Data Scientist | Pay

Palo Alto, California, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Healthcare, Health Insurance, SoftwareIndustries

Requirements

Candidates should have several years of experience solving real-world business problems with data and machine learning modeling. A proven ability to make team-level contributions and develop frameworks and tools to improve team efficiency is essential. The ideal candidate must be able to build a high-level, strategic work plan while maintaining attention to detail. Experience in precisely measuring and optimizing the business impact of work, handling large-scale, complex data, and writing production-quality code is required. A deep curiosity about healthcare is also necessary.

Responsibilities

The Data Scientist will master the understanding of various claims payment policies and healthcare concepts. They will build and improve models by thoughtfully curating data and creating features. The role involves precisely measuring and improving model performance against real-world outcomes and making operational recommendations to optimize model results. Additionally, the Data Scientist will interpret and refine large-scale data created by complex business workflows and advance the team’s capabilities by improving pipelines, infrastructure, and tools.

Skills

Machine Learning

Data Curation

Feature Engineering

Model Performance Measurement

Data Pipelines

Infrastructure

Tools Development

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