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Revolutionize education with Coursera as a Data Scientist and leverage big data to create personalized learning experiences for millions worldwide
Overview
Salary
No salary declared 😔
Location
Canada
Nomad Friendly?
100% Remote- Worldwide
Expires
Expires at anytime
Visa
Visa sponsor
Organization summary: Coursera is a trailblazing online learning platform launched by two Stanford professors aiming to democratize education globally. With 142 million learners and partnerships with top universities and industry leaders, Coursera offers an extensive range of educational content and credentials. As a B Corp, Coursera is dedicated to making high-quality education accessible to everyone, and they're on the hunt for passionate individuals to join their diverse and remote-first team.
- Role Summary:
- Develop a deep understanding of Coursera products, business, and learner behaviors.
- Inform product design and development with data analysis and experimentation.
- Estimate the impact of projects to guide decision-making.
- Perform predictive forecasting for pricing and merchandising strategies.
- Generate presentations and dashboards for product decision-makers.
- Collaborate with engineering and operations for project launches.
- Contribute to the evaluation of AI models enhancing education.
- Role Requirements:
- Applied math, computer science, statistics, or related field background.
- 4+ years of experience in data advisory for product/business teams.
- 2+ years of experience in statistical inference for business queries.
- Strong skills in applied statistics, data visualization, and cross-functional communication.
- Proficiency in scripting languages like Python and statistical packages like R or Pandas.
- Preferred: EdTech experience, data management tools, and business intelligence tools knowledge.
If you're ready to drive change in the world of online education and your skills align with our mission, we encourage you to apply and check out relevant courses on Coursera to brush up your knowledge. Coursera is an inclusive employer, welcoming applicants from diverse backgrounds and providing accommodations for individuals with disabilities. Join us remotely and contribute to the future of learning!
Coursera was launched in 2012 by two Stanford Computer Science professors, 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 142 million registered learners as of December 31, 2023.
Coursera partners with over 325 leading university and industry partners to offer a broad catalog of content and credentials, including courses, Specializations, Professional Certificates, Guided Projects, and bachelor’s and master’s degrees. Institutions around the world use Coursera to upskill and reskill their employees, citizens, and students in fields such as data science, technology, and business. Coursera became a B Corp in February 2021.
Join us in our mission to create a world where anyone, anywhere can transform their life through access to education. We're seeking talented individuals who share our passion and drive to revolutionize the way the world learns.
We at Coursera are committed to building a globally diverse team and are thrilled to extend employment opportunities to individuals in any country where we have a legal entity. We require candidates to possess eligible working rights and have a compatible timezone overlap with their team to facilitate seamless collaboration. As a remote-first company, our interviews and onboarding are entirely virtual, providing a smooth and efficient experience for our candidates.
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 talented, creative, and collaborative data scientist to drive and support decision-making for our product and business teams -- leveraging the rich data captured as over a hundred million learners and thousands of instructors engage on the platform to deliver innovative, data-driven insights on how to create experiences that will better meet the needs and expectations of learners. Our ideal candidate has excellent analysis and statistical modeling skills, strong written and verbal communication, and an interest in expanding the reach and quality of online education. In particular, the candidate should thrive as a product-oriented thinker who helps partner teams identify usage patterns and insights from massive datasets, quantify the most critical business opportunities, and measure impacts rigorously with experimentation.
Responsibilities:
- Develop our understanding of Coursera’s products, business, and learners by analyzing learner behavior to uncover patterns, define metrics of success, and identify opportunities for improvement.
- Work closely with our Degrees Pods to inform design, product development, and improve learner success through thoughtful and effective experimentation.Â
- Estimate the potential impact of proposed projects in order to inform partner teams’ prioritization decisions (e.g. what is the projected impact on graduation rates of providing career counseling).
- Perform predictive forecasting to quantify the impact of pricing and merchandising changes on long-term revenue.
- Create insightful presentations and actionable dashboards to help product decision-makers size opportunities and evaluate performance.
- Work closely with data engineering and operations teams to ensure that new projects and products are launched with clear instrumentation to support experimentation and measurement plans.
- Partner with other data scientists to develop evaluation strategies for novel AI models that facilitate teaching and learning at scale.
Basic Qualifications:.Â
- Background in applied math, computer science, statistics, or a related technical field
- 4+ years of experience using data to advise product or business teams
- 2+ years of experience applying statistical inference techniques to business questions
- Excellent business intuition, cross-functional communication, and project management
- Proven track record of influencing to drive impact with data
- Strong applied statistics and data visualization skills
- Proficient with at least one scripting language (e.g. Python), one statistical software package (e.g. R, NumPy/SciPy/Pandas), and SQL
Preferred Qualifications:
- Experience at EdTech or online consumer product businessÂ
- Experience partnering with product organizations
- Experience with data management and orchestration tools: Airflow, Databricks and/or dbt
- Experience with business intelligence tools (Amplitude, Looker)
If this opportunity interests you, you might like these courses on Coursera:
- Go Beyond the Numbers: Translate Data into Insights
- Applied AI with DeepLearning
- Probability & Statistics for Machine Learning & Data Science
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