Senior Data Scientist

Equifax

Quick summary

Work type: On-site
Location: Atlanta, GA · Georgia
Posted: 2 days ago
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $159k

$96k most similar roles pay here $233k

This listing doesn't post a salary. Most similar roles pay $126,800–$190,387.

Based on 240 similar postings.

Employer

About Equifax

Equifax is a global data, analytics, and technology company and one of the "Big Three" credit reporting agencies, specializing in consumer and commercial credit information.

Equifax currently has 24 open roles on FindRole.

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At a glance

TL;DR · Senior Data Scientist

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Equifax seeks a Sr. Statistical Consultant/Sr. Data Scientist to join its Global Identity and Fraud Analytics team, where you will collaborate with stakeholders across industries like Financial Services, Telecommunications, and eCommerce to develop innovative modeling solutions for complex business challenges. Your daily tasks include manipulating large datasets, integrating diverse data sources, developing analytical approaches, and presenting findings to both internal teams and clients. You will also work closely with software developers to ensure the quality of end-to-end deliverables while staying updated on cutting-edge machine learning techniques. Ideal candidates hold a Master’s degree in Mathematics or related fields, have 3+ years of professional experience, and proficiency in Python, R, and SQL for data mining and modeling projects. Experience in advanced feature engineering and deep neural networks is preferred.

Skills

Python R SQL Bayesian methods random forest gradient boosting neural networks support vector machine clustering deep neural networks boosting algorithms feature engineering data dimension reduction

What you'll do

Develop new modeling solutions for industry problems across various sectors.
Manipulate large datasets and integrate diverse data sources into analytical solutions.
Translate business requirements into use cases, test cases, and training datasets.
Research and apply advanced predictive modeling techniques to specific solutions.
Present results and recommendations to both internal teams and external clients.

What we're looking for

Master’s degree or higher in Mathematics, Computer Science, Engineering, Statistics, or related field.
Minimum 3 years of professional experience in quantitative analytics with hands-on projects using advanced statistical models.
Proficiency in Python, R, and SQL for data mining and modeling.
Experience working on complex analytical solutions across industries like financial services, telecommunications, and healthcare.
Strong consultative skills to work effectively with stakeholders and cross-functional teams.
Knowledge of state-of-the-art machine learning algorithms including deep neural networks and support vector machines.

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