Principal Data Scientist – Content Ranking

Vivian Health

89d • $220,000 - $250,000

About The Position

Vivian Health’s mission is to transform healthcare hiring by empowering every healthcare professional to find their perfect job faster and easier than ever before. As the largest healthcare jobs marketplace, we support over 2 million clinicians in finding their next career opportunities. Our AI-driven platform also enhances process efficiencies for staffing agencies and healthcare employers, significantly reducing time to hire. Our machine learning models are already serving real-time ranking decisions for hundreds of thousands of nurses every week, powering the way clinicians discover opportunities on Vivian. This is not a research-only role, we’re looking for someone who is excited to design, deploy, and optimize ML inference systems at scale. If your experience goes beyond ideation in Jupyter notebooks and into production-grade ML systems serving millions of requests, this role is for you.

Requirements

• 8+ years of professional experience in applied machine learning or data science, with 3+ years in consumer-scale applications
• Strong proficiency in Python and SQL
• Experience with SageMaker, Airflow, and DBT (or equivalent ML/data orchestration platforms)
• Proven track record of training, deploying, and scaling models in production environments
• Deep understanding of statistical methods for experimental design and A/B testing
• Experience with real-time inference pipelines and ranking/recommendation systems
• Ability to distill complex technical insights into clear business recommendations
• Excellent collaboration skills across product, engineering, and operations

Responsibilities

• Build, train, and deploy large-scale machine learning models for real-time content ranking in production
• Design and engineer feature pipelines that capture complex user and content signals
• Partner with product and engineering to translate business objectives into ML models that drive measurable outcomes
• Lead rigorous A/B testing and experiment design, ensuring sound statistical inference and actionable insights
• Drive innovation by ideating and prototyping new modeling techniques and features
• Collaborate with the data engineering team to scale data pipelines with Airflow, DBT, and AWS SageMaker
• Provide technical leadership and mentorship to other data scientists and engineers
• Balance trade-offs between rule-based systems and machine-learned approaches, aligning with both product goals and user experience

Benefits

• Flexible Time Off
• Comprehensive Health Insurance Plans, including HSA and FSA Options
• 401K Retirement Savings Plan with Generous Employer Match
• Generous Parental Leave
• Work-from-home stipend
• Access to Corporate Discount Program
• Pet Insurance

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Number of Employees: 101-250 employees