Sr Data Scientists

At T-Mobile, we invest in YOU!  Our Total Rewards Package ensures that employees get the same big love we give our customers.  All team members receive a competitive base salary and compensation package - this is Total Rewards. Employees enjoy multiple wealth-building opportunities through our annual stock grant, employee stock purchase plan, 401(k), and access to free, year-round money coaches. That’s how we’re UNSTOPPABLE for our employees!

Position duties and responsibilities include, but are not limited to:

• Use Python to diagnose and resolve statistical model failures due to data or code issues.
• Use Python and SQL to monitor statistical model outputs to assess accuracy and detect signs of drift.
• Investigate causes of accuracy performance changes and flag concerns.
• Run and analyze scenario-based forecasts to support business planning using Tableau and Power BI.
• Collaborate with marketing, finance, and analytics teams to translate model insights into business strategies that drive ROI improvements.
• Work closely with data engineers to scale and automate model deployment, integrating ML solutions into production environments.
• Stay at the forefront of AI & ML innovations in marketing measurement, driving technical advancements and thought leadership within the team.

Minimum requirements: 

Experience and education requirements:

PRIMARY REQUIREMENTS: Master’s degree or foreign equivalent in Business Analytics, Economics, Engineering, Physics, Mathematics, Statistics, or related, and 3 years of relevant work experience in any occupation in which the required experience is gained. 

ALTERNATIVE REQUIREMENTS:Bachelor’s degree or foreign equivalent in Business Analytics, Economics, Engineering, Physics, Mathematics, Statistics, or related, and 5 years of relevant work experience in any occupation in which the required experience is gained. 

Skills requirements: Requires experience in each of the following: 

1. Utilizing Python and R for building, training, validating, and maintaining statistical and machine-learning models in production environments, including diagnosing model failures and performance degradation.

2. SQL and cloud platforms: AWS, GCP and Azure for scalable data ingestion, transformation, and analytical workflows.

3. Marketing and media analytics, including media attribution performed using Google Marketing Platform and Adobe Analytics, and causal inference methodologies: Bayesian structural time series frameworks, media holdout testing, and advanced media mix optimization techniques.

4. Understanding and interpreting results from predictive analytical models developed using machine-learning and statistical modeling frameworks, including regression and decision-tree techniques, by applying goodness-of-fit metrics, drift diagnostic, scenario testing, and sensitivity analysis.

5. Designing and executing statistical validation, hypothesis testing, and experimentation frameworks, utilizing Python and R-based statistical libraries and controlled A/B testing frameworks to assess model performance, quantify uncertainty, and support high-stakes business decisions.

6. Building business reports and dashboards using Tableau or PowerBI to standardize reporting and identify optimization opportunities that drive desirable business outcomes.

Additional:

• Location: Bellevue, WA
• Telecommuting is permitted, but applicant must work from the worksite location at least 3-4 days per week. No additional national or international travel is anticipated.
• This position is eligible for the employee referral program.

How to apply:

·       Visithttps://www.t-mobile.com/careers

·       Create a candidate profile, and apply to requisition number: REQ375928

OTHER:Work hours: 40 hours/week. Salary: $166,036 to $171,036 per year.

·       The pay range above is the general base pay range for a successful candidate in the state listed. The successful candidate’s actual pay will be based on various factors, such as work location, qualifications, and experience.

·       At T-Mobile, employees in regular, non-temporary roles are eligible for an annual bonus or periodic sales incentive or bonus, based on their role. Most Corporate employees are eligible for a year-end bonus based on company and/or individual performance and which is set at a percentage of the employee’s eligible earnings in the prior year. Certain positions in Customer Care are eligible for monthly bonuses based on individual and/or team performance, while Retail and Business Sales roles are eligible for monthly or quarterly sales incentives. And since we are ALL owners, EVERY employee at T-Mobile is eligible for an Annual Stock Grant. For information about T-Mobile’s amazing benefits, check out

https://careers.t-mobile.com/culture-and-benefits .

• At least 18 years of age
• Legally authorized to work in the United States

Travel:
Travel Required (Yes/No): No

DOT Regulated:
DOT Regulated Position (Yes/No): No
Safety Sensitive Position (Yes/No): No

Candidate’s pay will be based on various factors, such as work location, qualifications, and experience. At T-Mobile, employees in regular, non-temporary roles are eligible for an annual bonus or periodic sales incentive or bonus, based on their role. Most Corporate employees are eligible for a year-end bonus based on company and/or individual performance and which is set at a percentage of the employee’s eligible earnings in the prior year. Certain positions in Customer Care are eligible for monthly bonuses based on individual and/or team performance. 

At T-Mobile, our benefits exemplify the spirit of One Team, Together! A big part of how we care for one another is working to ensure our benefits evolve to meet the needs of our team members. Full and part-time employees have access to the same benefits when eligible. We cover all of the bases, offering medical, dental and vision insurance, a flexible spending account, 401(k), employee stock grants, employee stock purchase plan, paid time off and up to 12 paid holidays - which total about 4 weeks for new full-time employees and about 2.5 weeks for new part-time employees annually - 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, and voluntary long-term care insurance. We don't stop there - eligible employees can also receive mobile service & home internet discounts, pet insurance, and access to commuter and transit programs! To learn about T-Mobile’s amazing benefits, check out www.t-mobilebenefits.com.