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Alto Pharmacy · 3 days ago

Senior Applied Scientist

Texas, United States

Full-time

Onsite

Senior Level, Lead/Staff

$166K/yr - $208K/yr

8+ years exp

Alto Pharmacy is a healthcare company focused on improving the pharmacy experience for patients and providers. They are seeking a Senior Applied Scientist to lead the development of advanced machine learning solutions, particularly in NLP and generative AI, to enhance prescription workflows and operational efficiency.

Hospital & Health Care

No H1B

Responsibilities

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

Qualification

Machine LearningNatural Language ProcessingPythonSQLML FrameworksCloud PlatformsAnalytical MindsetCommunication SkillsMentoringCollaboration

Required

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

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

Benefits

Dental

Vision

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

Additional supplemental insurance plans (spouse life insurance, legal insurance, an employee assistance program, and a fertility medication discount program)

Flexible vacation time

Accrued paid sick time

11 paid holidays (seven for Pharmacy and Care team members)

Eight weeks of paid parental leave for eligible employees