VP of Data Science

Job Title :- VP of Data Science Location:- Remote Duration :- Fulltime Permanent Pay Rate :- $170K-210K/year plus benefits What are the 3-4 non-negotiable requirements of this position? • 8 years data science experience Must have Healthcare analytics experience • Must have Azure DevOps experience • Must have experience managing data science program/initiative • Must be board presentable Key Responsibilities In this role, the Data Science leader will be responsible for: • Acting as the company-wide data science lead, program managing multiple critical data and AI initiatives and directing the future of data science within the organization • Coordinating multiple parties to launch data and AI initiatives, beginning in Q1 2024. Key stakeholders include the internal technology organization, business operators and P&L owners, and third-party development partners • Monitoring, managing, and optimizing program performance and impact - assessing changes in patient interactions, staff performance, and healthcare provider client account performance, and designing and recommending program changes as required • Clearly communicating program performance and impact to business, finance, and board audiences This role is currently an individual contributor position with an expectation of team growth in 2024. We expected that job duties will be split between: • Program and stakeholder (internal and external) management • Requirements gathering and translation into program design and enhancement • Hands-on-keyboard programming, modelling, and data analysis Qualifications • 8+ years' experience in a hands-on data science role • Clear familiarity and comfort with fundamental data science principles (model creation, training, evaluation, ML ops, and internal communication) • Demonstration of previous close coordination with DBA and dev ops staff is ideal • Programming experience with some variety of data science, data management, and data visualization tools; for example, R, Python, SQL, SAS, PowerBI • Familiarity with data warehouses, data architecture, and data operations principles • Demonstrated experience in managing a data science initiative/program/function within an organization, including accountability to a program outcome, managing internal and external stakeholders (up to C-suite/executive level), and vendor management • Experience with Azure DevOps or similar application lifecycle management tools is an asset • Healthcare analytics experience is required; revenue cycle management, digital patient engagement/omnichannel engagement are each an asset • People leadership experience is an asset, but not immediately required. An otherwise aligned candidate with limited/no leadership experience will not be eliminated from consideration on this basis Apply tot his job