Senior Data Scientist

**About Coursera + Udemy** 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](https://blog.coursera.org/coursera-and-udemy-are-now-one-company-creating-the-worlds-most-comprehensive-skills-platform/). **Why join us now?** AI is transforming how people learn, work, and grow, and the need for new skills has never been greater. Coursera brings trusted content and credentials from leading university and industry partners, while Udemy brings a dynamic skills marketplace and global network of real-world experts. By combining these strengths, we can connect more people and organizations to the skills they need, when they need them. **Shape what comes next** By joining our team, you’ll have the opportunity to reshape how the world learns and applies skills—and help millions of people participate in the new economy. Bring your ideas, expertise, and perspective to meaningful work that can make a difference at global scale. **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 are seeking a highly skilled and collaborative Senior Data Scientist to join our Data Science team. In this role, you will report directly to the Director of Data Science and play a pivotal role in shaping both our marketing and product strategies through data-driven insights and analytics. You will leverage your expertise in user behavior tracking, user segmentation, marketing performance measurement, instrumentation, A/B testing, and advanced analytics techniques to gain a deep understanding of user interactions and marketing effectiveness. Your insights will directly inform product development, enhance user experience, optimize campaign performance, and drive engagement across various segments. Our ideal candidate possesses strong analytical skills, business acumen, and a deep understanding of marketing and product principles, along with the ability to translate analysis into actionable recommendations. You should have excellent written and verbal communication skills and excel in collaboration, working closely with cross-functional teams—including marketing managers, product managers, designers, and engineers—to ensure that data informs decision-making across both product and marketing. **Responsibilities:** - 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. **Basic Qualifications:** - 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. **Preferred Qualifications:** - Familiarity with the educational technology sector, specifically with platforms like Coursera - Experience with Airflow, Databricks and/or Looker - Experience with Amplitude **Compensation** At Coursera, we offer competitive, zone-based pay aligned to your location, experience, and role level. Our total rewards package goes beyond salary, with comprehensive health and wellness benefits, bonus and RSU equity programs, and global perks designed to help you grow and thrive wherever you are. This role is only available for hire in **Mexico City**. Coursera offers competitive pay and fair compensation practices across all regions. Job titles may span multiple career levels, and the targeted hiring annual base salary range for this role in Mexico City is **MXN 960,000 - MXN 1,200,000**. Actual compensation will depend on factors such as experience, education, transferable skills, business needs, and location. This range may be adjusted over time and may include eligibility for variable pay, equity, and comprehensive benefits. For more information about how Coursera collects and uses your personal information, please see our [Coursera + Udemy Global Applicant Privacy Notice](https://files.clinchtalent.com/1d7f2c0f91ebf75d580f56447fa54859/2acb24eb91f1e23b90ac9e9285de5aaf/Global%20Applicant%20Privacy%20Notice.pdf). To protect against recruitment fraud, Coursera + Udemy recruiters only communicate via official 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.](https://forms.gle/Mb8UktwuaJAukb3H7) 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 .