Vori Health is on a mission to empower humanity to lead their healthiest life. We believe that great health holds the keys to unlocking personal potential. Our goal is to deliver high-value virtual and in-person care that enables a path to better health. Our human-centered approach, starting with musculoskeletal care, combines innovations in technology and timely communication with integrated care teams designed to cultivate a community of support which ultimately provides the most effective setting for both restorative and preventative healthcare.
You are highly analytical with a knack for analysis, math and statistics
You’ve got critical thinking and problem-solving skills which are essential for interpreting data
You have a passion for machine-learning and research!
About the Role
We are looking for a Data Scientist to join our team and analyze large amounts of raw information to find patterns that will help improve our organization. We will rely on your talent and expertise to build data products to extract valuable business insights.
Build pragmatic, scalable and rigorous ML and AI solutions that enables data driven improvements for healthcare businesses projects such as AI/Virtual coaching, Clinical Decision Support, customer intent models, etc.
Use deep learning, machine learning and analytical techniques to create scalable solutions to address healthcare needs
Deliver effective business solutions from ideation to QA and deployment
Work collaboratively with colleagues to define problem statements, collect data and define solution approaches
Build and maintain ML models, experiments, and forecasting analytics.
Leverage Python, Hadoop, Spark and similar Big Data frameworks to deliver efficient analytics
Communicate clearly the methods, impact and processes you have taken with clients and other stakeholders
Masters or Ph.D. degree in a STEM field (e.g. Computer Science, Engineering, Physics, Mathematics, Statistics, Economics, or related field);
3 to 5 years of industry experience solving analytical problems using ML approaches;
Experience performing data extraction, data cleaning, exploratory data analysis and sharing results over medium to large datasets;
Strong Python or R, and SQL skills;
Experience with one or more of Scikits-learn, Tensorflow, Keras, Theano or Pytorch;
Excellent analytical skills to self-assess robustness and performance of machine learning models;
Experience in Agile delivery methodologies
Good communication skills to explain insights and methods;
Experience with Big Data systems and frameworks (Hadoop, AWS, GCP, Spark, etc) is a plus
Enjoy learning new data science methods and technologies
Strong attention to detail
Strong understanding of a relevant healthcare area - bioinformatics, hospital data systems, population health or other related area
Track record scoping, designing and delivering ML healthcare projects through to production
Strong working connaissance of deep learning, machine learning and statistics
Hands-on experience building models with deep learning frameworks such as MXNet, TensorFlow, Caffe, or similar
Experience of building effective solution architectures
Experience hiring or mentoring more junior colleagues
Strong communication and data presentation skills
The motivation to achieve results in a fast-paced environment
Comfortable working in a fast paced, highly collaborative, dynamic work environment
Fluency in at least one other language
Take part in the creation of a better way to solve a critical healthcare need and join a dynamic, cutting-edge team
Flexible schedule & paid vacation
A great office and working remote options from your home or cabin or beach!
Social events for the simple pleasure of getting to know each other better.
Training and conference attendance support
Medical, dental, & vision benefits
Group RRSP matching % after 6 months