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Principal Data Scientist

https://www.t-mobile.com Logo

T-Mobile

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Location:
United States, Bellevue

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Category:
IT - Software Development

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Contract Type:
Employment contract

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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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