Principal Data Scientist
SWORD Health
Data Science
Portugal
Posted on Jan 20, 2025
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.
With 67% of members achieving a pain-free life and a 70% reduction in surgery intent, at Sword, we are using technology to save millions for our 25,000 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 2024, 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 $3 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 900+ (and growing!) talented colleagues, spanning three continents. Your charge? To help us build a pain-free world, powered by technology, enhanced by people — accessible to all.
We are looking for a Principal Data Scientist who will report directly to the Growth Department leadership and will be responsible for supporting Sword Health's rapid growth by shaping the data strategy and ensuring that growth initiatives are powered by deep insights, predictive models, and rigorous data analysis.
What you'll be doing:
- Help establish a culture of evidence-based decision-making by providing actionable insights based on data analysis;
- Design and implement advanced predictive models (e.g., churn prediction, lifetime value estimation, user segmentation) to forecast key metrics and identify levers for growth;
- Leverage advanced programming and processing of large datasets;
- Collaborate on designing A/B tests and other experimentation frameworks to validate hypotheses and measure the impact of growth initiatives;
- Work with product, marketing, engineering, and finance teams to help align on growth strategies to improve member acquisition, retention and engagement;
- Built scalable solutions to automated systems for tracking and analyzing data;
- Help build our reporting infrastructure and dashboards.
What you need to have:
- Bachelor’s degree in Computer Science, Data Science, or a related field, or equivalent practical experience;
- 5+ years of experience in Data Science roles;
- Proficiency in programming languages like Python or R;
- Strong SQL skills for querying and working with databases;
- Experience with data manipulation libraries;
- Experience working with marketing data, understanding how to integrate data from multiple channels (email, web, paid ads, social media, etc.), and using this data to optimize marketing campaigns;
- Proven experience in designing, analyzing, and interpreting A/B tests and other experiments (e.g., multi-arm bandits, incrementality testing);
- Experience in solving complex business problems with data, being able to use complex tools and techniques;
- Strong analytical and problem-solving skills, with the ability to synthesize complex data into actionable insights;
- Previous Experience using descriptive and inferential statistics in the context of a product;
- Strong organizational skills, with the ability to structure and manage data for efficient decision-making;
- Highly proficient in spoken and written English.
What we would love to see:
- Entrepreneurial spirit with a strong drive to support growth and operational efficiency;
- Proficiency in presenting findings to leadership and stakeholders, both in terms of technical analysis and strategic recommendations;
- Familiarity with marketing automation platforms (e.g., Iterable, Marketo), CRM systems, and customer data platforms (e.g., Segment);
- Comfort with ambiguity and working in fast-paced, iterative environments;
- Experience in working with cloud platforms (e.g. BigQuery);
- Exceptional interpersonal skills and the ability to work collaboratively across departments to achieve strategic goals.
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 stimulating environment with room for creativity;
- 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.
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 our Learning Platform
Note: Please note that this position does not offer relocation assistance. Candidates must possess a valid EU visa and be based in Portugal.
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.