Sr Data Scientist

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!

The Senior Data Scientist – Media Attribution will lead the development of ground breaking 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.
The Senior Data Scientist will collaborate with business stakeholders, data engineers, and analysts to develop sophisticated 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.

*** This position must be located in Bellevue, WA. This is a hybrid schedule requiring at least 3 days a week in office.

Job 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 incrementally testing, to measure media efficiency 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, using 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:

• Bachelor's Degree Quantitative Field (math, statistics, economics, computer science, physics, engineering, etc.) (Required)

• Master's/Advanced Degree Quantitative Field (math, statistics, economics, computer science, physics, engineering) (Preferred)

• 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

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

 

Base Pay Range: $106,000 - $191,100

Corporate Bonus Target: 15%

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 the actual starting pay will vary within this range.

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. To find the pay range for this role based on hiring location, https://paylookup.t-mobile.com/paylookup?reqID=REQ336008&paradox=1

At T-Mobile, our benef