Sr. Data Scientist | Modeling

machinifyinc; Stati Uniti; Remoto; USD 180.000 - 230.000; Tempo pieno

Vantaggi offerti da questo lavoro

Remote work

Medical benefits

401(k) match

Tuition reimbursement

Wellness benefits

Descrizione del lavoro

Machinify Inc. seeks a machine learning engineer to build and improve models that help health plans select claims for clinical and coding audits. The role blends hands-on modeling with data pipelines and team tools to make insights actionable in audit workflows.

You will work remotely from anywhere in the United States, with a base salary described as level- and experience-dependent, typically within $180,000–$230,000 plus equity, and a range of health, wellness, and retirement benefits.

Competenze

• Experience solving business problems with machine learning and data-driven optimization.
• Ability to measure model performance in terms of business impact.
• Strong SQL skills and experience with large-scale data.
• Proficiency in Python or R for model development.

Mansioni

• Investigate audit data and past outcomes to understand which claims warrant review.
• Prepare labeled datasets, develop useful features, and build models to prioritize claims.
• Evaluate model performance and turn findings into operational recommendations.
• Improve data pipelines to support dependable modeling.
• Strengthen modeling infrastructure and shared tools for scalable work.
• Collaborate with clients and internal specialists to align insights with business needs.

Conoscenze

Machine Learning

Data-driven optimization

SQL

Python or R

Descrizione del lavoro

Role overview

Build and improve machine learning models that help health plans select claims for clinical and coding audits. The role combines hands-on modeling with work on data pipelines and team tools, with a focus on making model results useful in real audit and recovery workflows.

Responsibilities

• Investigate audit data and past outcomes to understand which claims warrant review.
• Prepare labeled datasets, develop useful features, and build models to prioritize claims.
• Evaluate model performance and turn findings into operational recommendations.
• Improve complex, sometimes inconsistent data pipelines so they support dependable modeling.
• Strengthen modeling infrastructure and shared tools to help the team work at greater scale.
• Work with clients and internal specialists to align model insights with business needs.

Requirements

• Experience solving business problems with machine learning and data-driven optimization.
• Ability to measure model performance in terms of business impact.
• Strong SQL skills and experience working with large-scale data.
• Proficiency in a programming language such as Python or R.
• Experience building supervised models, including choosing labels, optimization metrics, and features; familiarity with neural networks or tree-based ensembles is relevant.

Benefits and work setup

• Remote work from anywhere in the United States.
• Medical, dental, vision, FSA/HSA, a 401(k) match, tuition reimbursement, and wellness benefits.
• Flexible paid time off and a flexible, trust-oriented work environment.
• Salary is described as level- and experience-dependent, with a stated base range of $180,000–$230,000+ and equity.