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Provides specialized depth and breadth of expertise in the design, implementation and dissemination of advanced analytics and data science projects. Works with and advises key stakeholders to provide analysis and insights to enable data-driven decision-making. Provides leadership and mentorship in the development and evolution of advanced statistical and mathematical methods, including machine learning capabilities. Works in partnership with, and provides guidance to, team members solving complex problems to ensure robust, scalable analytics solutions and implementing them efficiently and effectively across the enterprise.
Job Responsibility:
Translates complex data into insights and compelling stories
Presents data models, analyses and visuals, including dynamic visuals such as dashboards, to internal and external stakeholders
Iterates and refines based on feedback
Makes recommendations and provides actionable insight to stakeholders based on analysis
Partners with operational and clinical leaders to implement recommendations and provides consultation as needed
Provides expert consultation to high-level external stakeholders, including senior and executive leadership
Guides strategy and influences project priorities, direction and scoping
Understands underlying clinical and research requirements and formulates, designs and executes analytical solutions to support them
Reviews and approves team’s analysis and analytic products
Analyzes and models structured data and implements algorithms to support analysis using advanced statistical and mathematical methods
Designs, develops and implements robust, reproducible processes to prepare, extract and enrich a variety of structured and unstructured data sources
Provides scalable solutions and collaborates on dissemination efforts
Creates and implements data science solutions to support analytical efforts and expand dashboard capabilities
Leads team in developing, managing and executing project plans
Offers subject matter expertise on ML and related analytic approaches
Completes agile development of data models, ML pipelines, dashboards and reporting
Cultivates new data sources to offer insights and analyses needed for research and decision-making
Maintains current knowledge base and expertise relative to the technology and software used by functional areas being supported
Assigns and reviews the work of assigned personnel
Instructs personnel on established standards and provides technical knowledge and guidance to ensure optimum efficiency and project progress
Other duties as assigned
Requirements:
Bachelor's degree and 4 years of relevant experience required
Master's degree preferred
Or equivalent combination of education and experience
Considerable experience with relational databases required
Strong attention to detail, ability to develop creative solutions to complex problems, and strong critical thinking skills required
Strong analytic, qualitative and quantitative data analysis skills, with demonstrated ability to break down complex problems into phased deliverables required
Excellent verbal and written communication and presentation skills, including the ability to describe data science concepts to lay/nonexpert audiences required
Proficiency with Python (or R), including common machine/deep learning libraries and their implementation required
Fluency with data visualization tools, such as Tableau, Spotfire or PowerBI required
Ability to work independently and successfully complete assigned tasks on time without direct oversight required