Principal-Advanced Analytics

Key Skills

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

Job Description

Who You Are

You are a problem solver first and foremost. You are someone who gets energized by new challenges, with a proven ability to learn quickly. You are agile, and adapt to frequently changing business priorities, sometimes solving problems with little direction. You work on unusually complex problems, providing solutions that are highly creative. You are innately curious with a propensity to ask “why?” and “why not” in the shared goal of a solutions-based approach to fraud management. You do not need to be coached on how to take initiative, it is a part of who you are. As an added bonus, you have experience on a high performing team or at the very least, are a high performing individual – and may have some prior experience working within the fraud space.

Job Description

While this position is within the Fraud team, this position is typically found in data and/or customer focused organizations where analysis of big data and/or data from multiple sources including internal/external data, data lakes, data warehouses, etc. is critical to the success of the business. Will oversee projects using advanced skills in the use of predictive modeling, statistics, trend analysis, and other data analysis techniques to collect, explore, and identify the right data to be analyzed from internal and external sources to explain or predict behavior and or solve a variety of business problems, build business cases and monetize products for sale.

A key advisor to the Fraud team and Fraud’s cross-functional partners regards to patterns and relationships in data to recommend business direction or outcomes. Determines and pursues courses of actions essential in obtaining desired data and outcomes. Uses independent judgment to accomplish objectives and is able to supervise a group of highly seasoned professionals in this area of expertise.

Responsibilities include:

• Creating and maintaining fraud detection system configuration for all fraud systems
• Overseeing the gathering, analysis, and interpretation of a wide variety of data to identify causal relationships, trigger points and ultimately make predictions on customer behavior.
• Builds predictive models using data, tests the model on results outside of the sample size and verifies the model in the real world. Quantifies significance of data variances, applies an array of statistical methods ranging from traditional to newly-developing within the Big-Data space.
• Uses basic machine learning / AI techniques to build models that support decision making. Develops reports, charts, tables, and other visual aids in support of findings.

Education: Typically possesses advanced college degree in Statistics, Mathematics and/or Computer Science; Data Analytics or Machine Learning nanodegree; or related expertise.

Experience: Typically possesses strong understanding of internal business segment or stakeholders and strong presentation skills. Typically requires 8-10 years related experience in advanced analytics, big data, relational database structures, research methods, sampling techniques, and system testing as well as supervisory experience, advanced skills in the use of predictive modeling, statistics, trend analysis, and other data analysis techniques to collect, explore, and identify the right data to be analyzed from internal and external sources to explain or predict behavior and or solve a variety of business problems.

This position is subject to the DIRECTV COVID-19 Vaccination Policy. Click here for additional information.

This position can earn between $115,600 - $231,100.. Not to mention all of the other amazing rewards that working at DIRECTV offers. From health insurance to tuition reimbursement and paid time off to discounts on products and services just to name a few. There is a lot to be excited about around here.

This is a remote position that can be located anywhere in the United States.