Data Scientists - Finance Job at T-Mobile (Bellevue)

Job Description

Data Scientists – 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.

Job Responsibility

Operate the model, coordinate with stake holders, 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

Requirements

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
Master’s degree in Measurement and Statistics, Applied Statistics, Financial Engineering, or related, and 1 year of relevant work experience. OR Bachelor’s degree in Measurement and Statistics, Applied Statistics, Financial Engineering, or related, and 3 years of relevant work experience
At least 18 years of age
Legally authorized to work in the United States

What we offer

Competitive base salary and compensation package
Annual stock grant
Employee stock purchase plan
401(k)
Free, year-round money coaches
Medical, dental and vision insurance
Flexible spending account
Paid time off
Up to 12 paid holidays
Paid parental and family leave
Family building benefits
Back-up care
Enhanced family support
Childcare subsidy
Tuition assistance
College coaching
Short- and long-term disability
Voluntary AD&D coverage
Voluntary accident coverage
Voluntary life insurance
Voluntary disability insurance
Voluntary long-term care insurance
Mobile service & home internet discounts
Pet insurance
Commuter and transit programs

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Data Scientists - Finance

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