• Develop and continuously improve penetration permutation models, along with challenger models to test and enhance performance.

• Monitor key performance indicators through real-time cohort-level dashboards and scorecards, enabling fast, data-informed decisions.

• Incorporate geographic and partner-level variations (including JV and Wholesale) into modeling to ensure accurate regional cost optimization.

• Collaborate with cross-functional teams—including engineering, finance, marketing, and leadership—to drive alignment between data insights and business strategy.

• Communicate findings and recommendations effectively using clear visualizations, presentations, and storytelling techniques.

Qualifications:

Required:

• 4–7 years of experience in data science, machine learning, or ML engineering, including building and deploying predictive models in production environments.

• Proficiency in Python and SQL for data manipulation, modeling, and visualization.

• Experience with big data platforms such as Hadoop, Hive, Spark, and Kafka.

• Strong foundation in statistics, probability, linear algebra, and calculus.

• Proven ability to frame complex business problems into analytical solutions and translate insights into actionable business recommendations.

• Ability to thrive in a fast-paced environment with evolving priorities and a high degree of cross-functional interaction.

• Excellent communication skills—both written and verbal—with the ability to tailor technical concepts to non-technical audiences.

• Bachelor’s Degree in a quantitative discipline (e.g., Mathematics, Statistics, Computer Science, Engineering, Economics) required.

• At least 18 years of age

• Legally authorized to work in the United States

Preferred:

• Experience in telecommunications or fiber infrastructure is highly preferred.

• Master’s Degree or higher in a related field preferred.

• Hands-on experience developing deep learning models.

• Familiarity with fiber network planning, deployment strategies, or telecom business metrics.

• Advanced data visualization skills using tools like Tableau, Power BI, or Python-based libraries.

Company:

T-Mobile is a telecommunications company that provides wireless communication services, including mobile phone and internet services. It is a sub-organization of Deutsche Telekom. Founded in 1994, the company is headquartered in Bellevue, Washington, USA, with a team of 10001+ employees. The company is currently Public Company.