Senior Applied Scientist

About the Role

Key Responsibilities

• Accelerate your career as a thought leader in the ML space and 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 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 & data scientists and contribute to the development of best practices within the Data Science team.

Requirements

• 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.
• Experience with NLP, LLMs, Generative AI, and/or Reinforcement Learning.
• Strong programming background in Python, high level of proficiency in SQL and Machine Learning tools such as scikit-learn, XGBoost, Keras/Tensorflow.
• Strong written and verbal communication skills with the ability to inform and influence a non-technical audience.
• Strong analytical and critical thinking skills with a bias toward actionable insights.

Nice to Have

• PhD in a quantitative field, such as Mathematics, Computer Science, Accounting, Engineering, or Economics.
• Experience in 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 such as Kubeflow.
• Expertise in project management fundamentals and applying data-based prioritization and trade-off decision making.

Qualifications

• Master's degree in a quantitative field.
• Seven or more years of relevant experience.

Benefits & Perks

• Salary Range: $220,000 - $250,000
• Full-time benefits include Medical, Dental, Vision, 401(k), Group Life, AD&D, Employer paid STD/LTD, generous PTO and parental leave.
• Equity eligible.
• Remote work with up to 10% travel for leadership or offsite meetings.