
Jobright is your personal AI job search co-pilot that transform the way you do job search from solo, time-consuming efforts to a co-piloted journey with a seasoned AI career assistant at the helm, simplifying every job search step and accelerating your route to the best job outcomes.

Jobright is your personal AI job search co-pilot that transform the way you do job search from solo, time-consuming efforts to a co-piloted journey with a seasoned AI career assistant at the helm, simplifying every job search step and accelerating your route to the best job outcomes.
What they do: AI-native job platform offering a proactive "career agent" that finds, customizes, and can submit applications for job seekers
Founded / HQ: Founded 2023; headquartered in Santa Clara, California
Recent funding: Seed round $3.2M announced June 24, 2025 led by Translink Capital
Traction: Reported user base of ~520,000 (company blog)
Job search efficiency and application automation for job seekers (including international applicants).
2023
Software Development
$3.2M
Participation reported from HR Tech Investments
Verified Job On Employer Career Site
Job Summary:
T-Mobile is committed to investing in its employees and providing a competitive rewards package. As a Sr. Data Scientist, you will unlock insights and build advanced machine learning models to drive fiber network growth and optimize deployment strategies, working in a collaborative environment with a direct impact on T-Mobile's fiber expansion.
Responsibilities:
• Design, build, and deploy end-to-end machine learning and statistical models that accelerate fiber growth and improve financial performance.
• Extract, clean, and model large, complex datasets using advanced programming and statistical techniques.
• Define and frame business problems in mathematical terms—such as identifying underperforming market segments, optimizing penetration strategies, and analyzing fiber user behavior.
• 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.