Lead Data Scientist- Remote Opportunity in the U.S.

  • GA-403, Atlanta, GA, USA
  • Employees can work remotely
  • Full-time
  • Department: Analytics
  • Role Type: Home
  • Employee Status: Regular
  • Schedule: Full Time
  • Shift: Day Shift
  • Flexible Time Off: 20 Days

Company Description

Experian is the world’s leading global information services company. During life’s big moments – from buying a home or a car, to sending a child to college, to growing a business by connecting with new customers – we empower consumers and our clients to manage their data with confidence. We help individuals to take financial control and access financial services, businesses to make smarter decisions and thrive, lenders to lend more responsibly, and organisations to prevent identity fraud and crime.

We have 20,000 people operating across 44 countries and every day we’re investing in new technologies, talented people, and innovation to help all our clients maximise every opportunity

We are very proud that FORTUNE named us one of The 100 Best Companies to Work For. In addition, for the last five years we’ve been named in the 100 “World’s Most Innovative Companies” by Forbes Magazine.

Job Description

Experian’s commercial division of Machine Learning and Advanced Analytics team is looking for a Lead Data Scientist. The candidate must have a deep understanding of ML modeling. He/she should be willing to mentor junior analysts and lead an analytical project from inception to implementation and be able to partner with technology teams to bring models to production.

  • Apply statistical analysis, machine learning techniques, predictive modeling, and data mining to solve business problems in credit, fraud, identity theft
  • Lead and execute complex modeling/machine learning projects and new product development from concept to final delivery including writing code for model deployment
  • Work cross functionally with various internal departments and/or external clients
  • Innovate, propose, and design new revenue generating products
  • Ability and willingness to document and present development results to stakeholders

Qualifications

Required

  • Masters degree in a related quantitative field (Computer Science, Math, Statistics, Engineering, Physics, Economics)
  • 5+ years of relevant working experience in a similar role, preferably involving business information, fraud, or credit data
  • Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and statistical/mathematical programming languages (e.g. Python, R, SAS). 
  • Experience with Machine learning methods such as Neural Networks, Clustering, SVM, Ensemble models, Random Forest, and Gradient Boosting
  • Excellent written, verbal, interpersonal communication, and presentation skills

Highly Preferred

  • PhD degree in a related quantitative field (Computer Science, Math, Statistics, Engineering, Physics, Economics).
  • Experience with large data using Spark, Hadoop, or similar technologies
  • Experience with Commercial fraud, consumer fraud, identity theft, or cyber security
  • Knowledge of Time Series Econometric models
  • Experience with cloud-based platforms
  • Prior people mentoring or leading experience of fellow Machine Learning and Data Science Analysts

Additional Information

All your information will be kept confidential according to EEO guidelines.

Experian is proud to be an Equal Opportunity and Affirmative Action employer. Our goal is to create a thriving, inclusive and diverse team where people love their work and love working together. We believe that diversity, equity and inclusion is essential to our purpose of creating a better tomorrow. We value the uniqueness of every individual and want you to bring your whole, authentic self to work. For us, this is The Power of YOU and it ensures that we live what we believe.

Experian U.S. employees are required to be fully vaccinated for COVID-19.

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