Note: The job is a remote job and is open to candidates in USA. Yahoo is a leading company in digital media, and they are seeking a Principal Data Scientist for Yahoo Mail. The role involves collaborating with various teams to enhance user growth strategies and leading strategic research projects focused on data science and analytics.

Responsibilities

• Collaborate with product, design and engineering to enhance user growth strategies through product innovation
• Design and lead strategic research projects, utilizing expertise in experimentation design, analytics, and AI-powered analytical approaches

Skills

• 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)
• 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
• 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
• Experience working with AI-driven products, data platforms, or analytics workflows is a plus

Benefits

• Incentive compensation opportunities in the form of discretionary annual bonus or commissions
• Healthcare
• A great 401k
• Backup childcare
• Education stipends

Company Overview

Company H1B Sponsorship