AT&T Senior-Advanced Analytics (Data Scientist) in Dallas, Texas

Location: Position must be

filled in Dallas, TX

Responsibilities: AT&T

has an immediate need for an individual to serve as a Senior-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:

  • Gathers, analyzes, and interprets a widevariety of data to identify causal relationships, trigger points and ultimatelymake predictions on customer behavior.

  • Projects may include churn models, buypropensity models, customer behavior and segmentation, sales analysis, productlevel analysis (adoption, price elasticity modeling) and customer experienceanalysis.

  • Builds predictive models using data, tests themodel on results outside of the sample size and verifies the model in the realworld. Quantifies significance of data variances, applies an array ofstatistical methods ranging from traditional to newly-developing within theBig-Data space.

  • Developscomplex 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.

  • Collaborateswith analytics engineers to implement and deploy scalable solutions

  • Providesthought leadership by researching best practices, conducting experimentsand collaborating with industry leaders

  • Develops reports, charts, tables, and othervisual aids in support of findings. Advises business partners with regards topatterns and relationships in data to recommend business direction or outcomes.

Education : 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.

Experience : Typically possesses

strong understanding of internal business segment or stakeholders and strong

presentation skills. Typically requires 5 years related experience in advanced

analytics, big data, relational database structures, research methods, sampling

techniques, and system testing.

Supervisory : No.

  • Job Contribution :Deep knowledge of machine learning, statistics, optimization or related field

  • Experience with R or Python isrequired. Background in programming in C, C++, Java is beneficial.

  • Experience working with large data sets, simulation/optimization and distributedcomputing tools (Map/Reduce, Hadoop, Hive, Spark, Gurobi, Arena, etc.)