Senior Applied Scientist
Alto
full-time
Posted on:
Location Type: Remote
Location: Remote • Maryland, Montana, New Jersey, South Carolina, Texas • 🇺🇸 United States
Visit company websiteSalary
💰 $166,400 - $208,000 per year
Job Level
Senior
Tech Stack
AWSAzureCloudGoogle Cloud PlatformPythonPyTorchSQLTensorflow
About the role
- 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
Requirements
- 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
- Deep experience in NLP, LLMs, Generative AI, and/or Reinforcement Learning (preferred)
- Experience in healthcare, pharmaceuticals, supply chain, or logistics optimization (preferred)
- Expertise in building and maintaining production-grade ML pipelines using cloud platforms such as AWS, GCP, or Azure (e.g., Kubeflow, Vertex AI, SageMaker) (preferred)
Benefits
- 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
- 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
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
machine learningnatural language processingreinforcement learningPythonSQLstatistical modelingML frameworksalgorithmic optimizationdata-driven solutionsproduction-grade ML pipelines
Soft skills
analytical mindsetcommunication skillsmentoringcollaborationinnovationproblem-solvinginfluencing decision-makingtechnical guidancebest practices advocacyexperimentation
Certifications
Master’s degreePhD