Staff Data Scientist | Modeling

Palo Alto, California, United States

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Healthcare, Health Insurance, SoftwareIndustries

Requirements

The ideal candidate has experience solving real-world business problems with data-driven optimization and ML modeling, and is comfortable measuring and optimizing the business impact of their work. Proficiency in SQL, handling large-scale data, and at least one programming language like Python or R is required. Experience building ML models from scratch using modern approaches such as Neural Nets or Tree-ensembles, including decisions on supervised labels, optimization metrics, and feature selection, is essential.

Responsibilities

The Staff Data Scientist will dive into clinical and coding audits to understand data drivers and past outcomes, curate labeled data, hypothesize new features, and develop ML models to target claims for audit with greater precision. They will rigorously measure model performance, translate outcomes into operational insights, and refine vast, nuanced data pipelines for robust modeling. Responsibilities also include enhancing data pipelines, modeling infrastructure, and team tools to improve capabilities and decision-making efficiency, as well as building expertise in healthcare data and engaging with clients and internal experts to refine model insights.

Skills

Machine Learning

Data Modeling

Feature Engineering

Data Curation

Model Optimization

Data Pipelines

Claims Auditing

Clinical Data

Coding Audits

Python

SQL

Machinify

AI-driven solutions for healthcare administration

About Machinify

Machinify provides AI-driven solutions to improve decision-making in the healthcare industry. Its platform helps health plans, payers, and providers optimize their operations, particularly in areas like claims processing and utilization management. The applications offered by Machinify can be quickly deployed, allowing clients to see immediate returns on investment. This focus on rapid implementation sets Machinify apart from competitors, as healthcare organizations increasingly seek cost efficiency and better patient outcomes. The company's goal is to enhance operational efficiency and help clients manage healthcare expenditures more effectively.

Palo Alto, CaliforniaHeadquarters

2016Year Founded

$15.2MTotal Funding

SERIES_ACompany Stage

AI & Machine Learning, HealthcareIndustries

51-200Employees