Data Scientist developing and implementing LLM - based agents and leveraging AI techniques to improve client value. Collaborating on project challenges in a dynamic, start - up environment at Gartner.
About the role
- Product Data Scientist generating actionable insights from complex datasets to drive growth at US Mobile. Collaborating with cross-functional teams in a fast-paced startup environment.
Responsibilities
- 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.
Requirements
- 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
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