Virtua Health is looking for a Data Science Manager to lead teams in solving business problems using data and insights, guiding the development of hypotheses and employing various analytical approaches to test them. The goal is to tell data-driven stories, convince and influence leaders with clear insights and recommendations, and assist in implementing an IT strategic plan to achieve departmental goals.
Requirements
- Python, SAS, R, Azure data science.
- A minimum of 4 years of work experience (2+ years with a Ph.D.) in advanced analytics.
Responsibilities
- Lead a team of data scientists to develop cloud architecture for data science.
- Building data science pipeline, MLOPS, and engaging end-users throughout the journey of building solutions.
- Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches.
- Contribute towards advancing the Data Science discipline at Virtua, including but not limited to driving data best practices (e.g. analysis, goaling, experimentation), improving analytical processes, scaling knowledge and tools, and mentoring other data scientists.
- Accelerate research projects at Virtua.
- Working with Physicians, researchers, and medical students to formulate new hypotheses, conduct data analysis, and publish academic research papers.
- Execute an automation strategy for Virtua.
Other
- Master’s or Ph.D. in Mathematics, Statistics, Computer Science, Engineering, Data Science, Mathematics, Engineering, and Analytics.
- People leadership, project management, analytical and technical skills, and creativity to solve business problems.
- Convince and influence leaders using clear insights and recommendations.
- Supports projects by collaborating with IS Management, Project Managers & Leads for resource planning, matching staff skills set with project requirements; manages staff task conflict and difficult personnel issues; reviews project status, staff project task completion and provide input to update; address project staff/team issues as appropriate; enforce policies/procedures for staff's adherence to the use of team templates and project documentation; supports transition to support.
- Adheres to IS Business Practices and is available for 24/7 support as needed.