Job Summary
 

At Fuze Health, we put patients first and tirelessly address the most pressing needs in healthcare. We empower millions to digitally connect with care providers, essential health resources and needed treatments – and enable care providers, employers, health plans and life sciences companies to meaningfully enhance quality, outcomes and value. We are dedicated to helping our partners evolve and modernize to meet emerging patient and marketplace needs.
Fuze Health’s foundation is built upon the strategic combination of several proven, technology-powered innovators in the digital health, diagnostics, and pharmacy sectors. Our growing portfolio brings together the capabilities of industry leaders including LetsGetChecked, Truepill, and Alto Pharmacy, to create a distinctive, unified force in healthcare. Together, we have the shared vision, advanced capabilities and talented teams to deliver next-generation solutions that patients and healthcare partners need today and into the future.

To achieve our vision, we are expanding our Data Science & Analytics team to further transform the pharmacy experience for patients and providers. Our Data Science team partners closely with Product and Engineering to solve the most complex and high-impact problems in healthcare technology—driving breakthroughs in prescription processing efficiency, operational optimization, and dispensing accuracy. As a Senior Applied Scientist, you will lead the end-to-end development of advanced machine learning solutions, guiding initiatives from ideation through production, and mentoring peers across the organization. Your deep expertise in NLP, large language models, and machine learning systems will accelerate innovation and shape the future of pharmacy operations.

Job Description
 

What You’ll Do

• Lead the design, development, deployment, and scaling of advanced ML models leveraging NLP, generative AI, and reinforcement learning to improve prescription and fulfillment workflows.

• Identify and prioritize high-impact opportunities for ML and automation, collaborating with product, engineering, and operations leadership.

• Drive innovation in operational efficiency through algorithmic optimization, experimentation, and applied research.

• Partner with cross-functional teams—product managers, engineers, data scientists, and pharmacists—to translate business challenges into data-driven solutions.

• Establish and advocate for best practices in experimentation, model evaluation, and responsible AI within the Data Science organization.

• Mentor and provide technical guidance to Applied Scientists and Data Scientists across projects.

• Communicate technical findings and recommendations clearly to executives and non-technical stakeholders to influence data-driven decision-making.

A Bit About You

Minimum Qualifications

• Master’s or PhD in a quantitative field such as Computer Science, Mathematics, Engineering, or a related discipline.

• 8+ years of experience as an Applied Scientist, Machine Learning Engineer, or Data Scientist, with a proven record of delivering ML/AI models to production.

• Demonstrated experience applying machine learning and statistical modeling techniques to complex real-world problems with measurable business impact.

• Advanced proficiency in Python and SQL, with experience in ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face).

• Strong analytical mindset with the ability to break down ambiguous problems into actionable solutions.

• Excellent communication skills with the ability to distill complex technical ideas into clear business insights.

Preferred Qualifications

• Deep experience in NLP, LLMs, Generative AI, and/or Reinforcement Learning.

• Experience in healthcare, pharmaceuticals, supply chain, or logistics optimization.

• Expertise in building and maintaining production-grade ML pipelines using cloud platforms such as AWS, GCP, or Azure (e.g., Kubeflow, Vertex AI, SageMaker).

• Demonstrated ability to lead cross-functional initiatives, influence strategy, and mentor junior scientists.

Additional Information
 

Additional Physical Job Requirements

Physical requirements for this role include the ability to work at a computer terminal with monitor, keyboard and mouse for extended periods of time, stoop, bend, and reach for equipment and supplies, make frequent repetitive motions required to op