Data Scientist Jobs

About The Position

Requirements

• Four or more years of experience in a data science or applied machine learning role.
• Demonstrated ability to take models from development to production in a real product environment, including experience taking at least one model to production.
• Strong proficiency in Python and SQL.
• Solid grounding in statistics, probability, and machine learning fundamentals.
• Hands-on experience with machine learning frameworks such as scikit-learn, XGBoost, or similar.
• Experience with cloud infrastructure, preferably AWS.
• Experience with data pipeline tooling and orchestration such as sqlMesh, Temporal, or equivalent.
• Ability to communicate findings clearly to technical and non-technical audiences.
• Experience with MLOps tooling, including experiment tracking (MLflow or similar), orchestration (Temporal, Prefect), and model monitoring.

Nice To Haves

• Exposure to EHR or RCM data.
• Familiarity with anomaly detection methods.
• Familiarity with recommendation systems.

Responsibilities

• Build and deploy machine learning models that power core analytics and intelligence features.
• Conduct exploratory data analysis on large-scale claims datasets to identify patterns and anomalies.
• Collaborate with engineering to integrate models and data products into production systems.
• Monitor model performance and iterate based on results.
• Communicate findings clearly to cross-functional stakeholders, including product and customer-facing teams.
• Contribute to data pipeline and warehouse development as needed.

Benefits

• Competitive equity packages.
• Employer-paid medical insurance.
• Employer-paid dental insurance.
• Employer-paid vision insurance.
• Employer-funded HSA.
• Parental leave.
• Commuter benefits.
• Office lunches every day.
• Office snacks.
• Generous PTO.
• Office location at 3 World Trade Center with access to trains and the PATH and city views.