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T-Mobile USA, Inc Principal Data Scientist in Bellevue, Washington
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! Principal Data Scientist - Media Attribution The Principal Data Scientist - Media Attribution will lead the development of cutting-edge machine learning and AI-driven models to optimize marketing spend, measure media effectiveness, and drive business outcomes. This role sits within the Media Analytics team, which provides actionable insights to enhance paid media efficiency through data-driven analytics, attribution modeling, ad testing, and forecasting. As a senior technical leader, the Principal Data Scientist will collaborate with business stakeholders, data engineers, and analysts to develop advanced measurement frameworks, improve attribution models, and create AI-driven optimizations for media investments. The ideal candidate will have deep expertise in causal inference, multi-touch attribution (MTA), marketing mix modeling (MMM), and experimental design, ensuring that marketing strategies are backed by robust, data-driven insights. Key Responsibilities: Lead the development and refinement of attribution models (MTA, MMM) to quantify the impact of media investments across channels (digital, social, TV, search, etc.). Advance causal inference techniques to improve media measurement, including uplift modeling, propensity scoring, and Bayesian methods. Develop forecasting models to predict marketing performance, budget allocation impacts, and long-term customer acquisition trends. Enhance ad testing methodologies, including A/B testing, synthetic control experiments, and incrementality testing, to measure media effectiveness accurately. Collaborate with marketing, finance, and analytics teams to translate model insights into business strategies that drive ROI improvements. Optimize media spend through AI-driven decisioning, leveraging reinforcement learning, Bayesian optimization, and econometric modeling. Stay at the forefront of AI & ML innovations in marketing measurement, driving technical advancements and thought leadership within the team. Work closely with data engineers to scale and automate model deployment, integrating ML solutions into production environments. Required Qualifications: Proven experience in marketing and media analytics, with a focus on attribution modeling, causal inference, and media mix optimization. Strong background in machine learning, econometrics, and statistical modeling with applications in marketing measurement. Expertise in Python, R, SQL, and cloud platforms (AWS, GCP, or Azure) for scalable modeling and data processing. Experience with experimental design and incrementality testing in digital and traditional media channels. Ability to communicate complex data science concepts to both technical and non-technical stakeholders, influencing business decisions. Ph.D. or Master's degree in a quantitative field (e.g., Statistics, Economics, Computer Science, Applied Mathematics). This role is ideal for a hands-on, forward-thinking data science leader who is passionate about driving business impact through AI and machine learning in marketing measurement. If you thrive at the intersection of advanced analytics and strategic decision-making, we'd love to hear from you! Base Pay Range: $127,400 - $229,800 Corporate Bonus Target: 20% The pay range above is the general base pay range for a successful candidate in the role. The successful candidate's actual pay will be based on various factors, such as work location, qualifications, and experience, so th