Applied Scientist, Data Science

Employment Type: Full-time

Position Overview

Alto is investing in its Data Science & Analytics team to make a difference for patients and providers. Our Data Science team collaborates closely with Product & Engineering to tackle challenging and impactful problems, transforming retail pharmacy with a focus on prescription processing efficiency and dispensing accuracy. Applied Scientists are responsible for the full lifecycle model development, from ideation, prototyping, testing, deployment, and maintenance. Expertise in NLP, reinforcement learning, and large language models is critical for driving innovation and improving the efficiency and accuracy of our supply chain.

Responsibilities

• Be a thought leader in the ML space, identifying opportunities to build intelligence and automate prescription processing while maintaining industry-leading patient safety standards.
• Design, develop, deploy, and maintain statistical and machine learning solutions leveraging NLP, generative AI, and reinforcement learning.
• Push the envelope on operational efficiency by continually refining and advancing algorithms and models.
• Collaborate closely with product managers, software engineers, data scientists, and pharmacists to understand business needs and create impactful ML applications.
• Communicate complex technical concepts to non-technical stakeholders.
• Mentor applied scientists and data scientists, contributing to the development of best practices within the Data Science team.

Requirements

Minimum Qualifications

• Master's degree in a quantitative field, such as Mathematics, Computer Science, Accounting, Engineering, or Economics.
• Seven years or more of experience as an Applied Scientist, Data Scientist, Machine Learning Engineer, or similar role.
• Demonstrated experience developing machine learning models with business impact, and shipping ML/AI solutions to production.
• Demonstrated experience with NLP, LLMs, Generative AI, and/or Reinforcement Learning.
• Strong programming background in Python, with high proficiency in SQL and Machine Learning tools (scikit-learn, XGBoost, Keras/Tensorflow).

Preferred Qualifications

• PhD in a quantitative field, such as Mathematics, Computer Science, Accounting, Engineering, or Economics.
• Experience in the healthcare or pharmaceutical industry.
• Experience with supply chain optimization, marketplaces, or logistics.
• Proficiency in using cloud platforms such as AWS, Google Cloud, or Azure, leveraging toolkits like Kubeflow.
• Strong written and verbal communication skills with the ability to inform and influence a non-technical audience using insights from complex technical concepts.
• Strong analytical and critical thinking skills with a bias toward actionable insights.
• Expertise using project management fundamentals and applying data-based prioritization and trade-off decision-making.

Salary and Benefits

• Salary Range: $220,000 - $2

Location Type

• [Information not provided]

Additional Information

Physical Job Requirements

• Ability to work at a computer terminal with monitor, keyboard, and mouse for extended periods.
• Ability to stoop, bend, and reach for equipment and supplies.
• Ability to make frequent repetitive motions required to operate a computer (wrists, hands, and fingers).
• Ability to lift, carry, push, pull, and move light objects up to 20 pounds.
• Ability to effectively communicate through verbal interactions.
• Ability to discern auditory information.
• Ability to visually perceive details to perform essential job functions.

Alto is committed to providing reasonable accommodation to qualified individuals with disabilities to perform essential job functions, in accordance with the Americans with Disabilities Act (ADA) and similar applicable state laws, unless such accommodation would cause an undue hardship.