Sr. Data Scientist - Product Analytics
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 our product strategy through data-driven insights and analytics. You will leverage your expertise in user behavior tracking, instrumentation, A/B testing, and advanced analytics techniques to gain a deep understanding of how users interact with our platform. Your insights will directly inform product development, enhance user experience, and drive engagement across various segments.
Our ideal candidate possesses strong analytical skills, business acumen, and the ability to translate analysis into actionable recommendations that drive product improvements and user engagement. You should have excellent written and verbal communication skills. Collaborating closely with cross-functional teams—including product managers, designers, and engineers—you will ensure that data informs every aspect of product decision-making.
Responsibilities:
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.
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.
Collaborate with product managers, designers, and engineers to define key performance indicators (KPIs) and assess the impact of product changes.
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.
7+ years of experience using data to advise product or business teams, with a focus on product 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, 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.
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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Sr. Data Scientist - Product Analytics
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 our product strategy through data-driven insights and analytics. You will leverage your expertise in user behavior tracking, instrumentation, A/B testing, and advanced analytics techniques to gain a deep understanding of how users interact with our platform. Your insights will directly inform product development, enhance user experience, and drive engagement across various segments.
Our ideal candidate possesses strong analytical skills, business acumen, and the ability to translate analysis into actionable recommendations that drive product improvements and user engagement. You should have excellent written and verbal communication skills. Collaborating closely with cross-functional teams—including product managers, designers, and engineers—you will ensure that data informs every aspect of product decision-making.
Responsibilities:
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.
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.
Collaborate with product managers, designers, and engineers to define key performance indicators (KPIs) and assess the impact of product changes.
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.
7+ years of experience using data to advise product or business teams, with a focus on product 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, 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.
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
#LI-AK1