Senior Data Scientist

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.

Bachelor’s or Master’s degree in Computer Science, Engineering, Statistics, or a related technical field.

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.