Data Science Consultant

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