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 summary: T-Mobile is America’s supercharged Un-carrier, delivering an advanced 4G LTE and transformative nationwide 5G network that will offer reliable connectivity for all. Sr Data Scientists is located in Bellevue, WA will develop forecasting models to predict marketing performance, budget allocation impacts, and long-term customer acquisition trends. • 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. 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.

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.