> Markdown version of [/jobs/ext/4614946-senior-data-scientist-product-analytics](https://www.wearedevelopers.com/jobs/ext/4614946-senior-data-scientist-product-analytics). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Scientist, Product Analytics - **Company:** The Ladders - **Location:** United States (Remote available) - **Experience:** Expert - **Salary:** $145,000.0 - $170,000.0 - **Contract:** Permanent contract - **Skills:** A/B Testing, Data Analysis, Data Infrastructure, Database Queries, Python (Programming Language), Tableau (Software), Usage Analysis, Looker Analytics - **Published:** November 7, 2026 - **Apply:** https://arc.dev/remote-jobs/j/redirect/px8fhrdghz ## About the Role * 7+ years of quantitative data analysis experience, ideally in tech or internet sectors * Strong SQL skills for critical business decision-making * Deep understanding of statistics with the ability to communicate concepts to non-technical audiences * Bachelor's or Master's degree in Math, Engineering, Statistics, or a related quantitative field * Proven ability to manage multiple projects and meet deadlines in a fast-paced environment * Excellent communication skills for stakeholder engagement * Proficiency in Python/R and BI tools like Tableau or Looker ## Description This role will focus on turning complex product and user data into clear insights that improve decision-making and drive measurable business outcomes. You will lead advanced analysis, develop scalable analytics tools, and support experimentation efforts that help refine the product experience. The position also partners closely with Engineering and cross-functional stakeholders to strengthen data infrastructure, governance, and reporting capabilities., * Conduct in-depth analyses to identify product improvement opportunities * Build advanced models and analytics tools for enhanced product insights * Proactively generate and communicate data-driven insights to stakeholders * Analyze A/B tests to enhance user conversion and engagement * Develop automated and scalable dashboards for informed business decisions * Collaborate with Engineering to improve data infrastructure and governance