Data Scientist - Remote

We're seeking a skilled Data Scientist to join our team, where you'll spearhead the development of predictive models. Your mission will be to collaborate closely with healthcare stakeholders, uncovering key business challenges and work with complex healthcare data sets to improve the Pager Health enterprise and member experience. This role will report to the Director of Product – Data & AI and will work cross functionally with stakeholders across the company.   

Responsibilities:  

• Develop predictive models to forecast trends, optimize resource allocation, and improve outcomes, utilizing machine learning and statistical methodologies. 
• Develop and deploy prototype and/or production models and proposed products based on foundational LLMs.  
• Design and tune, comprehensively test, automate deployment, and monitor existing models. 
• Work effectively with all areas of the organization in a global company, from engineering to sales, spanning different countries and regions on proof of concepts and/or technical projects. 
• Evaluate design of competitive products in the marketplace to seek and identify beneficial enhancements to our own products.  
• Support the Director, Product-Data and AI in building a compelling roadmap using the latest technical advances in ML and AI. 
• Identify and design tools and processes required for production and distribution. 
• Leverage biostatistics and other traditional statistical methods to advance our use of data. 
• Work with data, AI, and analytics to improve the Pager Health enterprise and member experience.

Requirements:  

• 5+ years related work experience relevant work experience. 
• Bachelor's degree or higher in a quantitative field such as statistics, computer science, mathematics, or a related discipline. 
• 2 + years of data science or machine learning engineering experience including delivering high quality data science solutions to stakeholders. 
• Proven experience as a Data Scientist within the healthcare industry. 
• Demonstrated Generative AI competencies. 
• Demonstrated experience in applying data science techniques to healthcare datasets, including proficiency in Python/R and SQL.
• Experience developing and productionizing machine learning models at scale.
• Experience with streaming and real time models a plus.
• Working knowledge of application development and/or web development and version control preferred.
• Working knowledge of 'Big Data' concepts, No SQL dbs, Spark, etc preferred.
• Strong ability to independently and proactively initiate projects, hypothesize data & business transaction flows and offer technical solutions.  
• Strong business analytical skills a must; ability to apply business logic to design and implement data profiling & exploring techniques on large data sets. 
• Ability to write clear, concise reports and presentations for both peers and management, with an ability to orally communicate effectively; organizational and documentation skills a must.   
• An understanding of risk management methodology and factors. 
• Demonstrated ability to work independently and within a team in a fast changing environment with changing priorities and changing time constraints. 
• Passion for growth and learning new techniques with vigor and enthusiasm. Strong individual contributor with top notch team collaboration skills.
• Experience with biostatistics as related to population health, a plus. 
• Knowledge of a deep learning library (e.g. PyTorch, Tensorflow), a plus.
• Knowledge of statistical analysis, data mining and predictive modeling tools and techniques, a plus.