Senior Data Scientist — Healthcare Analytics, Remote-Eligible

Quest Analytics; United States; Hybrid; USD 140,000 - 190,000; Full time

Benefits offered by this job

Workplace flexibility

Competitive salary

401k Matching

Wellness benefits

Job summary

Quest Analytics is seeking a Senior Data Scientist to design, deploy, and scale ML and AI-driven insights for healthcare provider networks. You will work with cross-functional teams to turn complex data into scalable products and actionable strategies.

You will mentor peers, advance data governance and MLOps practices, and explore generative AI applications to drive product innovation and business impact.

Qualifications

• Master's degree or equivalent data science experience.
• Proven production ML deployment experience.
• Experience with large, messy healthcare-like data.

Responsibilities

• Design, develop, and scale ML models and analytics to improve provider data quality.
• Apply predictive analytics and ML techniques to business problems.
• Research healthcare data challenges and develop action plans.
• Productionize models with engineering for scalable solutions.
• Monitor models with data validation and feature engineering.
• Collaborate across Data, Product, Engineering, and Client teams.
• Translate findings into clear business insights for stakeholders.
• Present findings to leadership and cross-functional audiences.
• Explore generative AI opportunities and use LLM tools to accelerate analysis.

Skills

Strong collaboration

Mentoring others

Communication of complex findings

Problem-solving

Education

Master's degree in Data Science / CS / Stats

Tools

Python

Databricks

Spark

SQL

TensorFlow

PyTorch

scikit-learn

pandas

NumPy

Job description

Quest Analytics is seeking a Senior Data Scientist to design, deploy, and scale ML and AI-driven insights for healthcare provider networks. You will work with cross-functional teams to turn complex data into scalable products and actionable strategies.

You will mentor peers, advance data governance and MLOps practices, and explore generative AI applications to drive product innovation and business impact.