Sr. Data Scientist

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 148 million registered learners as of March 31 2024 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 We are seeking a highly skilled and collaborative Senior Data Scientist to join our team Reporting to the Director of Data Science you will work alongside and provide technical guidance to a subset of our Analytics and Insights group and provide support to a few business lines including Industry and University Partnerships and Content Credentials supporting Product Marketing Content Finance Services and more As a Senior Data Scientist you will influence strategies and roadmaps for business units within your purview through actionable insights Your responsibilities will include forecasting content performance informing content acquisition and prescribing improvements addressing A B testing setups and reporting answering ad-hoc business questions defining metrics and goals building and managing dashboards causal inference and ML modeling supporting business event tracking and unification and more The ideal candidate will be a creative and collaborative Data Scientist who can proactively drive results in their areas of focus and provide guidance and best practices around statistical modeling and experimentation data analysis and data quality Responsibilities As a Senior Data Scientist you will assume responsibility for guiding the planning assessment and execution of our content initiatives and the subsequent engagement and learner and student success You will play a key role in identifying gaps in content and proposing ways to acquire new targeted content or enhance existing content in addition to creating and leveraging forecasts of content pre and post launch defining KPIs and creating reports for measuring the impact of diverse tests product improvements and content releases In this position you will guide other Data Scientists and provide technical feedback throughout various stages of project development including optimizing analytical models reviewing code creating dashboards and conducting experimentation You will examine and prioritize projects and provide leadership with insightful feedback on results Your role will require that you analyze the connection between our consumer-focused business and our learner s pathway to a degree and optimize systems to effectively lead to the optimal outcome for our learners In this position you will collaborate closely with the data engineering and operations teams to ensure that we have the right content at the right time for our learners You will also analyze prospect behavior to identify content acquisition and optimization opportunities that promote global growth in the Consumer and Degrees business and assist content marketing and product managers in developing and measuring growth initiatives resulting in more lives changed through learning In this role you ll be directly involved in the planning measurement and evaluation of content engagement and customer success initiatives and experiments Proactively identify gaps in content availability and recommend targeted content acquisition or improvement to existing content Define and develop KPIs and create reports to measure impact of various tests content releases product improvements etc Mentor Data Scientists and offer technical guidance on projects dashboard creation troubleshooting code statistical modeling experimentation and general analysis optimization Run exploratory analyses uncover new areas of opportunity create and test hypotheses develop dashboards and assess the potential upside of a given opportunity Work closely with our data engineering and operations teams to ensure that content funnel tracking supports product needs and maintain self-serve reporting tools Advise content marketing and product managers on experimentation and measurement plans for key growth initiatives Basic Qualifications 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 Strong applied statistics and data visualization skillsProficient 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 Content Subscription business Experience partnering with SaaS sales and or marketing organizations Experience working with Salesforce and or Marketo data Experience with Airflow Databricks and or Looker Experience with Amplitude If this opportunity interests you you might like these courses on Coursera LI-AK1Coursera is an Equal Employment Opportunity Employer and considers all qualified applicants without regard to race color religion sex sexual orientation gender identity age marital status national origin protected veteran status disability or any other legally protected class If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process please contact us at accommodations coursera org For California Candidates please review our here For our Global Candidates please review our here LI-Remote