Sr. Data Scientist, Product Analytics

Job Description

Coursera is seeking a Senior Data Scientist to join their Data Science team. In this role, the Senior Data Scientist will report to the Director of Data Science and will play a pivotal role in shaping product strategy through data-driven insights and analytics. The ideal candidate will possess strong analytical skills, business acumen, and the ability to translate analysis into actionable recommendations that drive product improvements and user engagement.

Role Involves:

• Designing and implementing instrumentation strategies for accurate user interaction tracking.
• Developing and maintaining data pipelines for seamless data flow and accessibility.
• Analyzing user behavior to provide actionable insights for product enhancements.
• Conducting A/B testing to evaluate the impact of product features.
• Performing advanced analytics to uncover trends in user data.
• Collaborating with cross-functional teams to define KPIs.
• Analyzing user feedback and survey data to identify areas for improvement.
• Creating interactive dashboards and reports to visualize data.
• Leveraging statistical analysis and predictive modeling to inform product roadmap.

Requirements:

• Bachelor’s or Master’s degree in Computer Science, Engineering, Statistics, or a related field.
• 7+ years of experience using data to advise product or business teams, with a focus on product analytics.
• Strong SQL skills and proficiency in statistical programming languages such as Python.
• 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).
• Excellent business intuition and project management abilities.
• Effective communication and presentation skills.

Coursera offers:

• A flexible work environment, allowing employees to work from home, in an office, or in a co-working space.
• Opportunity to work with a globally diverse team.