AT&T Principal-Advanced Analytics (Data Scientist) in Dallas, Texas
must be filled in Dallas, TX
Responsibilities: AT&T has an immediate need for an individual to serve as aPrincipal - Advanced Analytics (Data Scientist) in Business Marketing
Organization. This position requires advanced skills in the use of
predictive modeling, machine learning and 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 and monetize products for sale.
Key Roles :
Develops, validates and maintains end-to-end complex Data Scienceprojects
Gathers, analyzes, and interprets a wide variety of data to identifycausal relationships, trigger points and ultimately make predictions oncustomer behavior.
Projects may include churn models, buy propensity models, customerbehavior and segmentation, sales analysis, product level analysis (adoption,price elasticity modeling) and customer experience analysis.
Builds predictive models using data, tests the model on results outsideof the sample size and verifies the model in the real world. Quantifiessignificance of data variances, applies an array of statistical methods rangingfrom traditional to newly-developing within the Big-Data space.
Develops complex models and algorithms that drive innovation throughout theorganization. This may include improving on-time performance, network planning,etc.
Experience with statistical techniques: regression-based modeling (especially logistic regression), Gradient Boosting, Random Forest, Ensemble Methods, Neural Networks, text mining, rare event modeling.
Collaborates with analytics engineers to implement and deploy scalable solutions
Provides thought leadership by researching best practices, conducting experiments andcollaborating with industry leaders
Develops reports, charts, tables, and other visual aids in support offindings. Advises business partners with regards to patterns and relationshipsin data to recommend business direction or outcomes.
Preferred advanced college degree in Statistics, Mathematics and or Computer
Science or Ph.D. in related fields; Data Analytics, Machine Learning, or
Business Analyst nanodegree; or related expertise.
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.
Supervisory : No
Deep knowledge of machine learning, statistics, optimization or related field
Experience with R or Python is required
Background in programming in C, C++, Java is beneficial
Experience working with large data sets, simulation/optimization and distributed computing tools (Map/Reduce, Hadoop, Hive, Spark, Gurobi, Arena, etc.)