At Equifax, we believe knowledge drives progress. As a global data, analytics and technology company, we play an essential role in the global economy by helping employers, employees, financial institutions and government agencies make critical decisions with greater confidence.
We work to help create seamless and positive experiences during life’s pivotal moments : applying for jobs or a mortgage, financing an education or buying a car.
Our impact is real and to accomplish our goals we focus on nurturing our people for career advancement and their learning and development, supporting our next generation of leaders, maintaining an inclusive and diverse work environment, and regularly engaging and recognizing our employees.
Regardless of location or role, the individual and collective work of our employees makes a difference and we are looking for talented team players to join us as we help people live their financial best.
The Perks of being an Equifax Employee?
We offer comprehensive compensation and healthcare packages, on-site doctor, paramedics service 24 / 7, life insurance, gym facilities, collaborative work spaces, free transportation and parking, subsidized cafeteria, solidarity association and organizational growth potential through our online learning platform with guided career tracks.
What You’ll Do
Conduct big data analytics and builds solutions for difficult and large data and business problems under management guidance
Develop processes and tools to monitor and analyze model performance and data accuracy
Lead the analytical design for complex problem solution, taking input from others
Lead the development projects with multiple data science deliverables leveraging business and technical expertise
Contributes to code repository and improves the coding of others
Bachelor’s Degree in Statistics, Mathematics, Computer Science or another quantitative field
4+ years of experience in statistical and data mining techniques : GLM / Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
4 + experience creating and using advanced Machine Learning algorithms and statistics : regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks.
3+ years of experience coding with several programming languages : Python, Java, Scala, R
3+ years of experience with distributed data / computing tools : Map / Reduce, Hadoop, Hive, Spark
Extra Points for any of the Following
Experience in ML applications for Document Understanding
Experience and understanding of Google Cloud BigData tools : PubSub, DataFlow, BigQuery
Master’s in Statistics, Mathematics, Computer Science or another quantitative field
Success Attributes of an Equifax employee; does this describe you?
Think and act differently
Team Player, Adaptable, Proactive.