Data Science Specialist - System Analysis at AT&T Careers - AT&T Careers
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Looking for a career that takes you further? Here at AT&T, our job is to connect the world. Whether it's in Mexico or around the globe, we transform how people share their lives with each other. And with a growing network of 120 million customers across 225 countries, we're industry innovators - and we're changing the face of communications technology. Come see what's next.

Data Science Specialist - System Analysis

Mexico City, Mexico City, Mexico

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Develop and conduct exploratory data analysis, predictive modeling, and analytical solutions to identify customer payment and risk parameters, characteristics, critical demographics, and operational and financial impacts. Implement predictive modeling, multivariate analysis, logistic and other regression analysis, clustering and segmentation analysis, research design, association rules, decision trees, time series analysis, survival analysis, forecasting, and visualization techniques.

Roles and Responsibilities:

Implement statistical models and interactive tools for analysis of client’s business challenges and develop processes to acquire data from various input points. Participate in client engagements in enhancing current statistical models and develop new models for business needs. Implement data analysis techniques. Perform analysis utilizing Base SAS, SAS/Macros, SAS/STAT, SAS Enterprise Miner, SAS Enterprise Guide, R, MS Office, MS Project, and SQL. Consult with cross-functional teams on matters relating to statistics, knowledge discovery, data modeling, and analytics. Perform networking and research of business unit functions and underlying processes, identify corporate data sources and uses for data, and translate results into meaningful financial impacts and operational recommendations.

Key Competencies and Skills:

Three (3) years of experience in the job offered or three (3) years of experience implementing predictive modeling, multivariate analysis, logistic and other regression analysis, clustering and segmentation analysis, research design, association rules, decision trees, time series analysis, survival analysis, forecasting, and visualization techniques; implementing statistical models and interactive tools for analysis of client’s business challenges and developing processes to acquire data from various input points; participating in client engagements in enhancing current statistical models and developing new models for business needs; implementing data analysis techniques; and performing analysis utilizing Base SAS, SAS/Macros, SAS/STAT, SAS Enterprise Miner, SAS Enterprise Guide, R, MS Office, MS Project, and SQL.

Education and Qualifications:

Data Science or Industrial Engineering. Preferred: Master’s or foreign equivalent degree in Statistics,
Job ID 1910895-I Date posted 08/13/2019

Excellent!

Pros

Very good work - life balance

Cons

Currently none so far ..

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