Data Scientist - Career

Equifax

Hybrid

Quick summary

Work type
Hybrid
Location
Alpharetta, GAAtlanta
Posted
7 days ago

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Salary context

How this pay compares to similar roles

Similar $154k
$89k most similar roles pay here $193k

This listing doesn't post a salary. Most similar roles pay $126,800–$181,855.

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 26 open roles on FindRole.

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At a glance

TL;DR · Data Scientist - Career

Equifax's Enterprise Innovation Office is hiring a senior-level Data Scientist to join their dynamic Data Science Lab team in Alpharetta, GA or Midtown Atlanta. This role involves integrating diverse big data assets into analytical solutions to address complex business challenges. Day-to-day responsibilities include preparing datasets, developing deployable models, and visualizing results for stakeholders. The ideal candidate will have a Master’s degree (PhD preferred) with 5-7 years of experience in predictive analytics, proficiency in Python, TensorFlow, SQL, Spark, and data manipulation libraries like Pandas and Dask, and strong problem-solving skills. Additional desirable qualifications include expertise in large-scale data processing, big data platforms such as Google Cloud or AWS, NLP, LLMs, and agile development methodologies. This role demands a deep understanding of AI/Machine Learning, distributed algorithms, and cloud technology to drive innovation within the financial services sector.

What you'll do

  • Utilize data structures and analytics to prepare datasets and develop deployable solutions independently.
  • Analyze complex data sources, engineer new features, and manage data storage in analytical environments.
  • Design and package analytical findings with guidance from management for business users.
  • Develop and understand the performance implications of complex models and algorithms.
  • Contribute to knowledge sharing sessions with broader data science teams or departments.

What we're looking for

  • Master’s degree (PhD preferred) in Mathematics, Statistics, Data Science, or related quantitative field.
  • 5-7 years of experience applying predictive analytics to solve business problems.
  • Proficiency in Python, TensorFlow, SQL, Spark, and data manipulation libraries like Pandas and Dask.
  • Strong theoretical and practical understanding of algorithm complexity for developing efficient solutions.
  • Excellent problem-solving skills with the ability to deliver results in a fast-paced environment.

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