Senior Data Scientist, Web Quality and AI Context Engineering

Responsibilities

• Collaborate closely with Engineers and Product Managers to identify quality and metric headrooms.
• Conduct rigorous analyses of datasets, apply statistical/AI methods to solve complex problems, and present actionable insights and recommendations to various stakeholders.
• Develop evaluations and measurements to guide hillclimbing and iterative improvements; and automate them in collaboration with Engineering and Product.
• Serve as an integrated partner to impel system changes and launches.
• - Collaborate closely with Engineers and Product Managers to identify quality and metric headrooms. - Conduct rigorous analyses of datasets, apply statistical/AI methods to solve complex problems, and present actionable insights and recommendations to various stakeholders. - Develop evaluations and measurements to guide hillclimbing and iterative improvements; and automate them in collaboration with Engineering and Product. - Serve as an integrated partner to impel system changes and launches.

Minimum qualifications:

Preferred qualifications:

Qualifications

• Minimum qualifications: - Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field. - 5 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 3 years of work experience with a PhD degree. Preferred qualifications: - 8 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of work experience with a PhD degree. - Past experience working on a consumer facing product or quality evaluations preferred. - Ability to apply appropriate quantitative models to real-world business problems, and solid experience with experimental design and analysis, survey design, evaluation methodologies, statistical modeling and machine learning algorithms. - Demonstrated ability to convey complex information clearly and concisely, both verbally and in writing, with a focus on drawing out key implications and actionable insights.