Data Scientist - L3 (Copy) at Gem Sales Demo | CA, US | Rezi

Data Scientist - L3 (Copy) at Gem Sales Demo

Data Scientist - L3 (Copy)

Gem Sales Demo · CA, US

1 months ago

Data Scientist - L3 (Copy)

Gem Sales Demo · CA, US

a month ago
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About the Role

This role involves applying quantitative analysis, data mining, and statistical modeling to provide data insights for business and product decisions. You will collaborate with product managers, engineers, product marketers, and designers to drive informed decision-making and optimize product development and adoption.

Responsibilities

  • Apply expertise in quantitative analysis, data mining, and statistical modeling to deliver impactful, objective, and actionable data insights.
  • Drive informed and timely decision-making that improves and optimizes product development, completion, and adoption.
  • Collaborate with product managers, engineers, product marketers, and designers.

Requirements

  • BS/BA degree in a technical field such as statistics, mathematics, economics, computer science or equivalent years of experience.
  • 3+ years of experience in quantitative analysis & data science or a related field.
  • 3+ years of Experience using SQL or similar big data querying languages.
  • 3+ years of Experience with programming language, such as Python or R.
  • 3+ years of experience with applied statistical techniques, such as inferential methods, causal methods, A/B testing, or statistical modeling techniques.
  • Advanced degree in applied mathematics, statistics, actuarial science, economics or related field.
  • Experience in a product-focused role at a social media and/or mobile technology company.
  • Experience using machine learning and statistical analysis for building data-driven product solutions or performing methodological research.

Skills

  • Data modeling skills to identify key product trends and new product opportunities.
  • Ability to design, implement, and track core metrics to analyze product performance.
  • Ability to build visuals, dashboards, and reports to communicate insights.
  • Ability to collaborate with engineers, product managers, and other cross-functional teams.
  • Ability to initiate and drive projects to completion with minimal guidance.
  • Understanding of Snapchat with phenomenal product sense and product understanding.
  • Quantitative analysis
  • Data mining
  • Statistical modeling
  • SQL
  • Python
  • R
  • Inferential methods
  • Causal methods
  • A/B testing
  • Machine learning

Experience Level

  • 3+ years of experience

Education Level

  • BS/BA degree in a technical field
  • Advanced degree in applied mathematics, statistics, actuarial science, economics or related field