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US Mobile Logo

Data Scientist, Product

US Mobile

$120,000 - $190,000
Sep 24, 2025
New York, NY, US
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US Mobile is looking to revolutionize connectivity by building a software platform for the 21st century, 5G, and IoT. They need a Product Data Scientist to turn data into actionable insights that drive product and business growth.

Requirements

  • Expert-level SQL skills for data extraction, transformation, and analysis.
  • Proficiency with BI and visualization tools (e.g., Tableau, Looker, Hex, or similar) to build clear, impactful dashboards and reports.
  • Familiarity with modern data modeling frameworks (e.g., dbt) and best practices in scalable analytics.
  • Demonstrated ability to perform exploratory analyses on complex datasets, tackling ambiguous, open-ended questions and translating findings into clear, actionable insights.

Responsibilities

  • Analyze large, complex datasets—conducting both ongoing and ad-hoc deep dives—to uncover patterns, trends, and opportunities that drive strategy.
  • Build and maintain dashboards and reports that deliver clear visibility into product usage, funnels, customer behavior, retention, and overall business performance.
  • Design and analyze A/B tests and product experiments to evaluate the impact of new features and product changes.
  • Design and build data models and pipelines that ensure reliable, scalable foundations for reporting and dashboards.
  • Translate complex data into actionable insights and communicate findings effectively to both technical and non-technical audiences.
  • Identify growth opportunities across acquisition, retention, monetization, and customer journey optimization.

Other

  • Partner with product and business teams to inform, influence, and execute product strategy and key investment decisions.
  • Excellent stakeholder management and communication skills, with the ability to distill complex findings into clear, compelling narratives for non-technical audiences.
  • Self-starter who is proactive, adaptable, and thrives in fast-paced, dynamic environments with evolving priorities.
  • 5+ years of experience in product analytics, data science, or a related analytical role with a proven track record of delivering business impact.
  • In office Monday-Wednesday