Data Science Engineer

We're seeking a skilled Data Science Engineer to join our team, where you'll spearhead the development of predictive models. Your mission will be to collaborate closely with healthcare stakeholders, uncover 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 with 2 + years of data science or machine learning engineering experience including delivering high quality data science solutions to stakeholders.

• Bachelor's degree or higher in a quantitative field such as statistics, computer science, mathematics, or a related discipline.  

• Proven experience as a Data Scientist within the healthcare industry.  

• Demonstrated Generative AI competencies with an emphasis on understanding new GenAI concepts.  

• Demonstrated experience in applying data science techniques to healthcare datasets, including proficiency in Python/R and SQL.  

• Experience developing and productionizing end-to-end AI models at scale.  

• Bilingual English/Spanish speaking preferred.  

• Experience with streaming and real time models a plus.  

• Working knowledge of application development and/or web development and version control preferred.  

•  Experience working with GCP or other cloud providers.  

•  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.  

For Colorado, Nevada, New York, and Washington DC-based employment: In accordance with the Pay Transparency laws the pay range for this position is $125,000 to $139,000. The compensation package may include stock options, plus a range of medical, dental, vision, financial, generous PTO, stipends for professional development, and wellness benefits.  Final compensation for this role will be determined by various factors such as a candidate's relevant work experience, skills, certifications, and geographic location. The range listed only applies to Colorado, Nevada, New York, and Washington DC.