Komodo Health is hiring a
Data Scientist

Summary

Join a team of ambitious, supportive Dragons with diverse backgrounds but a shared passion to deliver on our mission to reduce the burden of disease — and enjoy the journey along the way. The Analytics Services team at Komodo Health specializes in providing advanced analytics solutions to healthcare organizations, leveraging real-world data to drive insights and decision-making.

Requirements

• Analytical mindset and the ability to solve complex problems with limited supervision
• At least three years of industry experience working with Python and large-scale databases using SQL (data query, data cleaning, data transformation)
• Familiarity with PySpark and R
• Experience working with a large healthcare database (preferably administrative claims or EHR)
• Comfort communicating complex data science topics to audiences of variable technical capability
• Proficient with complex topics in ML modeling, advanced statistics/biostatistics, algorithm design and knowledge of ML software packages
• Ability to work well both independently and collaboratively in a fast-paced and demanding agile environment
• Interest in growing skills as a Data Scientist and being willing to learn and teach as part of a team
• Strong business acumen demonstrated by a good understanding of how analytics insights (preferably in healthcare analytics) tie into business goals
• High motivation, work ethic, and self-discipline to organize and complete tasks

Responsibilities

• Delivered high-value data analytics projects
• Implemented client solutions using techniques like advanced statistical analysis or ML for targeted therapeutic areas in our patient population
• Developed a deep understanding of healthcare claims data
• Effectively partnered with customer-facing teams to translate client requirements into analytics to solve client needs with the capabilities of datasets available at Komodo
• Created a plan with the team to scale our solutions, automate code, and centralize complex logic. Advocated for good engineering practices within the team like documentation and code reusability
• Presented findings, insights and analytical results to internal and external partners for client deliveries, as well as the larger DS function for continued growth and learning

Benefits

• Medical coverage
• Dental coverage
• Vision coverage
• 401k Retirement Plan
• Prepaid legal assistance
• Paid time off for vacation, sickness, holiday, and bereavement
• 100% company-paid life insurance
• Long-term disability insurance