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Equifax is looking to hire a Data Scientist / Data Steward to join our growing Data and Analytics Team. This is a hybrid role that will is a newly created role due to growth and doing a mix of data scientist and data steward work with creating models, machine learning, AI and data analysis.

This role will work within a team of Data Stewards who serve as experts for the data sources to ensure the appropriate data quality, metadata management and internal and external support are all in accordance with our service level agreements.

We're seeking people how are courageous, tenacious, creative, curious, optimistic and have an appetite for growth in business minded leadership. This role will be located either in our Atlanta or Alpharetta, Georgia office and requires being in the office 3 days/week Tuesdays - Thursdays and remote on Mondays and Fridays.

What you'll do Work closely with internal clients in all phases of prototype development and deployment .Integrate diverse data sources, data types and data structures into solutions Develop analytical approaches to meet business requirements; this involves translating requests into use cases, test cases, preparation of training data sets and iterative product development. Research innovative data solutions (in distributed cloud computing constrained and unconstrained optimization) to solve real market problems. Deploy innovations, including AI/ML techniques, for predictive analytics Mine Big Data and other unstructured data to tap untouched data sources and deliver insight into new and emerging solutions. Expand our industry leading AI/ML patent portfolio on Explainable AI. Invent and integrate data and model visualizations for big data machine learning models. Develop and implement NLP solutions for keying and linking. Work with key stakeholders and understand their needs to develop advanced solutions or improve existing solutions around big data and advanced analytics. Remain current on new developments in AI/Machine Learning, distributed algorithms, Big Data, Predictive Analytics, and Cloud Technology. Quality Monitoring: Own the development of automated, threshold-based reports that efficiently and reliably identify areas for further investigation and improvement. Act on the findings of these reports in a timely manner, prioritizing effort based on business impact. Continuous Improvement: Work with an evergreen roadmap of initiatives, powered by work in Quality Monitoring and Customer Engagement, helping to drive these projects to completion. Governance: Deliver on the consistent application of data custodianship, data usage and other internal control processes implemented across Equifax to ensure compliance and privacy policies and standards are met. Be an ambassador for our data assets and encourage data awareness which can assist with new opportunities and points of synergy.

What experience you need Bachelor's degree or higher Mathematics, Statistics, Data Science, Physics, Computer Science, Operations Research, Economics, Engineering or related quantitative field 3 years' experience applying predictive analytics and modeling to solve complex business problems 3 years of analysis experience with business/company information is a plus 3 years of experience with data handling/quality tools and Big Data ecosystems i.e. SQL, Google Cloud Platform, BigQuery. Strong SQL skills required. 3 years of experience with data and business insights analysis which identify and drive ongoing excellence in data quality practices 3 years of experience with Python, Tensorflow, and Spark Any experience or academic degree coursework with machine learning and artificial intelligence 3 years of experience in developing AI/ML models using Matlab, Python, Scala/Spark, or SAS

What could set you apart Strong communication skills of analytical results to technical and non-technical audiences alike Strong aptitude and proven ability to develop data-driven solutions to meet business objectives 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 A strong sense of governance protocols, the need to respect highly sensitive data and proactive attention to regulatory, security and compliance driven policies Demonstrates leadership with cross-functional efforts; develops effective working relationships with peers, managers, and senior management within and across organizational lines The ability to manage multiple high-impact projects at the same time Creativity and drive, coupled with a desire to grow in thought leadership, initiative and strategic thinking

Equal Opportunity Employer - minorities/females/veterans/individuals with disabilities/sexual orientation/gender identity