Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realise their financial goals and help them save time and money.
We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments.
We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com
Job DescriptionEmployer: Experian Information Solutions, Inc.
Job Title: Data Science Analyst II
Job Location: 475 Anton Blvd., Costa Mesa, CA 92626
Perform analysis on existing statistical/predictive models and explain analysis results to internal business teams and external clients; Perform ETL (Extract, Transform and Load) on modeling data; Perform fraud analysis, create new features for modeling; Create and implement machine learning models to detect fraud; Developing tools for data processing and model building; Collaborate with technology and other business teams; Data visualization of model performance metrics; Continual learning of new technologies and data science. May telecommute.
QualificationsEmployer will accept a Master's degree in Statistics, Mathematics, Data Science, Computer Science or related field. Position requires experience in the following:
- Experience with Python scripting to create model building tools, generate model performance metrics and data mining.
- Experience with cloud tools, e.g. PySpark, to analyze big bureau data on the cloud.
- Experience evaluating and interpreting data from a statistical perspective with ELT ( extract, load, transform) tools such as open source Python/Pyspark tools and fraud analysis tools such as bivariate analysis.
- Experience with predictive modeling techniques, including feature engineering, feature reduction, machine learning algorithms
- Experience with presenting model performance and statistical findings to an audience who is not familiar with statistical modeling.
Pay range for this role is $97,375.00-$120,560.00, with actual pay based on work location, job-related skills, experience and education. Role incl. variable pay and comprehensive benefits. To apply please go to https://www.experian.com/careers/ and search requisition number REF24679B
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What We Do
Experian unlocks the power of data to create opportunities for consumers, businesses and society.
During life’s big moments – from buying a home or car, to sending a child to college, to growing a business exponentially by connecting it with new customers – we empower consumers and our clients to manage data with confidence so they can maximize every opportunity.
We gather, analyse and process data in ways others can’t. We help individuals take financial control and access financial services, businesses make smarter decision and thrive, lenders lend more responsibly, and organizations prevent identity fraud and crime.
For more than 125 years, we’ve helped consumers and clients prosper, and economies and communities flourish – and we’re not done.
Our 20,600 people in 43 countries believe the possibilities for you, and our world, are growing. We’re investing in new technologies, talented people and innovation so we can help create a better tomorrow.
About Experian:
Bringing data to life requires creativity, passion, flexibility and expertise.
We want you to share in our success. That's why we offer rewards that recognise great performance.
Working in a culture of collaboration, achievement and respect we will give you the support and encouragement you need to develop your skills and talents and progress your career.
Everyday our people bring enthusiasm, innovation and inspiration to work and if this sounds like you connect with us at Experian.
