Senior Data Scientist

We Are Modernizing Medicine (WAMM)! We're a team of bright, passionate, and positive problem-solvers on a mission to place doctors and patients at the center of care through an intelligent, specialty-specific cloud platform. Our vision is a world where the software we build increases medical practice success and improves patient outcomes. Founded in 2010 by Daniel Cane and Dr. Michael Sherling, we have grown to over 3400 combined direct and contingent team members serving eleven specialties, and we are just getting started! ModMed is based in Boca Raton, FL, with office locations in Santiago, Chile, Berlin, Germany, Hyderabad, India, and a robust remote workforce with team members across the US.

As we continue to scale and drive innovation, we are seeking a dynamic and experienced Senior Data Scientist to join our team.

We are seeking a Senior Data Scientist to play a critical role in driving data and machine learning initiatives that fuel innovation and business growth. This role is ideal for a hands-on technical lead who is passionate about solving complex problems using data and building production-grade ML systems. You will work closely with cross-functional teams to design, develop, and deploy scalable data solutions and machine learning models that create measurable business impact.

Key Responsibilities:

• Design and implement advanced machine learning models and algorithms for prediction, classification, personalization, and automation use cases.
• Translate business problems into machine learning solutions, working closely with stakeholders to identify opportunities for data-driven impact.
• Build and evaluate models using techniques such as supervised/unsupervised learning, time-series forecasting, NLP, and deep learning where applicable.
• Own the end-to-end lifecycle of machine learning models, from data exploration and feature engineering to deployment, monitoring, and retraining.
• Lead cross-functional ML projects, collaborating with product managers, data engineers, analysts, and software engineers.
• Partner with data engineering teams to ensure robust data pipelines and access to high-quality, clean, and reliable data for analytics and ML.
• Contribute to the design and development of scalable ML infrastructure and tools to support training, experimentation, and production deployment.
• Analyze large datasets to generate actionable insights, uncover trends, and support strategic decisions.
• Develop visualizations, dashboards, and reports to communicate results to technical and non-technical audiences.
• Work with stakeholders across the business (product, marketing, operations) to validate findings and support data-informed decisions.

Qualifications:

• Bachelor's degree in Data Science, Generative AI, Computer Science, Mathematics, Statistics or a related technical field.
• Master's degree in Data Science, Generative AI, Computer Science, Mathematics, Statistics or a related technical field is a plus.
• 6+ years of hands-on experience in data science or machine learning, preferably in a product or platform-focused environment preferably in healthcare or similar data-rich domain.
• Strong proficiency in Python and common ML libraries.
• Experience with MLOps tools and cloud-based ML environments such as AWS.
• Experience working with healthcare data formats (HL7, FHIR) and privacy standards (HIPAA) is a plus.
• Solid understanding of statistical methods, experimental design, and data wrangling.
• Familiarity with SQL, Spark, and distributed data systems is a plus.

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