Equifax is a data, analytics, and technology company for automotive, fintech, healthcare, and insurance industries. The Data Scientist will ensure the Equifax Big Data environment is positioned to develop new insights leveraging Equifax's data assets and analytical tools. This role involves leading activities in big data analytics, developing Ignite Direct solutions, and ensuring data quality and governance.
Lead and execute activities to support Google Cloud Native big data & analytical tools like Python, R, Spark, Big Query, Spotfire, and Tableau
Develop and Collaborate extensively with Data, Analytics, and Technology leads to ensure the seamless consumption of insights generated from Equifax’s new big data analytical platform.
Develop and Implement Ignite Direct solutions that involves data wrangling/engineering, attribute and model execution, build customer training package, deliver customer training and support for customer success
Develop strategies, standards and best practices in the areas of machine learning, data visualization and data integration and lead adoption throughout Ignite
Ensure quality, coverage and accuracy of data in Ignite. Validate data quality content in conjunction with respective data stewards by developing reports and tools to monitor and visualize data.
Analyze new sources of data to quantify quality, uniqueness, coverage, predictiveness and overlap with Equifax sources.
Perform analysis and integrate Equifax, customer data and third party data to solve unique analytical solutions.
Stay current with rapidly developing Big Data technologies landscape and share knowledge with internally and with customers. Prototype and integrate tools into Ignite environment and lead adoption of tools through Data and Analytics.
Ensure proper use of Equifax data assets by working closely with data governance and compliance professionals.
Qualification
Required
Minimum of a Bachelor’s degree in Computer Science, Statistics, Economics, or equivalent quantitative field with heavy emphasis on programming required.
Minimum 2 years of experience strong experience in data sciences, statistical modeling, data management, keying and linking, data handling and data wrangling.
Strong data analysis skills including skills to rapidly learn new data assets within the financial services or FinTech industry.
Database and Data Analysis technology skills and experience required: SAS, R, Python, Scala, SPARK, SQL, Hadoop, HIVE, Impala.
Experience and knowledge of Data Visualization concepts.
Excellent communication skills to lead training and adoption of new tools and technologies.
Strong analytical skills for effective problem solving.
Excellent collaboration skills with proactive approach to sharing knowledge with peers and cross functional teams.
Creative and nimble with ability to overcome obstacles to solve the hardest problems.
Flexible and responsive with ability to adapt to rapid change in direction or business priority.
Limited domestic and international travel is possible.
Consistent with Equifax’s 3/2+2 flexible work framework, a willingness to work Tuesday, Wednesday, Thursday in Equifax’s Atlanta-based office.
Position does not offer immigration sponsorship or support, including F-1 STEM OPT extension support.
Preferred
Knowledge of Equifax’s differentiated data assets and technology delivery platforms or equivalent industry experience is a plus.
Java, H2O, Machine Learning, Deep Learning is a plus.
Experience with tools such as Tibco Spotfire or Tableau is a plus.
Experience with GCP.
Benefit
Equifax is a data, analytics, and technology company for automotive, fintech, healthcare, and insurance industries.
