Data Scientist - Career

Equifax is where you can power your possible. If you want to achieve your true potential, chart new paths, develop new skills, collaborate with bright minds,  and make a meaningful impact, we want to hear from you.

Job Summary 

Equifax Enterprise Innovation Office is seeking a Data Scientist who can integrate diverse big data assets into analytical solutions under management guidance to solve difficult business problems. With a strong heritage of innovation and leadership, we leverage our unique data, advanced analytics and proprietary technology to enrich the performance of businesses and the lives of consumers.

Qualified candidates will have a passion for mathematics, statistics, AI/Machine learning, data gathering, and experience in financial modeling. The ideal candidate will combine the skills to create new prototypes with the creativity and thoroughness to ask and answer the deepest questions about the data, and to push the boundaries of what is possible with big data analytics/modeling.  The ideal candidate will be passionate about exploring why and how models/techniques work and has a deep desire to explain the unexplainable.

Equifax has a hybrid work schedule that allows for two days of remote work (Monday and Friday) with 3 days onsite (Tuesday thru Thursday) every week.

This role reports to our office Alpharetta, GA or our Midtown (OAC, Atlanta) office.

This position does not offer immigration sponsorship (current or future) including F-1 STEM OPT extension support.

This is a direct-hire role and is not open to C2C or vendors.

What You’ll Do: 

- Be an integral part of the Data Science Lab team that works closely with internal clients in all phases of prototype development and deployment
- Utilize combined knowledge of data structures, analytics, algorithms/models, and strong computer science fundamentals to independently prepare datasets, conduct analytics, and develop deployable solutions
- Work on high complexity tasks in problems often within multiple business or analytical domains. Lead the development or projects with multiple deliverables leveraging business and technical expertise
- Able to analyze and prepare complex and new data sources and incorporate them into analytical solutions. Engineer new features for use in solutions. Manage data storage in an analytical environment 
- Design code and solutions with guidance from management. Contributes to standard code repository, applies efficient coding best practices and improves the coding of others
- Develop complex models and algorithms, understand performance and business implications of models
- Package, summarize, visualize and perform storytelling on analytical findings and results for management and business users
- Contribute to knowledge sharing sessions with the broader data science teams or departments
- Remain current on new developments in AI/Machine Learning, distributed algorithms, Big Data, Predictive Analytics, and Cloud Technology

What experience you'll Need:

- Master’s degree or higher in Mathematics, Statistics, Data Science, Physics, Computer Science, Operations Research, Economics, Engineering or related quantitative field, PhD preferred
- 5-7 years experience applying predictive analytics and modeling to solve business problems
- Experience with Python, Tensorflow, SQL (strong skills and scripting experience), and Spark with advanced experience in data manipulation libraries (e.g., Pandas, Dask, Spark DataFrames)  
- Theoretical and practical understanding of algorithm time and space complexity, and a proven ability to apply this knowledge to develop efficient and scalable data science solutions
- Excellent problem-solving skills, with the ability to navigate ambiguity and deliver results in a fast-paced environment  

What could set you apart: 

- Experience of evaluating the technical work of peer data scientists 
- Experience with large-scale data processing in distributed environments
- Strong communication skills of analytical results to technical and non-technical audiences alike
- Experience working on big data platforms (e.g., Google Cloud, AWS, Snowflake, Hadoop) a plus
- Experience with NLP (Natural Language Processing), LLMs (Large Language Models) and/or Generative AI 
- Agile development including Scrum
- Ph.D. degree in mathematics, statistics, computer science, or related quantitative field

We offer comprehensive compensation and healthcare packages, 401k matching, paid time off, and organizational growth potential through our online learning platform with guided career tracks.

Are you ready to power your possible?  Apply today, and get started on a path toward an exciting new career at Equifax, where you can make a difference!

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