Senior Data Scientist - AI Services and Platforms

Company :

Highmark Health

Job Description :

JOB SUMMARY

***Entirely Remote Work From Anywhere Role!***

We are seeking an experienced data scientist to join our AI Services and Platforms (AIPS) team and drive the development of innovative AI (generative and predictive) based solutions for our enterprise stakeholders. The AIPS team is a critical enabler of AI-driven innovation within the company, functioning as an internal service provider to deliver cutting-edge AI solutions and infrastructure. In this role, you will be instrumental in translating business needs into AI solutions that align with strategic goals and enable long-term success across the organization.

As a Senior Data Scientist, you will leverage your expertise in AI and data to solve diverse business challenges. You will design and build best-in-class AI and agent evaluation capabilities, acting as a technical subject matter expert within cross-functional teams including Business Stakeholders, Data Science, Engineering, Responsible AI & Governance, and Product. You will be essential in laying the foundational R&D work for responsible and scalable AI solutions.

The ideal candidate will have a proven track record of successfully applying Generative AI and Predictive AI to solve complex business problems. This role will play a pivotal role in driving our organization’s digital transformation by harnessing the power of Generative AI and data science to extract valuable insights from vast and diverse datasets. We are looking for an individual with a deep understanding of AI techniques, as well as strong data science and problem-solving skills. A successful candidate will have experience with designing and implementing end-to-end evaluations of AI/ML solutions, incorporating principles of Responsible AI and building robust evaluation pipelines. Candidates should also have a strong interest in research and development and be eager to explore new ideas and contribute to the advancement of AI, GenAI, and agentic AI in the healthcare technology space. This role requires a professional dedicated to staying on top of the latest Gen AI research like RAG, fine-tuning, agents, etc., and is adept at applying them to create innovative products and services. The candidate will also be an excellent communicator, who is able to clearly articulate their findings to business stakeholders.

ESSENTIAL RESPONSIBILITIES

• 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:
• Outlining complex new use cases + creating high level impact estimates
• Identifying data elements needed and where to get them (including proxies)
• Assembling data sets independently using knowledge of Highmark operational and analytic data structures
• Deliver the analytical solution to a complex business problem
• Documenting objectives, assumptions and processes in line with our standards
• 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)
• 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.
• 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).
• Research self-…