Senior / Staff Applied Scientist, Healthcare Decision Systems

Take a Seat Tech; New York (NY); Hybrid; USD 236,000 - 260,000; Full time

Job summary

Take a Seat Tech in New York City is seeking a senior or staff Applied Scientist to build production decision systems for care recommendations and affordability. This is a hands-on, production-focused role with ownership from objective definition to deployment and measurement.

You will apply Python, SQL, PyTorch, and XGBoost to craft decision algorithms, assess performance, and partner with engineering to deploy models at scale in a hybrid work setting.

Qualifications

• Four or more years in applied science, ML, or similar, or two or more years with an advanced degree.
• Strong mathematical judgment and practical implementation skills.
• Clear communication.

Responsibilities

• Develop decision algorithms and set evaluation metrics.
• Work with engineering to take models into production.
• Choose the right tool for each problem: machine learning, optimization, heuristics or a mix.

Skills

Clear communication

Strong mathematical judgment

Education

Four or more years in applied science or ML, or two or more years with an advanced degree

Tools

Python

SQL

PyTorch

XGBoost

Optimization

Job description

# Senior / Staff Applied Scientist, Healthcare Decision SystemsA New York senior or staff applied scientist role building production decision systems for care recommendations and affordability, paying $236,000 to $260,000 plus equity and benefits.$236,000 to $260,000 a year New York, New York (Hybrid)FULL\\_TIMEBrowse open rolesHealthTechData & AIFULL\\_TIME## About the roleTurn hard healthcare questions into better decisions.A healthcare technology company is hiring an Applied Scientist to build the systems behind care recommendations, member engagement and healthcare affordability. This is a production role, not a reporting one: you own problems from defining the objective through choosing an approach, deploying it and measuring whether it works.At a glanceSalary: $236,000 to $260,000 a year, plus equity and benefitsLocation: New York CityStack: Python, SQL, PyTorch, XGBoost, optimization and model evaluationWhat you will doDevelop decision algorithms and set evaluation metrics.Work with engineering to take models into production.Choose the right tool for each problem: machine learning, optimization, heuristics or a mix.What you will bringFour or more years in applied science, machine learning or similar, or two or more years with a relevant advanced degree.Strong mathematical judgment and practical implementation skills.Clear communication.Why this roleReal ownership of open-ended problems, with influence over technical standards and a direct line to real-world outcomes.How to applyApply with your resume and an example of an algorithmic system you have delivered.## Apply in under two minutesApply with your LinkedIn profile or upload a CV. An email address is required; everything else is optional. Every application is read by us, not a filter.## Questions candidates ask about this roleWhat does this applied scientist role pay?: $236,000 to $260,000 a year, plus equity and benefits.Is this a research or reporting role?: Neither. It is production-focused: you own problems through deployment and measure whether solutions work.What experience is required?: Four or more years in applied science or machine learning, or two or more with a relevant advanced degree.