Product Data Scientist: Payments Strategy & Impact

Socket.dev

Mountain View (CA)

On-site

USD 138,000 - 197,000

Full time

10 days ago

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Job summary

Socket.dev is seeking a Data Scientist to shape our Payments analytics efforts, guiding leaders with data-driven decisions. You will coordinate across teams to dissect metrics for product, growth, and operations, and build future-looking models.

The role combines deep analytics with Gen AI tools to explore data and automate workflows, balancing multiple strategic initiatives. Expect leadership in measurement frameworks, driver trees, and risk/identity insights that influence Google-scale product

Qualifications

  • Bachelor's degree in quantitative field or equivalent practical experience.
  • 5 years of work experience with analysis applications and coding in Python, R, SQL, or 2 years with a Master's degree.
  • Master's degree preferred in a quantitative field.

Responsibilities

  • Identify and solve high-stakes problems, translating data into actionable insights for leadership.
  • Lead complex projects blending investigation with organizational strategy and clear recommendations.
  • Conduct end-to-end analysis including data gathering, processing, and presenting results.
  • Elevate data science through strong technical excellence and stakeholder influence.

Skills

Statistics
Data analysis
Python
R
SQL

Education

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

Job description

Socket.dev is seeking a Data Scientist to shape our Payments analytics efforts, guiding leaders with data-driven decisions. You will coordinate across teams to dissect metrics for product, growth, and operations, and build future-looking models.

The role combines deep analytics with Gen AI tools to explore data and automate workflows, balancing multiple strategic initiatives. Expect leadership in measurement frameworks, driver trees, and risk/identity insights that influence Google-scale product

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