Data Scientist

Company Description

We are currently seeking a highly innovative, passionate, and talented individual to drive innovation through Global Identity & Fraud, technology and analytics with an emphasis on accelerating new product development. This role is part of a small visionary solutions-oriented group developing and executing projects at the point where emerging data science and technology trends meet consumer and client needs, products, and services.

We are looking for a versatile and experienced individual who can work across clients, business units, and regional teams. In this role, you will be a critical member of a fast-paced cross-functional development team focused on execution, so you must thrive in a time-constrained, multitasking environment.

Job Description

This position is part of Experian’s Global Identity & Fraud Product team, concentrating on research and development of novel analytical solutions, product prototyping, as well as new digital data asset evaluations, implementation, and modeling in support of our Device Intelligence portfolio. The hands-on role requires extensive data science and technical background and execution in machine learning and engineering prototypes. Previous experience analyzing large datasets and developing data-driven statistical models, particularly with digital, behavioral, and network signal data is desirable. Experience in risk-based authentication, digital identity recognition, or fraud analytics is a plus. This is an individual contributor role with the opportunity to grow into a leadership position.

Key responsibilities include:

• Team up with clients and cross-business stakeholders to create new, future-oriented and differentiated digital capabilities for Experian
• Work with Product and Engineering teams to analyze, develop, test, and implement models with device and behavioral data in support of Experian’s digital initiatives
• Collaborate with internal stakeholders such as Product, Analytics, Technology, Risk, Engineering, Sales, Marketing, and Account teams to ensure proper coordination and execution of projects
• Invent, apply, and modify algorithms to solve challenging business problems
• Conduct ROI and benefit analysis, validate score performance, and implement new digital recognition models that maximize recognition and inform fraud capabilities
• Document and present analytic processes and model performance to key business and client stakeholders
• Analyze, process, evaluate, and productize the use of large, complex data sets
• Identify and develop appropriate machine learning / data mining / text mining analytics techniques to uncover and maximize the value of digital data
• Design data structure and data storage schemes for efficient data manipulation and information retrieval
• Develop tools for data processing and information retrieval
• Develop data-driven models to quantify the value of a given data set

Qualifications

• Advanced degree in Machine Learning, Engineering, Data Science, Computer Science, Physics, Statistics, Applied Math, or other quantitative fields
• 5+ years of work experience in analytics, engineering, data science, and/or predictive modeling
• Proficient in more than one of Python, R, Java, Spark, C++, or Scala
• Demonstrated ability to independently lead and execute projects from start to finish
• Proven track record in modifying and applying advanced algorithms to address practical problems
• Ability to work independently on the development of complex models with extremely large and complex data structures
• Familiarity with scripting languages and Linux / Unix environments
• Strong written, oral, and data communication skills

Preferred Skills and Experience

• Experience with Hadoop and NoSQL related technologies such as Spark, Hive, Cassandra, MapReduce, Pig, HBase, mongoDB, etc.
• Experience with graph technologies and neural network, ensemble, and deep learning methods
• Experience with semi-structured / non-structured data collected from SDK/Web collectors in support of risk-based authentication, digital identity recognition, and online / mobile fraud analytics
• Knowledge of natural language processing / text mining techniques and related open-source tools
• Solid knowledge of Bayesian statistical inference and related machine learning methods
• Experience with Agile software development methodology, including CI/CD familiarity, as well as Docker and Airflow
• Familiarity with agile frameworks

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 and it reflects what we believe.  See our DEI work in action!

Please contact us at JobPostingInquiry@experian.com to request the salary range of this position (please include the exact Job Title as it reads above in your email). In addition to a competitive base salary and variable pay opportunity, Experian offers a comprehensive benefits package including health, life and disability insurance, generous paid time off including 12 company paid holidays and parental and family care leave, an employee stock purchase plan and a 401(k) plan with a company match.

Experian Careers - Creating a better tomorrow together

Find out what its like to work for Experian by clicking here