Sr Data Scientist (Information Security)

As America’s Un-carrier, T-Mobile US, Inc. (NYSE: TMUS) is redefining the way consumers and businesses buy wireless services through leading product and service innovation. The company’s advanced nationwide 4G and 4G LTE network delivers outstanding wireless experiences for customers who are unwilling to compromise on quality and value. Based in Bellevue, Wash., T-Mobile US operates its flagship brands, T-Mobile and MetroPCS. It currently serves approximately 58 million wireless subscribers and provides products and services through 70,000 points of distribution.Description

The Sr Data Scientist role is responsible for developing requirements and specifications that support modeling complex problems, discovering insights and identifying opportunities through the use of statistical, algorithmic, mining and visualization techniques. In addition to advanced analytic skills, this role requires proficiency at integrating and preparing large, varied datasets, architecting specialized database and computing environments, and communicating results.

The Sr Data Scientist will work closely with data consumers, data owners, project/program managers, and other IT and corporate Information security teams to turn data into critical information and knowledge that can be used to make sound organizational decisions. Other responsibilities include providing data that is congruent and reliable.

The SR Data Scientist applicant needs to be a creative thinker requiring little oversight who can propose innovative ways to look at problems by using data mining (the process of discovering new patterns from large datasets) approaches on the set of information available. The Data Scientist will need to validate findings using an experimental and iterative approach.

Additionally, the Data Scientist must be able to present back their findings to the business by exposing their assumptions and validation work in a way that can be easily understood by their business counterparts.

Enterprise Core Competencies

The Data Scintist will need a combination of business focus, strong analytical and problem solving skills and programming knowledge to be able to quickly cycle hypothesis through the discovery phase of the project. Excellent written and communications skills to report back the findings in a clear, structured manner are required.


Minimum Required

  • Bachelor degree in mathematics, statistics or computer science or related field; Master degree strongly preferred
  • 5-8 years of relevant quantitative and qualitative research and analytics experience
  • Solid knowledge of statistical techniques
  • The ability to come up with solutions to loosely defined business problems by leveraging pattern detection over potentially large datasets
  • Strong programming skills (such as Hadoop MapReduce or other big data frameworks, Java), and statistical modeling (like SAS or R)
  • Experience using machine learning algorithms
  • Proficiency in the use of statistical packages
  • Proficiency in statistical analysis, quantitative analytics, forecasting/predictive analytics, multivariate testing, and optimization algorithms
  • Strong communication and interpersonal skills


  • Knowledge of current technological trends and developments in the area of information security
  • Knowledge of the telecommunication industry
  • Previous leadership experience, a plus


Minimum Required

  • Bachelors Degree, Masters preferred, Mathematics, Statistics or Data Science

Essential Functions

  • Designs experiments, test hypotheses, and build models
  • Conducts advanced data analysis and complex designs algorithm.databases
  • Works with stakeholders to identify the requirements and the expected outcome
  • Works with and alongside analysts by suggesting other products of interest to the consumer
  • Models and frames scenarios that are meaningful and which impact on critical business processes and/or decisions
  • Identifies what data is available and relevant, including internal and external data sources, leveraging new data collection processes
  • Collaborates with subject matter experts to select the relevant sources of information
  • Works with teams to support data collection, integration, and retention requirements based on the input collected with the business
  • Solves consumer analytics problems and communicates results and methodologies
  • Works in iterative processes with the consumer and validates findings
  • Develops experimental design approaches to validate finding or test hypotheses
  • Validates analysis by comparing appropriate samples
  • Employs the appropriate algorithm to discover patterns
  • Works with the data owner to ensure that the information used is in compliance with the regulatory and security policies in place
  • Qualifies where information can be stored or what information, external to the organization, may be used in support of the use case
  • Identifies and analyzes patterns in the volume of data supporting the initiative
  • Provides business metrics for the overall project to show improvements (contribution to the improvement should be monitored initially and over multiple iterations)
  • Demonstrates the following scientist qualities: clarity, accuracy, precision, relevance, depth, breadth, logic, significance, and fairness
  • Troubleshoots and implements enhancements and fixes to systems as needed

We Take Equal Opportunity Seriously – By Choice

T-Mobile USA, Inc. is an Equal Opportunity Employer. All decisions concerning the employment relationship will be made without regard to age, race, color, religion, creed, sex, sexual orientation, gender identity or expression, national origin, marital status, veteran status, the presence of any physical or mental disability, or any other status or characteristic protected by federal, state, or local law. Discrimination or harassment based upon any of these factors is wholly inconsistent with our Company values and will not be tolerated. Furthermore, such discrimination or harassment may violate federal, state, or local law.

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