Full-Time Data Science Engineer

Pager Health is a connected health platform company that enables healthcare enterprises to deliver high-engagement, intelligent health experiences for their patients, members and teams through integrated technology, AI and concierge services.

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.

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, from engineering to sales, spanning different countries and regions.
• Evaluate design of competitive products to seek and identify beneficial enhancements.
• Support the Director of Product-Data and AI in building a compelling roadmap.
• Identify and design tools and processes for production and distribution.
• Leverage biostatistics and traditional statistical methods to advance data use.
• Work with data, AI, and analytics to improve the Pager Health enterprise and member experience.

Requirements:

• 5+ years related work experience with 2+ years of data science or machine learning engineering experience.
• Bachelor's degree or higher in a quantitative field.
• Proven experience as a Data Scientist within the healthcare industry.
• Demonstrated Generative AI competencies.
• Demonstrated experience 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 with GCP or other cloud providers.
• Strong ability to independently initiate projects, hypothesize data & business flows, and offer technical solutions.
• Strong business analytical skills.
• Ability to write clear, concise reports and presentations.
• Understanding of risk management methodology.
• Ability to work independently and within a team.
• Passion for growth and learning new techniques.
• Experience with biostatistics related to population health, a plus.
• Knowledge of a deep learning library (e.g., PyTorch, TensorFlow), a plus.

Compensation:

For Colorado, Nevada, New York, and Washington DC-based employment: $125,000 to $139,000 (USD). Compensation package may include stock options, medical, dental, vision, financial, PTO, professional development stipends, and wellness benefits.

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