At apree health, our mission is to solve the affordability crisis and empower people to make the best choices for their health and care. We offer a health benefits platform that engages employees to make better healthcare decisions and can guide them to the right program, care, and provider. Our platform also enables benefit leaders to communicate and measure their programs while driving employee engagement with targeted, relevant communications.
To date, apree has partnered with more than 240 large enterprise customers, spanning millions of lives, to improve healthcare outcomes, lower costs, and increase benefits satisfaction.
We are recruiting a Healthcare Analytics Manager to oversee our population health analytics team and efforts. We seek to make significant enhancements to our data and analytics platform on opportunity analyses, by machine learning algorithms and predictive analytics. You’ll work shoulder to shoulder with product managers, data engineers and other data scientists to identify new opportunities, coordinate model design, development and implementation as well as evaluate model outcomes to ensure the delivery of high-quality analyses and production quality ML features.
What You Will Do:
Areas of responsibility will include overseeing and coordinating team members efforts across the Analytics Data Science lifecycle, including:
- Design, execute, and test data modeling processes
- Developing and implementing algorithms and predictive models, including claims-based medical spend analyses
- Collect, process, cleanse, organize and analyze data to produce ideas, working alongside data scientists and other engineering and analytics team members
- Work collaboratively in a team environment conducting code reviews and design reviews
- Keep up to date on the latest ML technology and data science practices and how they can advance the organization and team’s mission
- Be a strategic thought partner with product managers, data engineers and other data scientists in developing data and machine-learning driven products
- Communicate your teams work clearly and responsively to internal and external stakeholders
Who You Are:
- 6+ years of experience in a Data Science/Analytics role within a digital health or healthcare organization, including 2+ years leading a Data Science team, 5+ years managing teams
- Proficiency in statistical methods, including parametric and non-parametric statistical testing and multivariate analysis
- Proficiency in machine learning algorithms, including supervised and unsupervised learning
- Proficiency in data structures and data models, and how to leverage them to increase analytics efficiency and performance
- Knowledge of claims categorization or claims groupers preferred
- Master’s or doctoral degree in Computer Science, Mathematics, Statistics or Data Science strongly preferred
- Familiarity with Data Science best practices, continuous integration, and test-driven development
- Excellent communication skills; ability to relate how proposed data science techniques can drive business growth and improved user experience
- Proficiency in Python required
- Proficient in SQL in terms of writing complex analytical queries and experience working with very large data sets
- Comfortable working in a highly collaborative, consensus-oriented environment