Staff Applied Scientist

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Requirements:

• Master's degree in a quantitative field, such as Mathematics, Computer Science, Accounting, Engineering, or Economics.
• 12 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, high level of proficiency in SQL and Machine Learning (scikit-learn, XGBoost, Keras/Tensorflow) tools.
• Strong written and verbal communication skills with the ability to inform and influence a non-technical audience using insights found through complex technical concepts.
• Strong analytical and critical thinking skills with a strong bias toward actionable insights; love finding insights and getting others to act on them.
• Expertise using project management fundamentals and applying data-based prioritization and trade-off decision making

Responsibilities:

• Be a thought leader in the ML space and continue to identify 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 our operational efficiency by continually refining and advancing our algorithms and models
• Collaborate closely with product managers, software engineers, data scientists, and pharmacists to deeply understand Alto’s business needs and create impactful ML applications
• Communicate complex technical concepts to non-technical stakeholders.
• Mentor applied scientists & data scientists and contribute to the development of best practices within the Data Science team.