Principal Data Scientist, T-Mobile

Principal Data Scientist

T-Mobile

Location:

United States, Bellevue

Category:

IT - Software Development

Contract Type:

Employment contract

Salary:

127400.00 - 229800.00 USD / Year

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Job Description:

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.

Job Responsibility:

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

Requirements:

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)

What we offer:

medical, dental and vision insurance
flexible spending account
401(k)
employee stock grants
employee stock purchase plan
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
access to commuter and transit programs

Additional Information:

Job Posted:

April 05, 2025

Employment Type:

Fulltime

Work Type:

On-site work

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