Senior Data Scientist, Marketing Analytics

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 162 million registered learners as of September 30, 2024.

Coursera partners with over 350 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. 

Coursera has a commitment to enabling flexibility and workspace choices for employees. Our interviews and onboarding are entirely virtual, providing a smooth and efficient experience for our candidates. As an employee, we enable you to select your main way of working, whether it's from home, one of our offices or hubs, or a co-working space near you.

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 be instrumental in shaping our marketing strategies through in-depth analytics. You will leverage your expertise in user segmentation, marketing performance measurement, A/B testing, and advanced analytics techniques to gain insights into marketing effectiveness and inform strategic decisions.

Our ideal candidate possesses strong analytical skills, a deep understanding of marketing principles, and the ability to translate analysis into actionable recommendations. You should excel in communication and collaboration, working closely with cross-functional teams—including marketing managers, product managers, and engineers—to ensure that data drives marketing decision-making and optimizes campaign performance.

Responsibilities:

• Collaborate with marketing teams to define KPIs and assess the impact of marketing efforts on business goals.
• Design and implement strategies for tracking marketing campaigns and user interactions, ensuring best practices for data collection.
• Develop and maintain data pipelines for seamless access to marketing analysis.
• Design interactive dashboards and reports to visualize data and share insights with stakeholders, including regular reporting on marketing performance metrics.
• Create and refine attribution models to evaluate marketing channel effectiveness.
• Conduct A/B testing and incrementality tests to determine the impact of marketing initiatives on business objectives.
• Develop propensity models based on user activity to enhance targeting efforts for various business segments.
• Leverage statistical analysis and predictive modeling to inform marketing strategy, customer segmentation, and retention initiatives.

Basic Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Engineering, Statistics, or a related technical field.
• 5+ years of experience using data to advise marketing or business teams, with a focus on marketing analytics.
• 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 and A/B testing methodologies.
• Intermediate proficiency in data visualization tools (e.g., Looker, Tableau, Power BI) and a willingness to learn new tools as needed.
• 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

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