Sr. Data Scientist

Description / Position Overview

This is a key position for our client to help create data-driven technology solutions that will position us as the industry leader in healthcare, financial, and clinical administration. This hands-on Lead Data Scientist role will focus on building and implementing machine learning models and predictive analytics solutions that will drive the new wave of AI-powered innovation in healthcare. You will be the lead data science technologist responsible for developing and implementing a multitude of ML/AI products from concept to production, helping us gain a competitive advantage in the market.

Alongside our Director of Data Science, you will work at the intersection of healthcare, finance, and cutting-edge data science to solve some of the industry's most complex challenges.

This is a greenfield opportunity within VHT’s Product Transformation division, where you'll build groundbreaking machine learning capabilities from the ground up. You'll have the chance to shape the future of VHT’s data science & analytics foundation while working with cutting-edge tools and methodologies in a collaborative, innovation-driven environment.

Key Responsibilities

As the Lead Data Scientist, your role will require you to work closely with subject matter experts in clinical and financial administration across practices, health systems, hospitals, and payors. Your machine learning projects will span the entire healthcare revenue cycle - from clinical encounters through financial transaction completion, extending into back-office operations and payer interactions.

You will lead the development of predictive machine learning models for Revenue Cycle Management analytics, along the lines of:

Payer Propensity Modeling

Claim Denials Prediction

Payment Amount Prediction

Cash Flow Forecasting

Patient-Related Models

Claim Processing Time Prediction

Additionally, we will work on emerging areas and integration opportunities—for example, denial prediction + appeal success probability or prior authorization prediction + approval likelihood models.

You will reimagine how providers, patients, and payors interact within the healthcare ecosystem through intelligent automation and predictive insights, ensuring that providers can focus on delivering the highest quality patient care.

VHT Technical Environment

Cloud Platform

Development Tools

Programming

ML/AI Stack

Data Processing

Visualization

Required Qualifications

Advanced degree

5+ years of hands-on data science experience

Expert-level proficiency in SQL and Python

Cloud platform experience,

Strong statistical modeling and machine learning expertise

• Experience with model deployment, monitoring, and MLOps practices

Excellent communication skills

Preferred Qualifications

US Healthcare industry experience

• Experience with healthcare data standards (HL7, FHIR, X12 EDI)

• Knowledge of healthcare regulations (HIPAA, compliance requirements)

• Experience with deep learning frameworks (TensorFlow, PyTorch)

• Familiarity with real-time streaming data processing

• Previous leadership or mentoring experience