Senior Data Scientist

Insight Global; Arlington (VA); On-site; USD 130,000 - 190,000; Full time

Job summary

Insight Global in Arlington, VA is seeking a Senior Data Scientist to lead end-to-end data science initiatives within the Data & Analytics team. You will transform complex healthcare data into actionable insights, predictive models, and AI-driven solutions.

This hands-on role bridges data engineering, analytics, ML, and production deployment, requiring collaboration with business stakeholders and engineers to deliver scalable data pipelines, model monitoring, and data quality frameworks in

Qualifications

• Master's degree or higher in a quantitative field.
• 5+ years of professional Data Science experience.
• Strong experience with Python and SQL.
• Experience building and deploying end-to-end ML solutions.
• Experience working with healthcare datasets.
• Experience with cloud platforms and ML deployment.
• PhD preferred.

Responsibilities

• Lead end-to-end data science projects from data acquisition through deployment.
• Build scalable data pipelines and datasets for analytics and ML.
• Develop predictive models and analytics solutions.
• Design model monitoring, validation, and performance frameworks.
• Establish data quality standards and QA processes.
• Collaborate with stakeholders to translate business challenges into analytical solutions.
• Leverage AI/LLMs to develop intelligent workflows.
• Present findings to technical and non-technical audiences.
• Mentor team members and promote best practices.

Skills

Python

SQL

ML/AI techniques

Healthcare data

Data pipelines

Cloud platforms

MLOps

Model monitoring

Communication

Education

Master's degree or higher in Data Science / related field

PhD in a related quantitative field

Tools

BigQuery

GCP

MLOps tools

Docker

Job description

Job Description

Summary

We are seeking a Senior Data Scientist to join a growing Data & Analytics team. This individual will lead end-to-end data science initiatives, partnering with business and technical stakeholders to transform complex healthcare data into actionable insights, predictive models, and AI-driven solutions.

This is a hands‑on role for someone who can move seamlessly between data engineering, analytics, machine learning, and production deployment. The ideal candidate is comfortable working with large-scale healthcare datasets, building scalable data pipelines, developing and monitoring models, and ensuring the quality and reliability of data science solutions in production environments.

Responsibilities

• Lead end-to-end data science projects from data acquisition and exploration through deployment and ongoing optimization.
• Build and maintain scalable data pipelines and datasets for analytics, machine learning, and AI use cases.
• Develop predictive models and advanced analytics solutions using statistical and machine learning techniques.
• Design and implement model monitoring, validation, and performance measurement frameworks.
• Establish data quality standards, testing strategies, and QA processes for data science deliverables.
• Partner with business stakeholders, product teams, and engineers to translate business challenges into analytical solutions.
• Leverage modern AI and LLM technologies to develop intelligent workflows and accelerate business outcomes.
• Present findings and recommendations to both technical and non-technical audiences.
• Mentor team members and promote data science best practices across the organization.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances.

To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Skills and Requirements

• Master's degree or higher in Data Science, Computer Science, Statistics, Applied Mathematics, Public Health, or a related quantitative field.
• 5+ years of professional Data Science experience.
• Strong experience with Python and SQL.
• Experience building and deploying end-to-end machine learning solutions.
• Experience working with large-scale healthcare datasets.
• Background in healthcare claims, pharmacy, prior authorization, or related healthcare data domains.
• Experience with model validation, monitoring, and data quality frameworks.
• Ability to communicate complex analytical concepts to technical and business stakeholders.
• Experience with Google Cloud Platform (GCP), BigQuery, or other cloud-based analytics platforms.
• Experience with MLOps, model deployment, and production support.
• Experience with AI, Large Language Models (LLMs), agentic workflows, or generative AI solutions.
• PhD in a related quantitative field.
• Experience working with highly regulated or healthcare-focused data environments.