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Principal-Advanced Analytics (Data Scientist)

Dallas, Texas

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Location:  Position
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 Science
    projects

  • 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 models, buy propensity models, customer
    behavior 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 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.

  • Develops complex models and algorithms that drive innovation throughout the
    organization. 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 and
    collaborating with industry leaders

  • 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.

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 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.)



Job ID 1857789 Date posted 01/17/2019

Big Data Intern

Pros

Good experience overall. Colleagues were very helpful. Atmosphere was chilled out and there was no rush to complete the project. Was given ample amount of time to understand the project and contribute.

Cons

People are laid back and don't take initiative to do something new or optimize existing stuff. It's not primarily engineering company so if you know how to talk, you will go far longer in career.

Current Employee - Principal Business Manager
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