The job builds new analytical solutions which inform business processes and operations, sits at the heart of our advanced analytics capability. The incumbent designs, executes and synthesizes analytics to support specific business questions, programs or initiatives. The incumbent will be a data-driven problem solver who understands and utilizes the Organization's business partner’s strategies, goals and processes to answer critical business questions by leveraging and synthesizing the large volume and variety of data available to them. Draws on tools and methods from statistics and machine learning to perform analysis, create predictive models, visualize data, and drive projects through to delivery of the intended outcome. Continuously scans and tests new data sources, tools, and analytical techniques and partners with leading institutions and experts to contribute to our portfolio of next-generation analytic projects.
Essential Job Functions:
- Work directly with the business to understand their questions, business processes, programs and/ or initiatives, then identifying how analytical solutions could help deliver value for them (e.g., more effective and/ or efficient processes). This would include leading on and being accountable for, outlining new use cases, creating high level impact estimates, and identifying the necessary data elements (including proxies) to deliver the analytical solution. Assemble data sets using knowledge of where the required data exists within the Organization's source data system, derived production sets or publicly available sources. Includes securing appropriate access and documenting objectives, assumptions and processes.
- Select and apply the appropriate advanced modeling/machine learning techniques to these data sets to deliver business insight, ensuring that the final analysis is well researched, accurate, and documented. This requires technical flexibility, in-depth knowledge and delivery of advanced analytical approaches, for example regression models, tree-based learning, neural networks, clustering techniques, natural language processing.
- Consult with the business to contextualize and translate the results of our analysis in a form which the business can understand and take action on. This will be include written reports, presentation and data visualizations, and draws clear lines between the high-level problem specifications, the analyses performed, and how the results link directly back to business objectives. It requires data scientists to demonstrate their depth of understanding of many areas of the business, the data and the analytical methods through ongoing engagement with a range of audiences.
- Plan, prepare and deliver/coordinate all elements of the analysis in such a way that it is delivered on time, to a high standard and ready to implemented on a production basis (including dissemination through the Organization's user systems). This includes identifying the best route to implementation (developing the analytical solution accordingly).
- Research self- directed new analytical skills and approaches, building relationships internally and externally to transfer knowledge and maintain their position as subject matter experts, consult with follow data scientists and analysts to guide analysis and deliver larger projects.
- Other duties as assigned.
- Master's Degree in Mathematics, Physics, or Computer and Information Science
(substitution: Bachelors with significant relevant work experience instead of a post-graduate degree)
- 5 - 10 years in Data Analytics
- 5 - 7 years using Large Datasets
- 5 - 7 years utilizing Statistical Software
- 5 - 7 years in Data Visualization
- 3 - 5 years in Predictive Modeling
- 1 - 3 years in the Healthcare Industry
- 1 - 3 years in Research and Development
- 1 - 3 years in a Business Analyst role
- 1 - 3 years in Consulting
- Natural Language Processing (NLP)
- 1 + years of scientific research
- 1 + years in the Healthcare Industry
- Significant written & oral presentation experience
- Statistical Analysis
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