Data Scientist, Product

US Mobile
New York, NY

Job Description

Job Description

US Mobile is on a mission to revolutionize connectivity. Imagine a world where you can go into a single app and buy terabytes of data for every one of your devices: phone, smart devices, car, home broadband, and more. That’s the future that US Mobile is building: a software platform built truly for the 21st century and the age of 5G and IoT, with world class engineering, best-in-class user experience, and features that will define the next generation of connectivity.

At the core of it all, we have a team and culture that has been recognized by Forbes as one of the top 500 best startup employers in the US. Our team spans diverse backgrounds, cultures, and stories, with employees coming from 20+ countries.

We’re a venture-backed company entering hypergrowth, having recently ranked 94th on Inc 5000’s fastest-growing private companies in America, and we’re looking for someone exceptional to join our team.

We are looking for a Product Data Scientist who can turn data into clear, actionable insights that drive product and business growth. In this role, you’ll partner closely with Product, Engineering, Marketing, and Operations teams to define success metrics, monitor performance, design experiments, and deliver reporting that guides decision-making. If you enjoy using data to tell stories, influence strategy, and uncover opportunities, this role is for you.

Description:
  • Partner with product and business teams to inform, influence, and execute product strategy and key investment decisions.
  • 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.
What we are looking for:
  • 5+ years of experience in product analytics, data science, or a related analytical role with a proven track record of delivering business impact.
  • 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.
  • 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.
Benefits:
  • Competitive salary - $120k–190k (NYC based, in office Monday-Wednesday)
  • Gym reimbursement
  • Your choice of tech & noise-canceling headphones
  • Free cellular service on the best network in the US
  • Free lunch in NYC office & fully stocked kitchen
  • MetroCard reimbursement
  • Flexible working hours

Think you could be a good fit?!? Apply to learn more.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Posted 2026-04-11

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