Data Scientists

We are united in our mission to make a positive impact on healthcare. Join Us!

• South Florida Business Journal, Best Places to Work 2024
• Inc. 5000 Fastest-Growing Private Companies in America 2024
• 2024 Black Book Awards, ranked #1 EHR in 11 Specialties
• 2024 Spring Digital Health Awards, “Web-based Digital Health” category for EMA Health Records (Gold)
• 2024 Stevie American Business Award (Silver), New Product and Service:
  Health Technology Solution (Klara)

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.

Mod Med is based in Boca Raton, FL, with office locations in Santiago, Chile, Berlin, Germany, Hyderabad, India, and a robust remote workforce across the US.

As we continue to scale and drive innovation, we are seeking dynamic and experienced Data Scientists at various levels to join our team.

• 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.

• PhD in Computer Science, Data Science, Electrical Engineering, Mathematics, Physics, or a related quantitative field.
• Proven track record of research excellence demonstrated by publications in top ML/AI conferences (e.g., NeurIPS, ICML, ICLR, ACL, CVPR, AAAI, KDD) or journals.
• Hands-on experience in data science or machine learning 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.

Mod Med Benefits Highlight: At Mod Med, we believe it’s important to offer a competitive benefits package designed to meet the diverse needs of our growing workforce. Eligible Modernizers can enroll in a wide range of benefits:

India

• Meals & Snacks:
  Enjoy complimentary office lunches & dinners on select days and healthy snacks delivered to your desk,
• Insurance Coverage:
  Comprehensive health, accidental, and life insurance plans, including coverage for family members, all at no cost to employees,
• Allowances:
  
  Annual wellness allowance to support your well-being and productivity,
• Earned, casual, and sick leaves to maintain a healthy work-life balance,
• Bereavement leave for difficult times and extended medical leave options,
• Paid…