Principal Data Scientist

This is a fully remote position, open to applicants in United States.

📋 Description

• Lead the strategy and implementation of machine learning initiatives.

• Establish essential infrastructure to support scalable machine learning applications.

• Oversee MLOps engineering, which includes the automation, deployment, and monitoring of machine learning models.

• Act as the go-to analytics authority for an Oasis workstream.

• Create analytics data models using DBT.

• Identify data sources for patient intervention and risk assessment while evaluating program effectiveness.

• Develop predictive models to pinpoint target patient groups.

• Leverage AI and LLMs to enhance engagement for both patients and providers.

• Examine clinical data sourced from payors and providers.

• Evaluate the performance of clinical programs.

• Assess workflow and operational data.

• Construct the analytics layer for both executive and operational dashboards.

• Direct the data and analytics function, managing predictive modeling capabilities from inception to completion.

• Collaborate effectively with Executive, Operations, Clinical, Product, Finance, and Technology teams.

⛳️ Requirements

• At least 8 years of experience in healthcare analytics, with practical expertise in real-world data.

• Proficient in advanced SQL for intricate data analysis and reporting.

• Advanced Python skills for the development and production of machine learning models.

• Experience in creating impactful BI reports and dashboards tailored for end-users.

• Ability to adapt to emerging technologies.

• Comfortable navigating the uncertainties and rapid changes typical of a startup environment.

• Strong communication skills to facilitate collaboration between technical and non-technical teams, including operational and clinical groups.

• Capability to efficiently manage and prioritize multiple tasks and projects.

• Candidates must have authorization to work in the United States without any current or future visa sponsorship.

• Applicants must currently reside in the United States.

• Preferred: Prior experience in a health plan or Managed Service Organization.

• Preferred: Understanding of Medicare Advantage populations and their specific healthcare requirements.

• Preferred: Experience in value-based care organizations.

• Preferred: Familiarity with AWS, DBT, and Snowflake.

🏝️ Benefits

• Medical insurance.

• Dental insurance.

• Vision insurance.

• 401(k).

• Generous time off policies.

• Professional development program starting from onboarding and continuing throughout the career.