> Markdown version of [/jobs/ext/2986763-principal-data-scientist-for-yahoo-mail](https://www.wearedevelopers.com/jobs/ext/2986763-principal-data-scientist-for-yahoo-mail). 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). --- # Principal,, Data Scientist for Yahoo Mail - **Company:** Yahoo - **Location:** United States - **Experience:** Experienced - **Salary:** $143,625.0 - $299,375.0 - **Contract:** Permanent contract - **Skills:** A/B Testing, Artificial Intelligence, Artificial Neural Networks, Confluence, JIRA, Big Data, BigQuery, Cluster Analysis, Data Visualization, Query Languages, Apache Hadoop, Apache Hive, Python (Programming Language), Machine Learning, Multivariate Testing, SQL Databases, Tableau (Software), Scripting, Apache Spark, Yahoo Mail, Atlassian Tools, Data Management, Looker Analytics - **Published:** September 18, 2026 - **Apply:** https://www.dice.com/job-detail/126625ff-02df-4a81-b49a-5726ca6f23d9 ## About the Role * A seasoned data science professional with a track record of solving complex business problems in digital media, product, or commerce environments. * Experienced in agile, iterative, and fast-paced experimentation environments, managing multiple projects within a matrixed team. * An effective communicator who presents insights to both technical and non-technical stakeholders with clarity and rationale. Your Skills: * Expertise in data querying languages (e.g., SQL) and scripting languages (e.g., Python). * Experience with big data technologies, including BigQuery, Hive, Hadoop, and Spark. * Proficiency in visualization tools such as Tableau and/or Looker and third-party tools (e.g., Comscore, SimilarWeb, Data AI). * Hands-on experience with Experimentation Frameworks for A/B Testing and Multivariate Testing. * Strong machine learning skills, covering cluster analysis, neural networks, and predictive modeling. * Utilization of statistical techniques, including correlation analysis, design of experimentation, regression methods, and time series analysis., * Minimum of 6 years of work experience (minimum of 4 years with a Ph.D.) in data science, product analytics, or a similar role in consumer mail, digital media, digital commerce, or product development. * Master's Degree in math, engineering, statistics, data science, or a related field. * Subject matter expertise in consumer internet products. * Experience in commerce or shopping. * Familiarity with project management tools like those from Atlassian (JIRA, Confluence). * Experience working with AI-driven products, data platforms, or analytics workflows is a plus. The material job duties and responsibilities of this role include those listed above as well as adhering to Yahoo policies; exercising sound judgment; working effectively, safely and inclusively with others; exhibiting trustworthiness and meeting expectations; and safeguarding business operations and brand integrity. ## Description As a Principal,, Data Scientist for Yahoo Mail, you will collaborate with product, design and engineering to enhance user growth strategies through product innovation. Your focus will be on designing and leading strategic research projects, utilizing your expertise in experimentation design, analytics, and AI-powered analytical approaches. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [The Golden Age of Email: Owning the Inbox in the Age of AI](https://www.wearedevelopers.com/videos/100128-the-golden-age-of-email-owning-the-inbox-in-the-age-of-ai) - [Improving quality with Agentic AI with Rovo Dev and Xray](https://www.wearedevelopers.com/videos/2005-improving-quality-with-agentic-ai-with-rovo-dev-and-xray) - [Data Governance in the Era of AI](https://www.wearedevelopers.com/videos/1622-data-governance-in-the-era-of-ai) - [Making Data Warehouses fast. 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