> Markdown version of [/jobs/ext/4207624-data-scientist-ii-analytics](https://www.wearedevelopers.com/jobs/ext/4207624-data-scientist-ii-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). --- # Data Scientist II, Analytics - **Company:** Expedia Inc. - **Location:** Leavenworth, WA, United States - **Salary:** $112,000.0 - $156,500.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, R (Programming Language), Python (Programming Language), SQL Databases, Unstructured Data, Information Technology, Programming Languages - **Published:** October 21, 2026 - **Apply:** https://www.dice.com/job-detail/19b0d312-04a0-4e10-a3ac-2291cda8b2b6 ## About the Role * Experience applying statistical or analytical methods to business, product, customer, or partner questions. * Experience with SQL and proficiency in Python, R, or a similar programming language. * Understanding of descriptive statistics, inferential analysis, experiment design, and statistical concepts. * Experience not just using AI but also validating its work and end products * Experience cleaning, joining, validating, and analyzing structured data from multiple sources. * Ability to translate business questions into measurable metrics and analytical approaches. * Ability to communicate insights clearly through written summaries, visualizations, dashboards, and presentations. * Ability to manage small projects and collaborate with technical and non-technical stakeholders. * Bachelor's degree in statistics, mathematics, computer science, data science, economics, or related technical field; or Equivalent related professional experience. ## Description * Clean, query, combine, and validate structured data independently, and work with unstructured data under guidance, using SQL and/or Python * Manage timelines and priorities for small analytics projects while building trust and credibility with stakeholders. * Perform descriptive and inferential analyses independently in a business context, with recommendations on next steps. * Communicate insights and recommendations to technical and non-technical stakeholders through clear visualizations and presentations.