Data Scientist II

Reposted 2 Days Ago
Be an Early Applicant
Hiring Remotely in Canada
Remote
114K-142K Annually
Mid level
Consumer Web • Edtech • Enterprise Web • Social Impact
Transform lives through learning.
The Role
The Data Scientist II will analyze data to inform product decisions, conduct A/B testing, create dashboards, and present actionable insights to product teams.
Summary Generated by Built In

About Coursera

Coursera and Udemy are now one company, creating one of the world's most comprehensive skills development platforms for the AI era. This strengthens our ability to accelerate AI-powered innovation and shape how the world discovers and builds skills at a pivotal moment of change. Read more about the combined company by visiting our blog.

Coursera was launched in 2012 by Andrew Ng and Daphne Koller with a mission to provide universal access to world-class learning. Coursera partners with leading university and industry partners to offer a broad catalog of content and credentials, including courses, Specializations, Professional Certificates, and degrees. Coursera’s platform innovations — including AI-powered personalized guide and features, like Role Play and Course Builder, and role-based solutions like Skills Tracks — enable instructors, partners, and companies to deliver scalable, personalized, and verified learning. Institutions worldwide rely on Coursera to upskill and reskill their employees, students, and citizens in high-demand fields such as GenAI, data science, technology, and business, while learners globally turn to Coursera to master the skills they need to advance their careers. Coursera is a Delaware public benefit corporation and a B Corp. Coursera recently combined with Udemy to create one of the world’s most comprehensive skills development platforms.

Why Join Us

At Coursera, we’re looking for inventors, innovators, and lifelong learners ready to shape the future of education. You’ll help build global programs and tools that power online learning for millions turning bold ideas into real impact. People who thrive here are customer-first builders who move fast, simplify ruthlessly, and iterate relentlessly on the metrics that matter. 

We’re a globally distributed team that comes together intentionally for collaboration, complex problem-solving, and key milestones — creating opportunities for teams to do their best work together. Our virtual hiring and onboarding experience makes it easy to join us and start making an impact from anywhere. If you’re ready to make a global impact, help scale unique products across Coursera + Udemy, and grow your career, apply below.

Job Overview:

At Coursera, our Data Science team is helping to build the future of education through data-driven decision making and data-powered products. We drive product and business strategy through measurement, experimentation, and causal inference to help Coursera deliver effective content discovery and personalized learning at scale. We believe the next generation of teaching and learning should be personalized, accessible, and efficient. With our scale, data, technology, and talent, Coursera and its Data Science team are positioned to make that vision a reality.

We’re looking for a knowledgeable Data Scientist - Product Analytics to support decision-making for our product  teams. This role will be leveraging the rich data captured by over 200M+ learners and thousands of instructors engaging  on the platform to deliver innovative, data-driven insights on how to create experiences that will better meet the needs and expectations of learners. This role will partner closely with Product Managers (PMs) who own parts of Coursera’s educator or learner experience. Our ideal candidate possesses strong analytical and dashboarding skills, familiarity with A/B testing, good product sense, and the ability to translate analysis into actionable recommendations that drive innovative product development.

Responsibilities:

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

Basic Qualifications:

  • Background in economics, statistics, data science, computer science, or a related technical field
  • 3+ years of experience as a data scientist, data analyst, or business intelligence analyst
  • Strong SQL skills and proficiency with at least one scripting language (e.g. Python, R)
  • Proficiency in BI tools (e.g. Sigma, Databricks, Looker, Tableau) 
  • Excellent communication skills, with the ability to translate complex data findings into actionable insights
  • Strong attention to detail and the ability to manage multiple projects simultaneously

Preferred Qualifications:

  • 5+ years of experience using data to advise product, marketing, or business teams
  • Advanced proficiency with SQL and Python to produce clear and actionable insights
  • 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

If this opportunity interests you, you might like these courses on Coursera:

Go Beyond the Numbers: Translate Data into Insights
Design of Experiments
Google Advanced Data Analytics

Compensation:

Our job titles may span more than one career level. The starting base pay for this role is between $113,600 CAD and $142,000 CAD. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs, and location. The base pay range is subject to change and may be modified in the future. This role is also eligible for bonus, equity, and benefits.



#PL-1

For more information about how Coursera collects and uses your personal information, please see our Global Applicant Privacy Notice.

To protect against recruitment fraud, Coursera + Udemy recruiters only communicate via official coursera.org/udemy.com email addresses and never through personal accounts. We do not accept resumes via email or social media; please submit all applications directly through our careers page.

If you encounter suspicious recruitment activity, please report it via our Fraudulent Activity Submission Form.
Coursera is an Equal Opportunity Employer committed to building a welcoming and inclusive workplace. We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request at [email protected]

Skills Required

  • 3+ years of experience as a data scientist, data analyst, or business intelligence analyst
  • Strong SQL skills and proficiency with at least one scripting language (e.g. Python, R)
  • Proficiency in BI tools (e.g. Sigma, Databricks, Looker, Tableau)
  • Excellent communication skills, with the ability to translate complex data findings into actionable insights
  • Strong attention to detail and the ability to manage multiple projects simultaneously

Coursera Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Coursera and has not been reviewed or approved by Coursera.

  • Fair & Transparent Compensation Pay is considered competitive across many roles, supported by structured market benchmarking and clearly defined U.S. pay zones. Ongoing investment in compensation programs and market‑aligned ranges for in‑demand functions reinforce this positioning.
  • Leave & Time Off Breadth Time away programs include unlimited vacation (U.S./Canada), company days of rest, paid sick time, and paid parental leave with transitional part‑time support. This breadth of leave options contributes meaningful non‑cash value to the package.
  • Flexible Benefits A remote‑first approach is enabled through coworking access, connectivity stipends, and home‑office reimbursements. This flexibility stands out as a core strength of the total rewards offering.

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The Company
HQ: Mountain View, California
1,300 Employees
Year Founded: 2012

What We Do

Coursera was launched in 2012 by Andrew Ng and Daphne Koller with a mission to provide universal access to world-class learning. It is now one of the largest online learning platforms in the world, with 183 million registered learners as of June 30, 2025. Coursera partners with over 350 leading university and industry partners to offer a broad catalog of content and credentials, including courses, Specializations, Professional Certificates, and degrees. Coursera’s platform innovations enable instructors to deliver scalable, personalized, and verified learning experiences to their learners. Institutions worldwide rely on Coursera to upskill and reskill their employees, citizens, and students in high-demand fields such as GenAI, data science, technology, and business. Coursera is a Delaware public benefit corporation and a B Corp. We’re a global platform aiming to transform lives through learning by offering transformative courses, certificates, and degrees that empower learners worldwide to advance their careers through skill mastery. We’re looking for inventors, innovators, and lifelong learners eager to shape the future of education. If you’re ready to build the global programs and tools that fuel the power of online learning, join Team Coursera.

Why Work With Us

People who thrive at here are customer-first builders who deeply understand our learners and partners, translate their needs into simple, high-impact solutions, and refuse to stop at “good enough.” They own outcomes end to end, move fast, simplify ruthlessly and iterate relentlessly on the metrics that matter to invent the future of learning.

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