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Coursera was established in 2012 by Stanford Computer Science professors, Andrew Ng and Daphne Koller, with the aim of providing universal access to top-quality learning. As of June 30, 2023, it is now one of the biggest online learning platforms globally, with 129 million registered users.
Coursera, in collaboration with over 300 top universities and industry partners, provides a broad range of content and credentials that include courses, Specializations, Professional Certificates, Guided Projects, bachelor's, and master's degrees. Worldwide institutions utilize Coursera to upskill and reskill their employees, citizens, and students in areas like data science, technology, and business. Coursera became a B Corp in February 2021.
Join us in our quest to create a world where anyone, anywhere can change their life through access to education. We are looking for skilled individuals who share our ambition and desire to change the way the world learns.
At Coursera, we are dedicated to forming a globally diverse team and are excited to provide employment opportunities to people in any country where we have a legal entity. We require candidates to have valid work permissions and a significant timezone overlap with their team to facilitate efficient collaboration. As a remote-first company, our interviews and onboarding processes are entirely virtual, ensuring a seamless experience for our candidates.
Job Overview:
We are looking for a highly skilled and cooperative Staff Data Scientist to join our team. In this role, you'll report to the Director of Data Science, work with a part of our Analytics and Insights group, and provide support to various business lines. As a staff data scientist, you'll influence the strategies and plans for business units through actionable insights.
The perfect candidate will be a creative and cooperative Data Scientist who can drive results and provide guidance on statistical modeling, data analysis, and data quality in their areas of focus.
Your responsibilities as a staff data scientist will include guiding the planning, evaluation, and execution of our content initiatives, engagement, and learner and student success. You will define and develop KPIs, create reports, run exploratory analyses, offer technical guidance on projects, and use data to guide product or business teams.
Basic Qualifications:
You need to have an applied math, computer science, statistics, or a related technical field background, experience using data to drive product or business teams, and proficiency in at least one scripting language, one statistical software package, and SQL.
Preferred Qualifications:
Experience in EdTech or Content Subscription business, experience working with Salesforce and/or Marketo data, and familiarity with Airflow, Databricks and/or Looker, and Amplitude will be considered an advantage.
If this opportunity excites you, we recommend these Coursera courses: "Go Beyond the Numbers: Translate Data into Insights".
