Data Scientist

Equifax

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Hybrid

Quick summary

Work type
Hybrid
Location
Alpharetta, GA
Employment
Full-time
Posted
1 day ago
Freshness
Confirmed live today
Nearby
99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $162k
$96k most similar roles pay here $231k

This listing doesn't post a salary. Most similar roles pay $126,800–$197,250.

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 19 open roles on FindRole.

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At a glance

TL;DR · Data Scientist

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Data Scientist will join the Entity Resolution/Keying & Linking team within Global Data & Analytics to manipulate large datasets and integrate diverse data sources into cohesive solutions. The role involves developing analytical approaches, conducting proof of concepts, and exploring AI methodologies for the Entity Resolution System by translating requests into use cases and preparing training data sets. Key responsibilities include building reliable data prototypes, performing A/B testing on algorithms, and creating predictive models for risk assessment and fraud detection. The candidate will utilize a core tech stack including Python, SQL, and Git while working within Google Cloud Platform environments involving BigQuery, BigTable, and Dataflow. This position focuses on the technical challenge of entity resolution and identity matching by transforming structured and unstructured data into optimized models to solve complex problems across multiple business domains.

What does a Data Scientist earn?

Median $162000 from 278 postings across 59 companies.

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Skills

Python SQL Google Cloud Platform GCP BigQuery PySpark Scala Git Machine Learning Data Modeling CI/CD A/B Testing Data Engineering BigTable Dataflow Algorithms Data Structures

What you'll do

  • Manipulate large datasets and integrate diverse data sources into cohesive analytical solutions.
  • Develop analytical approaches and AI methodologies to meet specific business requirements for entity resolution.
  • Prepare training datasets, conduct A/B testing, and perform iterative algorithm development.
  • Build reliable data prototypes and identify patterns within complex, multi-domain data structures.
  • Package, summarize, and visualize analytical findings for management review.
  • Implement Google Cloud Platform (GCP) technologies to optimize and automate workflows.
  • Evaluate the work of peer or junior data scientists to ensure high-quality technical solutions.

What we're looking for

  • Bachelor's degree in a STEM major.
  • Master's degree or higher in Mathematics, Computer Science, Engineering, Operations Research, Statistics, or related disciplines (preferred).
  • 2-5 years of experience in a related analytical role including predictive model design and development.
  • Strong proficiency in Python and SQL with practical experience writing utility scripts.
  • Competent understanding of cloud computing concepts and experience with Google Cloud Platform (GCP) or similar environments.
  • Experience transforming structured/unstructured data into optimized models and managing version control with Git.
  • Cloud certification (preferred).
  • Knowledge of Data Engineering, BigQuery, PySpark, DevOps, or credit/financial data products (preferred).

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