Data Scientists - Finance

T-Mobile T-Mobile · Telecom · Bellevue, WA +1

Data Scientists in Finance at T-Mobile will prepare monthly and quarterly updates for existing financial models, support adhoc data analytics, and perform statistical analysis for forecasting device values and credit losses. The role requires experience with statistical methodologies, SQL, Python, SAS, and building financial models under SOX compliance.

What you'd actually do

  1. Operate the model, coordinate with stake holders, and run a process to estimate the liability associated with the Jump Program.
  2. Update the Jump liability program to increase efficiency for various stakeholders.
  3. Provide adhoc analytics on various valuations.
  4. Perform data analytics and statistical analysis to support forecast of device values.
  5. Provide data analytics and statistical analysis to support the estimate of the Apple Forever Liability.

Skills

Required

  • Applying statistical and mathematical methodologies including Linear Regression, Logistic Regression, Decision Tree, Cluster Analysis, and Hypothesis Testing to perform segmentation, prediction, forecast, and exploratory analysis
  • Extracting, integrating, and processing large-scale structured and unstructured datasets from multiple enterprise data warehouses and transactional databases using advanced SQL, Python and SAS. Performing data integrity checks to ensure completeness and accuracy under SOX compliance framework
  • Building and refining financial models to estimate the ASC 820 or IFRS 13 fair value of various assets and liabilities using US GAAP and IFRS compliant approaches by synthesizing data from internal systems, third-party market data, and historical financial performance
  • Performing fair value estimates of assets and liabilities using IFRS 13, IFRS 15, ASC460, ASC 606, ASC820, and ASC 805
  • Interpreting and translating the results of statistical and mathematical methodologies including Linear Regression, Logistic Regression, Decision Tree, Cluster Analysis, and Hypothesis Testing and accounting fair value estimates using ASC 460, ASC 606, ASC 820, and ASC 805 prepared by the data scientist into actionable insights for accounting leadership

What the JD emphasized

  • SOX compliance framework
  • US GAAP
  • IFRS