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Senior Data Scientist - Phone Number Data Analytics

About Us

Our company specializes in comprehensive phone number services, performing large-scale lookups for aggregators and providing phone number verification for fraud prevention and digital identity services. We generate extensive datasets on number activity, status history, and verification patterns that hold significant untapped analytical value.

Position Overview

We're seeking a Senior Data Scientist to transform our vast phone numbering data into actionable intelligence. You'll develop sophisticated models to identify patterns in number behavior, assess trust metrics based on historical attributes, and create risk profiles based on lookup frequency together with multiple attributes of phone numbers.

Key Responsibilities

• Design and implement data models to identify suspicious patterns in phone number activity


• Work closely with product managers, engineers, and other stakeholders to translate business requirements into actionable data solutions.


• Develop trust scoring systems for numbers based on attribute history, lookup frequency, and verification results


• Evaluate and integrate alternative datasets to augment our existing phone number data


• Create predictive analytics capabilities to identify potential fraud risks


• Collaborate with engineering teams to operationalize analytics models


• Drive regular reporting on data insights that create business value


• Identify new potential data products based on our unique dataset

Required Qualifications

• Master's degree or PhD in Data Science, Statistics, Computer Science, or related field


• 5+ years experience in data science with focus on large-scale data analytics


• Strong proficiency in Python, R, SQL, and data visualization tools


• Experience with big data technologies


• Proven track record developing machine learning models at scale


• Expertise in anomaly detection and pattern recognition algorithms


• Demonstrated ability to identify, evaluate and integrate external datasets to enhance existing data assets

Preferred Qualifications

• Experience building risk scoring or trust models


• Knowledge of phone number attributes and verification systems


• Experience with fraud detection or identity verification systems


• Background in time-series analysis and behavioral modeling


• Familiarity with metadata analysis for digital identity applications


• Experience developing production-grade data products

What We Offer

• Opportunity to work with uniquely valuable proprietary datasets


• Chance to develop innovative solutions with direct business impact


• Collaborative team environment with talented engineers


• Competitive salary and benefits package


• Professional development opportunities