Lead Data Scientist

Company:AHI agilon health, inc.

Location:Remote - USA

Job Title: Lead Data Scientist

Job Description:

Position Summary:

Title: Lead Data Scientist

Reports to: VP, Engineering

agilon health is transforming healthcare by empowering community-based physicians with the resources and expertise they need to innovate the payment and delivery of care for seniors. The agilon health Total Care Model is powered by our purpose-built platform and enabled through a growing national network of like-minded physician partners. With agilon health, physicians are freed from the constraints of the transactional fee-for-service reimbursement model and are able to practice team-based, coordinated care to serve the individual needs of their old adult patients and to transition to a sustainable and predictable, long-term business model.

As on of many new key members of agilon health’s Technology Group, step into a key role in building and expanding our D ata S cience and ML engineering teams. This is... a ground up opportunity to help define, develop and implement our ML strategy to sol ve some of the hardest problems in healthcare space using machine learning.

You will own the full end to end ML development lifecycle from engaging with senior leadership in the company and customers to identify impactful ML opportunities, to defining and implementing ML development workflows from data acquisition, model development, training and deployment/operationalizing the models on cloud based ML platforms. If you are excited about using ML to have a meaningful impact on doctors and patients, have deep sense of ownership with your software and strong track record of model development, evaluation and deployment in cloud environment, lets chat more!

Job Functions:

• As a leader in Data science organization, lead multiple scrum teams to deliver innovative ML solut ions in healthcare space
• Keep up to date, latest developments in ML space and i ncorporate these in our best practices
• Help define the data science development workflows from coding and architecture best practices, data strategy, to ML training and Inference platforms
• Work closely with internal and external stakeholders, both technical and non-technical and help translate deep ML knowledge to stakeholders.
• Work closely with ML engineering/Infrastructure team to help define the vision of ML training and ML inference platforms running on Cloud
• Mentor and grow Junior data scientists in the team on both DS modeling and software engineering skills

Qualifications

• Advanced degree (PHD, MS) in relevant field
• 5+ years of experience in building, training and deployment of models
• Strong experience with ML frameworks such as TensorFlow, Keras , PyTorch etc
• Strong proficiency in Python
• Strong experience in both classical ML modeling approaches and Deep learning based model approaches
• Deep NLP knowledge and AWS experience preferred
• Experience collaborating with cross functional teams and stakeholders to evaluate new ML opportunities