Principal Data Scientist - Identity and Matching Models

📋 Description

• Develop identity and record-matching models: Design, train, test, and deploy models that determine
• Establish robust evaluation frameworks: Develop labeling strategies, build evaluation datasets
• Leverage AI-assisted labeling: Use AI models to support large-scale data labeling while validating
• Deploy and maintain production models: Collaborate with machine learning engineering and DevOps
• Monitor data and model quality: Review data pipelines and model outputs before release, identify
• Drive product impact: Partner with product owners to translate analytical findings into clearly

🎯 Requirements

• Applied data science experience: At least 6 years of experience in applied data science, with
• Educational background: A bachelor's degree in a quantitative discipline is expected, while a
• End-to-end machine learning delivery: Experience taking models from initial research through
• Technical proficiency: Strong Python and SQL skills, along with experience using Spark or similar
• Cloud and ML tooling: Practical experience with AWS SageMaker, Databricks, MLflow, or comparable
• Model evaluation expertise: Ability to assess model quality when reliable ground-truth labels are

🎁 Benefits

• Competitive annual salary: $166,500–$216,000, depending on factors such as experience, skills, job
• Annual bonus program: Eligibility to participate in an annual bonus program.
• Equity opportunities: Stock options.
• Retirement savings: 401(k) matching.
• Healthcare coverage: 100% coverage for medical, dental, and vision insurance.
• Flexible paid time off: Unlimited PTO.