Key Responsibilities:

Write code using PyTorch and/or Tensorflow to implement, test, and operationalize deep learning models
Collaborate with data scientists and engineers to improve deep learning models and implement business-facing solutions built on top of those models
Take responsibility for improving code performance and quality
Follow developments in deep learning technology to identify opportunities to improve models

Qualifications:

Data Science Technical Skills

Bachelors or Masters (Preferred) in statistics, computer science or equivalent field with 11-13 years of relevant experience
Strong proficiency in ML, statistics, python or R, SQL, version control (e.g., Git), health care data (e.g., claims, EHR), with emphasis on Tensorflow and Pytorch
Ability to promote best coding practices, championing a culture of documentation/logging
Thorough understanding of ML lifecycle, including necessary tradeoffs and associated risks

Leadership in Data Science

Can own a project end-to-end e.g., scoping, business value estimation, ideation, dev, prod, timeline
Collaborates and guides junior team members in completion of projects and career development
Works cross functionally with technical (e.g., Data Science, Data Engineering) and business (e.g., clinical, marketing, pricing, business analysts) to implement solutions with measurable value

Scope and Impact

Independently delivers clear and well-developed presentations for both technical and business audiences
Creates data science specific project goals associated with project deliverables
Articulates timeline changes, rationale, and goals to meet deadlines moving forward
Values diversity, growth mindset, and improving health outcomes of our customers

Level of Influence

Communicate with stakeholders to identify opportunities and possible solutions based on business need
Draft project charter, timeline, and features/stories
Influence matrix-partner leadership

Data Science Advisor - HIH - Evernorth

Data Science Senior Advisor-HIH-Evernorth