Senior Applied Scientist

Texas, United States

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Pharmacy, Healthcare, RetailIndustries

Requirements

Candidates must possess a Master's degree in a quantitative field such as Mathematics, Computer Science, Accounting, Engineering, or Economics, along with seven or more years of experience as an Applied Scientist, Data Scientist, Machine Learning Engineer, or a similar role. Demonstrated experience in developing impactful machine learning models, deploying ML/AI solutions to production, and expertise in NLP, LLMs, Generative AI, and/or Reinforcement Learning are essential. A strong programming background in Python, proficiency in SQL, and experience with machine learning tools like scikit-learn, XGBoost, and Keras/Tensorflow are required. Preferred qualifications include a PhD in a quantitative field, experience in the healthcare or pharmaceutical industry, familiarity with supply chain optimization or logistics, proficiency in cloud platforms (AWS, Google Cloud, Azure) and toolkits like Kubeflow, strong communication and analytical skills, and expertise in project management fundamentals.

Responsibilities

Applied Scientists are responsible for the full life cycle model development, including ideation, prototyping, testing, deployment, and maintenance. They will act as thought leaders in the ML space, identifying opportunities to build intelligence and automate prescription processing while upholding patient safety standards. Key duties include designing, developing, deploying, and maintaining statistical and machine learning solutions leveraging NLP, generative AI, and reinforcement learning. Responsibilities also encompass refining algorithms and models to enhance operational efficiency, collaborating with cross-functional teams to create impactful ML applications, communicating complex technical concepts to non-technical stakeholders, and mentoring junior scientists while contributing to team best practices.

Skills

NLP

Reinforcement Learning

Large Language Models

Generative AI

Machine Learning

Statistical Modeling

Algorithm Development

Model Deployment

Model Maintenance

Data Science

Machine Learning Engineering

Alto Pharmacy

Digital pharmacy offering same-day medication delivery

About Alto Pharmacy

Alto Pharmacy operates as a digital pharmacy that delivers medications directly to customers' homes on the same day. This service is designed for individuals who may not have the time to visit a traditional pharmacy. Customers can use the Alto app to consult with pharmacists about their medications, addressing any concerns they may have regarding side effects or other issues. Additionally, Alto Pharmacy helps customers save money by actively searching for coupons and discounts to provide medications at lower prices. Unlike many traditional pharmacies, Alto focuses on convenience and customer care, making it easier for people to manage their prescriptions. The company's goal is to enhance the pharmacy experience by combining fast delivery, accessible pharmacist support, and cost-saving options.

San Francisco, CaliforniaHeadquarters

2015Year Founded

$664.4MTotal Funding

CONVERTIBLECompany Stage

HealthcareIndustries

501-1,000Employees