DOCPACE is an AI-driven digital platform revolutionizing Patient Management with data science. Our patent-pending technologies efficiently align healthcare provider’s time with healthcare consumer’s needs thus reducing wait times, eliminating wait room crowding, and allowing caregivers to see more patients. With advanced data science and real-time monitoring, DOCPACE solves Healthcare’s uniquely challenging management & coordination inefficiencies. With DOCPACE, practices are able to maximize patient throughput and minimize patient wait time.
It’s an exciting time to join DOCPACE, we're a young company with enormous potential. As a Data Scientist at DOCPACE, you will be on the front lines of our fast-growing and high-performing team working with senior engineers, product designers, sales and customer success support.
DOCPACE's team is growing rapidly to serve our customer interest and we’re looking for an experienced Data Scientist to join our team. Our ideal candidate has experience with large data sets, creating models and visualizations, and an ability to extract business-focused insights.
Looking to join an early-stage tech company and fully immerse yourself in the depths of data analysis and engineering? This role offers an incredible opportunity for experience as a data engineer tackling projects from product improvement to customer analytics reports all the way to data exploration and machine learning.
Your main responsibilities will be to gather, review, and analyze big data; identify data-led insights; guide critical business decisions; design and develop data applications and systems for DOCPACE.
Gather and clean data; Manage and organize data
Identify patterns and insights
Data infrastructure setup
Prepare data for modeling
Discover tasks that can be automated
Develop data set processes
Develop customer success metrics and reporting
Bachelor's Degree Required
Computer Science, Software Engineering is preferred
Advanced analytics and programming skills (statistical programming languages)
Knowledge of data processes, database architecture and design
AWS experience is preferred
Innovative, young, fast-moving startup environment
Technology driven by empathy, data and forward-thinking
Opportunity to learn from industry experts
Ability to seek mentorship from PhD's in Data Science and Machine Learning
Potential for role promotion and leadership advancement
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