Data Scientists - Finance

Job Summary

Data Scientist – Finance located in Bellevue, WA will prepare monthly and quarterly updates for existing models related to jump deferrals, Apple Forever Valuations, and Fair Market Value of Devices, and support the Modeling and Valuation team in adhoc data analytics.

• Operate the model, coordinate with stakeholders, and run a process to estimate the liability associated with the Jump Program.
• Update the Jump liability program to increase efficiency for various stakeholders.
• Provide adhoc analytics on various valuations.
• Perform data analytics and statistical analysis to support forecast of device values.
• Provide data analytics and statistical analysis to support the estimate of the Apple Forever Liability.
• Work with various stakeholders to prepare a model to forecast credit losses on T-Mobile service contracts.
• Understand key data architecture and changes to the company to provide insights to various stakeholders with respect to data and valuation estimates.
• Telecommuting is permitted, but applicant must work from the worksite location at least 3-4 days per week.
• Minimal amount of travel for training or conferences may be required periodically.

• 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, ASC 460, ASC 606, ASC 820, 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.

PRIMARY REQUIREMENTS:
Master’s degree in Measurement and Statistics, Applied Statistics, Financial Engineering, or related, and 1 year of relevant work experience.

ALTERNATIVE REQUIREMENTS:
Bachelor’s degree in Measurement and Statistics, Applied Statistics, Financial Engineering, or related, and 3 years of relevant work experience.

• Location:
  
  Bellevue, WA
• This position is eligible for the employee referral program.
• At least 18 years of age.
• Legally authorized to work in the United States.

Travel Required:

No

DOT Regulated Position:
No

Safety Sensitive Position:
No

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• Create a candidate profile and apply to REQ
  348380.

Work hours:

40 hours/week. Washington Pay Range: $ to $ per year.

T-Mobile USA, Inc. is an Equal Opportunity Employer. All decisions concerning the employment relationship will be made without regard to age, race, ethnicity, color, religion, creed, sex, sexual orientation, gender identity or expression, national origin, religious affiliation, marital status, citizenship 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, retaliation or harassment based upon any of these factors is wholly inconsistent with how we do business and will not be tolerated.

Talent comes in all forms at the Un-carrier. If you are an individual with a disability and need reasonable accommodation at any point in the application or interview process, please let us know by emailing Applic or calling  Please note, this contact channel is not a means to apply for or inquire about a position and we are unable to respond to non‑accommodation related requests.