Principal Data Scientist – Identity and Matching Models

🕒 October 14

🌵 Arizona, California, +16 more states – Remote

🌵 Arizona – Remote 🏄 California – Remote ⛰️ Colorado – Remote 🐊 Florida – Remote 🐎 Kentucky – Remote 🎰 Nevada – Remote 🏖️ New Jersey – Remote 🌲 North Carolina – Remote 🦀 Maryland – Remote 🚗 Michigan – Remote 🏰 Missouri – Remote 🔔 Pennsylvania – Remote 🌴 South Carolina – Remote 🗿 South Dakota – Remote 🤠 Texas – Remote ⚔️ Virginia – Remote ☕ Washington – Remote 🦬 Wyoming – Remote

💵 $166.5k - $216k / year

⏰ Full Time

🔴 Lead

📊 Data Scientist

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Spokeo

WebsiteLinkedInAll Job Openings

51 - 200 employees

👥 B2C

☁️ SaaS

🔌 API

B2C • SaaS • API

<Spokeo> is a people-search and data aggregation service that lets users search by name, phone, email, or address to find contact information, location history, social profiles, property records, court records, and other public records. It combines billions of records from consumer and industry sources into concise, easy-to-read reports, offers account-based report updates, enterprise search capabilities, and an API for integration. Spokeo is positioned for individual consumers seeking to reconnect, identify callers, or verify sellers, while also offering paid services and tools for businesses; it states it is not an FCRA consumer reporting agency.

📋 Description

• Build and improve models that match records and score confidence in each result • Design labels and measurement approaches, including evaluation sets and hand-checking processes • Use AI models to help label data at scale and compare results against human judgment • Take models to production on AWS with ML engineering and DevOps • Manage retraining schedules, the model registry, and model/data lineage records • Review each data build before release, identify changes and regressions, and explain findings to product and sales partners • Work with the Product Owner to turn findings into stories with clear targets and prioritize research spikes • Document methods, review teammates' code, and participate in the DS/ML working group • Mentor a growing data science team

🎯 Requirements

• 6+ years of applied data science • Bachelor's degree in a quantitative field is expected, or equivalent professional experience • Master's degree preferred • Experience taking a model from idea to production in a cloud setting such as AWS SageMaker, Databricks, MLflow, or similar • Experience monitoring models and measuring performance after launch • Experience working with very large datasets (100 million rows or more) using Spark or a similar tool, Python, and SQL • Experience evaluating models when no clean answer key exists, including sampling and hand-checking results • Ability to distinguish real improvement from noise and explain results, limitations, and tradeoffs in plain language • Experience maintaining models as data changes, including refreshing outdated labels and models and documenting processes • Experience handling personal data responsibly and following opt-out, retention, and lineage rules • Experience with record matching or deduplication, AI-assisted data labeling, graph methods, or converting raw model scores into actionable confidence is a plus • Ability to work in one of the eligible US states: AZ, CA, CO, FL, GA, KY, MD, MI, MO, NJ, NV, NC, PA, SC, SD, TX, VA, WA, or WY

🏖️ Benefits

• annual bonus program • stock options • 401K matching • 100% medical/dental/vision coverage • unlimited PTO • mental health resources • paid home office equipment • fitness reimbursements • support paying for courses

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