Data Scientist II

Coursera Coursera · Consumer · Canada · Data Science

Data Scientist II at Coursera, focusing on product analytics to drive data-driven decision making and personalized learning experiences. The role involves analyzing A/B tests, creating dashboards, and translating complex data findings into actionable recommendations for product teams. While the company heavily utilizes AI and the role may use AI tools, the core craft is not building AI models but rather using data to improve the product.

What you'd actually do

  1. Develop an understanding of Coursera’s products, business, and learners to tie insights and analysis to actionable recommendations.
  2. Analyze the results of A/B tests and conduct deep dives on our learner and product experiences.
  3. Create dashboards and set up systems and tools for tracking product metrics.
  4. Create leverage by enabling Product Managers to better self-serve data on their product area.
  5. Present findings and recommendations to product teams and cross-functional partners in a clear and concise manner.

Skills

Required

  • SQL
  • Python
  • R
  • BI tools (Sigma, Databricks, Looker, Tableau)
  • A/B testing
  • Data analysis
  • Dashboarding
  • Communication skills
  • Product sense

Nice to have

  • Experience leveraging AI tools to accelerate data analysis, generate insights, or enhance analytical workflows
  • Familiarity with online education platforms, specifically with platforms like Coursera and Udemy

What the JD emphasized

  • strong analytical and dashboarding skills
  • familiarity with A/B testing
  • good product sense
  • ability to translate analysis into actionable recommendations
  • Strong SQL skills
  • proficiency with at least one scripting language (e.g. Python, R)
  • Proficiency in BI tools (e.g. Sigma, Databricks, Looker, Tableau)
  • Excellent communication skills
  • translate complex data findings into actionable insights
  • Strong attention to detail
  • ability to manage multiple projects simultaneously