Senior Data Scientist

This role focuses on identifying, designing, and engineering analytical solutions that expand our organization’s advanced analytics capabilities. You will partner with internal and external experts to contribute to a portfolio of next-generation analytic products. You will be confident working with large volumes of data from multiple sources, identifying insights to answer critical business questions. You will also use advanced machine learning algorithms to produce predictive models that drive our business partners’ strategies. You will be responsible for the complete project lifecycle, from exploration to delivery, ensuring the intended outcome is achieved. The ideal candidate will have a proven track record of successfully applying machine learning techniques to solve complex business problems and drive new opportunities. You will also be able to clearly articulate findings through proposals to business partners in the healthcare domain, demonstrating your understanding of the pillars of data science needed to extract knowledge and insights.

ESSENTIAL RESPONSIBILITIES

1. Work directly with the business to understand their business processes and aims, then identify how analytical solutions could help deliver value for them. This would include being accountable for:
2. Outlining complex new use cases + creating high level impact estimates
3. Identifying data elements needed and where to get them (including proxies)
4. Assembling data sets independently using knowledge of Highmark operational and analytic data structures
5. Deliver the analytical solution to a complex business problem
6. Documenting objectives, assumptions and processes in line with our standards
7. 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: Experience with a substantial number of advanced analytical techniques and proficiency in a few, evidenced by in-depth knowledge and delivery record (for example regression models, tree-based learning, neural networks, clustering techniques, natural language processing)
8. Consult with the business to contextualize and translate the results of our analysis in a form which the business can understand and act upon. This will include: Written reports, presentation and data visualizations, and draws clear lines between the high-level problem specifications for colleagues and stakeholders, the analyses performed, and how the results link directly back to business objectives, and work with colleagues to deliver implementation which drives frontline workflow.
9. Plan, prepare and deliver/coordinate all elements of the analysis at the direction of a manager in such a way that it is delivered on time, to a high standard and ready to implement 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).
10. 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 fellow data scientists and analysts to guide analysis and deliver larger projects.
11. Other duties as assigned or requested.