Senior Data Scientist - AI Services and Platforms

Job Summary

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 and 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 (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
, able to clearly articulate findings to business stakeholders.

• Work directly with the business to understand their processes and aims, then identify how analytical solutions could deliver value.
• Outline new use cases and create high‑level impact estimates.
• Identify data elements needed and where to obtain them, including proxies.
• Assemble data sets independently using knowledge of operational and analytic data structures.
• Deliver analytical solutions to complex business problems.
• Document objectives, assumptions, and processes in line with company standards.
• Select and apply appropriate advanced modeling/machine‑learning techniques, ensuring the final analysis is well‑researched, accurate, and documented.
• Consult with the business to contextualize results, preparing written reports, presentations, and visualizations that link analyses to business objectives.
• Plan, prepare, and deliver all analysis elements on time and to a high standard, ready for production implementation.
• Research new analytical skills and approaches; build internal and external relationships to maintain subject‑matter expertise.
• Other duties as assigned or requested.

• Required
  :
  Master’s degree in Analytics, Mathematics, Physics, Computer and Information Science, Engineering, or a closely related field; OR Bachelor’s degree in a related field plus 3 years of experience in lieu of a Master’s degree.
• Preferred
  :
  None.

• Required
  : 2 years of data science experience; or 0 years if PhD education.
• Preferred
  :
  Ability to stay abreast of research, 3+ years of Python AI/ML development, experience deploying models on AWS Sage Maker, Azure ML, or Vertex AI, knowledge of LLM services, familiarity with RAG tools, end‑to‑end AI/ML evaluation, creative problem‑solving, and excellent communication.

• Required
  :
  None.
• Preferred
  :
  None.

• Analysis of business problems and needs
• Analytical and logical reasoning
• Collaborative problem solving
• Data analysis with SQL and Big Query
• Statistical analysis with Python and R
• Written and oral presentation skills
• Basic prototyping and front‑end skills

0% - 25%

Office‑Based

Minimum: $ | Maximum: $

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