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Euless, Texas, United States
Remote only
Not Available
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.
6+ 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 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 operate a computer that include the wrists, hands and fingers, and lift, carry, push, pull, and move light objects up to 20 pounds. The role also requires the ability to effectively communicate through verbal interactions, discern auditory information, and visually perceive details to perform essential job functions.
Consistent with the Americans with Disabilities Act (ADA) and similar applicable state laws, it is Alto’s policy to provide reasonable accommodation to enable qualified individuals with disabilities to perform essential job functions, unless such accommodation would cause an undue hardship.
Salary and Benefits
Base Range: $136,000 - $170,000
Commission Eligible: No
Travel: No
Location Requirement: Employment at Alto is limited to individuals residing in the following states: Arizona, Arkansas, California, Colorado, Florida, Kansas, Maryland, Missouri, Nevada, New Jersey, New York, North Carolina, Oregon, Pennsylvania, South Carolina, Tennessee, Texas, Washington (WA), and Wisconsin.
Employment Authorization Requirement: Applicants must be authorized to work for any employer in the U.S. At this time, Alto is unable to sponsor or take over sponsorship of an employment Visa.
Benefits: Full-time employee benefits include: dental, vision, and multiple group medical plans to choose from, a 401(k) retirement savings plan, group life insurance, accidental death and dismemberment (AD&D) insurance, flexible spending account (FSA) and health savings account (HSA), commuter benefits, employer-paid short-term (STD) and long-term disability (LTD) insurance, and additional supplemental insurance plans (spouse life insurance, legal insurance, an employee assistance program, and a fertility medication discount program). Employees are also provided flexible vacation time, accrued paid sick time, 11 paid holidays (seven for Pharmacy and Care team members), and eight weeks of paid parental leave for eligible employees.
Application deadline: March 15, 2026
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Fuze Health is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, national origin, religion, sex, gender identity, sexual orientation, age, disability, veteran status, or any other legally protected basis. If you have a disability and require reasonable accommodation during any portion of the application or hiring process, please contact us at talent@fuzehealth.com.
Fuze Health considers qualified applicants with arrest or conviction records for employment and conducts background checks consistent with applicable law, including the California, Los Angeles County, San Francisco, Philadelphia, and New York City Fair Chance laws. We are an E-Verify participating company.
Fuze Health recruiters and hiring managers may use automated decision-making tools to assist with identifying candidates who match the stated job requirements, and to what extent. These tools are designed to help ensure fairness in all aspects of the hiring process by providing recruiters and hiring managers with data-backed insights based on information provided in your resume, including work experience, education, and other skills. If you have any questions or would like to request an alternative process, please contact us at talent@fuzehealth.com. To learn about Fuze Health’s privacy practices including compliance with applicable privacy laws, please click here.
