Senior Data Scientist - Core Ranking & AI Context

Socket.dev; Mountain View (CA); On-site; USD 174,000 - 252,000; Full time

Job summary

Socket.dev is seeking a Data Scientist to help improve product analytics and data-driven decisions in Mountain View. You will analyze large-scale datasets, apply statistical and AI methods, and present actionable insights to stakeholders.

Collaborating with engineers and product managers, you will develop evals, drive iterative improvements, and automate measurements while translating complex results into clear business actions.

Qualifications

• Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
• 5 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 3 years of experience with a PhD degree.

Responsibilities

• Work closely with engineers and product managers to identify quality and metric headrooms.
• Conduct rigorous analyses of large-scale datasets, apply statistical/AI methods to solve complex problems, and present actionable insights and recommendations to stakeholders.
• Develop evals and measurements to guide hillclimbing and iterative improvements.
• Be an integrated partner to impel system changes and launches.
• Automate such evals and measurements in collaboration with engineering and product.

Skills

Analytics to solve product problems

Python

R

SQL

Education

Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or related quantitative field

PhD degree with 3 years experience

Tools

Python

R

SQL

Job description

Socket.dev is seeking a Data Scientist to help improve product analytics and data-driven decisions in Mountain View. You will analyze large-scale datasets, apply statistical and AI methods, and present actionable insights to stakeholders.

Collaborating with engineers and product managers, you will develop evals, drive iterative improvements, and automate measurements while translating complex results into clear business actions.