Principal Data Scientist - Identity and Matching Models

Location: Fully remote within the United States; hiring is available in AZ, CA, CO, FL, GA, KY, MD, MI, MO, NJ, NV, NC, PA, SC, SD, TX, VA, WA, and WY.

Salary: $166,500–$216,000 per year

Company

hirify.global is a people intelligence platform that helps individuals reconnect and helps businesses research customers, verify information, and prevent fraud using public records.

What you will do

• Build, evaluate, improve, and ship identity-resolution and record-matching models.
• Design labels, evaluation sets, sampling strategies, and measurement approaches when no complete answer key exists.
• Use AI models to support labeling at scale and validate results against human judgment.
• Deploy models to AWS with ML engineering and DevOps, including retraining schedules, model registry, and data lineage.
• Review data builds, identify regressions, and communicate findings, limitations, and tradeoffs to product and sales partners.
• Document methods, review code, mentor teammates, and participate in the DS/ML working group.

Requirements

• 6+ years of applied data science experience, or equivalent professional experience.
• Bachelor’s degree in a quantitative field or equivalent professional experience; a master’s degree is preferred.
• Experience taking models from concept to production in a cloud environment and monitoring post-launch performance.
• Experience processing datasets of 100 million or more rows with Spark or a similar tool, using Python and SQL.
• Ability to evaluate models without clean labels, distinguish real improvements from noise, and explain results and tradeoffs clearly.
• Must be eligible to work remotely from one of the listed US states and handle personal data in accordance with opt-out, retention, and lineage rules.

Nice to have

• Experience with record matching or deduplication, AI-assisted data labeling, graph methods, or converting model scores into actionable confidence measures.

Culture & Benefits

• Remote-first work environment with an average team tenure of 6.9 years.
• Annual bonus program and stock options.
• 401(k) matching and 100% medical, dental, and vision coverage.
• Unlimited paid time off and mental health resources.
• Paid home office equipment, fitness reimbursements, and course support.
• Values include empathy, data-informed decisions, experimentation, collaboration, and quality.

Hiring process

• Successful candidates receive a written offer after completing the selection process.
• Artificial intelligence-enabled tools may assist with reviewing application and interview materials, while employment decisions are made by people.