AT&T Student Intern - Data Scientist in Atlanta, Georgia

AT&T Summer Intern - Internship will last up to 12 weeks.

Innovation, technology, teamwork, exceptional customer service…… those words resonate with you? If so, consider joining AT&T’s summer intern program. We have a number of opportunities available across AT&T and we consider a variety of degrees such as Engineering, Computer Science and Information Technology.

We are looking for highly motivated, energetic students who have the potential to become future leaders at AT&T. During your internship, you will be exposed to projects that require teamwork, strategic thinking, communication and leadership. In return we will help lay the groundwork for a satisfying career with the most innovative telecommunications company in the world.

The Data Scientist will be responsible for designing and implementing processes and layouts for complex, large- scale data sets used for modeling, data mining, and research purposes. Uses intermediate 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.

Key Roles and Responsibilities: This position will work closely with the Finance organization functional (Analytics) leads for Credit and Collections to formulate hypothetical insights and work through planning for delivering these insights to production. Design and build large and complex data sets, from spurious sources while thinking strategically about uses of data and how data use interacts with data design. Perform data studies and data discovery around new data sources or new uses for existing data sources. Gathers, analyzes, and interprets a wide variety of data to identify causal relationships, trigger points and ultimately make predictions on customer behavior. Projects may include churn analysis, customer behavior and segmentation. Perform statistical analyses with existing data sets in statistical packages. Builds predictive models using data, tests the model on results outside of the sample 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. Visualize and report data findings creatively in a variety of visual formats that appropriately provides insights to the organization. Develops reports, charts, tables, and other visual aids in support of findings. Advises business partners with regards to patterns and relationships in data to recommend business direction or outcomes.

Job Contribution: Works on unusually complex problems and provides solutions that are highly creative. Assists to determine and pursue courses of actions essential in obtaining desired outcomes.

Education: Typically possesses undergraduate degree in Statistics or Data Science related field with progress towards or recent completion of advanced college degree in Statistics or Data Science related field.

Experience: Typically possess strong understanding of internal business segment or stakeholders, and strong presentation skills. Typically requires related experience in relational database structures and data gathering, research methods, data science/mining, sampling techniques, statistical methods and modeling, and use of statistical data software (preferred SAS or R).

Supervisory: No

Required Qualifications

  • Must be currently pursuing or recently completed a graduate level degree

  • Must be able to clear a background check and drug test and possibly a driver’s license check

  • Must be able to operate a personal computer or wireless device

  • This position may require a Motor Vehicle (MVR) Report