company.
- Career development and growth, with a competitive salary.
- The opportunity to work with a talented team and to add real value to an innovative solution with the potential to change the future of healthcare.
- A flexible environment where you can control your hours (remotely) with unlimited vacation.
- Access to our health and well-being program (digital therapist sessions).
- Remote or Hybrid work policy.
*Please note that this position does not offer relocation assistance. Candidates must possess a valid EU visa and be based in Portugal.
US - Sword Benefits & Perks:
• Comprehensive health, dental and vision insurance*
• Equity shares*
• Discretionary PTO plan*
• Parental leave*
• 401(k)
• Flexible working hours
• Remote-first company
• Paid company holidays
• Free digital therapist for you and your family
*Eligibility: Full-time employees regularly working 25+ hours per week
Portugal - Sword Benefits & Perks:
• Health, dental and vision insurance
• Meal allowance
• Equity shares
• Remote work allowance
• Flexible working hours
• Work from home
• Unlimited vacation
• Snacks and beverages
• English class
• Unlimited access to Coursera Learning Platform
*US Applicants Only: Applicants must have a legal right to work in the United States, and immigration or work visa sponsorship will not be provided.*
SWORD Health, which includes SWORD Health, Inc. and Sword Health Professionals (consisting of Sword Health Care Providers, P.A., SWORD Health Care Providers of NJ, P.C., SWORD Health Care Physical Therapy Providers of CA, P.C.*) complies with applicable Federal and State civil rights laws and does not discriminate on the basis of Age, Ancestry, Color, Citizenship, Gender, Gender expression, Gender identity, Gender information, Marital status, Medical condition, National origin, Physical or mental disability, Pregnancy, Race, Religion, Caste, Sexual orientation, and Veteran status.
