Senior Data Modeling Analyst

Key Skills

Python Programming, Scala Programming, C++, Java Programming, Machine learning techniques, Data science techniques, SQL, Apache Hadoop, MapReduce, TensorFlow, PyTorch, R Programming

Job Description

Experian’s Decision Analytics group is looking for a Senior Data Modeling Analyst! This person will work on the development of advanced analytical solutions for Experian clients, including scoring and business intelligence for account acquisition, applicant decisioning and account management.

About us, but we’ll be brief

Experian is the world’s leading global information services company, unlocking the power of data to create more opportunities for consumers, businesses and society. We are thrilled to share that FORTUNE has named Experian one of the 100 Best Companies to work for. In addition, for the last five years we’ve been name in the 100 “World’s Most Innovative Companies” by Forbes Magazine.In this era of disruptive digital transformation, delivering new and innovative customer experiences is a top priority for businesses worldwide. At Experian, a worldwide decisioning leader, we make this a reality by uniting data, advanced analytics and decision strategies with real-time operational execution and strong decision governance to deliver meaningful customer outcomes and positive business results.

But we are more than our leadership in data and technology; our people are at the center of everything we do. Inspired employees are the secret to our success, and we pride ourselves on the opportunities we offer to learn, grow, and thrive. Our Culture of Curiosity is enabled by five foundational principles: openness – to build a more social, closely-knit community; comradery – which creates an environment of trust that promotes risk-taking; adventure – which leads to new experiences and exciting, unexpected ideas; purpose – which reminds us of why we come to work every day; and growth – which shows us the incredible potential of our career.

What you’ll be doing

• Execute analytical projects, at times leading analysis project from solution design and data integrity evaluation through solution documentation and implementation.
• Collaborate with internal and external clients to determine the appropriate analysis parameters and performance measures to be applied, as well as requirements for decision tool and strategy implementation and monitoring.
• Interpret results of analyses, identify trends and issues and recommend alternatives to support business objectives.
• Communicate with and deliver presentations to end users on analysis results.
• Produce implementation plans and participate in audits to support the implementation of statistical models and other decision tools.
• Support field sales force and marketing organization by providing analytical expertise.
• Support the development of new analytical and data products and services, and the enhancement of current processes and offerings.

What your background looks like

• Minimum of 2 years of statistical modeling / data analysis experience including data manipulation experience
• Advanced degree, preferably in Statistics, Mathematics, Computer Science/Engineering, or Machine Learning
• Expert analytical skills to evaluate, understand and interpret data from both an internal and client perspective.
• Demonstrated ability to communicate ideas and analysis results effectively both verbally and in writing to both a technical and non-technical audience.
• Excellent communication, organization, interpersonal and presentation skills.
• Experience with analytical tools and programming languages such as Python, R, SAS. Working knowledge of SQL/HQL, Java, UNIX scripting, and Excel VB.
• Experience in programming in parallel and distributed computing for Big Data such as MapReduce, Spark, Hadoop, Yarn. 
• Financial services industry experience preferred

Perks

• People-focused culture where personal and professional growth is prioritized
• Recognition and celebration of performance and achievements
• Power to bring your whole self to work – where your differences and values will be respected and celebrated
• Employee Resource Groups set up and run by employees, for employees. These networks build, celebrate, and further understanding of the diverse identity and experiences within Experian, in support of our commitment to diversity and inclusion.
• Frequent socials (virtual in the Covid era, but in-office usually)
• International network of peers; mentorship programs
• During this pandemic, all Experian employees are working remotely. Once it’s safe to do so, we’ll slowly return to our offices however we are in no rush to do this. The safety of our employees is of utmost importance.
• Three weeks of vacation to start, five sick days and two volunteer days (plus eleven paid holidays)
• Competitive pay and comprehensive benefits package
• Flexible work schedule and relaxed dress code