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Data Scientist, Product Analytics

SpringCube

Full time - Associate/Junior Executive

Social Networking & Media

Singapore ( Onsite )

Published 4 weeks ago

Salary: SGD5,000 - SGD10,000

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Job Description

The SpringCube team curated the following job opportunity to help you in your

job search. Explore the position below to find your next career move.

Company Overview

A leading technology company builds technologies that help people connect, find communities, and grow businesses. When their flagship product launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, the company is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at this company help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

Data Scientist, Product Analytics

Data Scientist, Product Analytics Responsibilities

  • Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches.
  • Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses.
  • Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends.
  • Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations.
  • Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions.

Minimum Qualifications

  • Bachelor’s degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience.
  • A minimum of 4+ years experience doing quantitative analysis
  • Fluency in SQL, R, or Python
  • 4+ years experience leading product analytics and influencing product roadmap
  • 4+ years experience designing and running A/B tests
  • Experience understanding ecosystems, user behaviors and long-term product trends
  • Proven experience leading data-driven projects from definition to execution: defining metrics, experiment design, communicating actionable insights.

Preferred Qualifications

  • Masters or Ph.D. Degree in a quantitative field.

Disclaimer

SpringCube curates tech job listings from various company websites to support tech professionals in Singapore.

  1. No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality.
  2. No Client Relationship: This company is not a client of SpringCube unless stated.
  3. To Apply: Click the “Apply” button to be redirected to the hiring company’s application page for this job.
  4. No Liability: SpringCube is not liable for inaccuracies.