Head of Data – Predict

🕒 Fevereiro 12

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Sword Health

SiteLinkedInTodas as Vagas

201 - 500 funcionários

Fundada em 2015

⚕️ Seguro de Saúde

🤖 Inteligência Artificial

🧘 Bem-estar

Healthcare Insurance • Artificial Intelligence • Wellness

A Sword Health é uma empresa de saúde digital que combina inteligência artificial (IA) com expertise clínica para oferecer cuidados de padrão mundial para condições de saúde musculares, articulares e pélvicas. Ao oferecer fisioterapia digital e cuidados orientados por IA, a Sword ajuda as pessoas a se recuperarem de problemas físicos no conforto de casa, evitando cirurgias e reduzindo a necessidade de medicamentos. A empresa oferece a empregadores, planos de saúde e indivíduos planos de tratamento personalizados, com ótima relação custo-benefício e resultados comprovados em redução da dor e melhoria da produtividade. A Sword Health é dedicada a ampliar o acesso a cuidados de alta qualidade e a promover equidade em saúde em comunidades ao redor do mundo.

Descrição

• Design, build, and refine machine learning models that identify members at high risk for costly MSK interventions using claims, EMR, and enriched external data. • Own the technical architecture for Predict's data pipelines, ensuring reliable ingestion, transformation, and delivery of healthcare data at scale. • Establish and maintain ML ops practices—model versioning, monitoring, retraining pipelines, and performance tracking. • Conduct rigorous analysis of algorithm performance, cost curve impact, and ROI delivered to clients. • Stay current on healthcare data standards, regulatory requirements, and industry best practices. • Work closely and collaboratively with Sword’s Data team to ensure Predict’s work is embedded within the Tech team’s overall infrastructure and best practices. • Manage, mentor, and grow a team of data scientists and data engineers. • Set clear goals, provide regular feedback, and create development opportunities for each team member. • Foster a culture of intellectual rigor, collaboration, and continuous improvement. • Hire additional team members as Predict scales. • Serve as Predict's technical subject matter expert in client meetings, sales cycles, and implementation discussions. • Translate complex data science concepts into clear, compelling narratives for non-technical audiences. • Partner with customer success and sales teams to demonstrate Predict's value proposition and build client confidence. • Support business reviews, QBRs, and strategic discussions with data-driven insights alongside our Health Economics & Customer Insights team. • Work closely with product and engineering teams to align Predict's technical roadmap with platform strategy. • Collaborate with health economics to validate clinical and financial outcomes. • Partner with data access and integration teams to expand the data assets available for Predict models.

🎯 Requisitos

• 5-7 years of experience in data science, machine learning engineering, or a related technical field. • 2+ years of experience managing technical teams, with a track record of developing talent and delivering results through others. • Expertise in healthcare data, particularly medical and pharmacy claims data; experience with EMR data is highly valued. • Strong foundation in machine learning techniques (e.g., gradient boosting, random forests, logistic regression, survival analysis) and their application to real-world problems—deep learning or transformer experience is not required. • Proficiency in Python and the modern data science stack (pandas, scikit-learn, etc.). • Experience building and maintaining production data pipelines using tools like Airflow, dbt, Spark, or similar. • Familiarity with ML ops practices—model deployment, monitoring, versioning, and lifecycle management. • Excellent communication skills with the ability to explain technical concepts to non-technical stakeholders and represent the team in client-facing settings. • Based in the United States with eligibility to work without sponsorship.

🏖️ Benefícios

• Comprehensive health, dental and vision insurance* • Life and AD&D Insurance* • Financial advisory services* • Supplemental Insurance Benefits (Accident, Hospital and Critical Illness)* • Health Savings Account* • 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