Senior Data Scientist

Mexico City · Mexico · 6-9 years experience · Posted Oct 16, 2026

At a glance

Coursera and Udemy are now one company, bringing together two mission-driven brands to create the world’s most powerful platform for turning learning into progress. Together, we help more than 300 million learners and 12,000+ enterprise customers build the skills they need for a world being reshaped by AI. Read more about the combined company by visiting our blog.

Coursera is seeking a highly skilled and collaborative Senior Data Scientist to join the Data Science team in Mexico City.
The role plays a pivotal part in shaping both marketing and product strategies through data-driven insights and analytics.
You will leverage expertise in user behavior tracking, user segmentation, marketing performance measurement, instrumentation, A/B testing, and advanced analytics techniques.

Collaborate with marketing and product teams to define KPIs and assess the impact of marketing efforts and product changes on business goals.
Design and implement instrumentation strategies for accurate tracking of user interactions and data collection.
Develop and maintain data pipelines to ensure seamless data flow and accessibility for analysis.
Analyze user behavior to provide actionable insights that inform product enhancements and drive user engagement.
Build and automate relevant KPIs to monitor business performance.
Conduct A/B testing and experimentation to evaluate the impact of product features and optimize user experience.
Perform advanced analytics to uncover trends and patterns in user data, guiding product development decisions.
Analyze user feedback and survey data to gain insights into user satisfaction and identify areas for improvement.
Create interactive dashboards and reports to visualize data and communicate findings effectively to stakeholders.
Leverage statistical analysis and predictive modeling to inform product roadmap and strategic decisions.

Bachelor’s or Master’s degree in Computer Science, Engineering, Statistics, or a related technical field.
6 - 9 years of experience using data to generate insights and recommendations for product or business teams.
Strong SQL skills and advanced proficiency in statistical programming languages such as Python, along with experience using data manipulation libraries (e.g., Pandas, NumPy).
Knowledge of data pipeline development and best practices in data management.
Strong applied statistics skills, including experience with statistical inference techniques, predictive modeling and A/B testing methodologies.
Intermediate proficiency in data visualization tools (e.g., Tableau, Power BI, Looker) and a willingness to learn new tools as needed.
Ability to quickly learn and leverage GenAI tools to design and implement custom automation agents.
Excellent business intuition and project management abilities.
Effective communication and presentation skills, with experience presenting to diverse teams and stakeholders, from individual contributors to executives.

Familiarity with the educational technology sector, specifically with platforms like Coursera
Experience with Airflow, Databricks and/or Looker
Experience with Amplitude