Data Scientist, Data Insights

3+ years of experience in a Data Scientist or Product Analyst role. Expert proficiency in SQL. Strong proficiency in Python or R. Proven experience designing, launching, and analyzing A/B tests or other product experiments. Experience with cloud data warehouses (e.g., Snowflake, Redshift, BigQuery). Experience with data visualization tools (e.g., Sigma, Tableau, Looker). Advanced knowledge of statistical methods (regression, hypothesis testing, time series analysis). Demonstrated ability to translate business questions into analytical projects. Excellent verbal and written communication skills. Demonstrated ability to work independently.

Analyze user behavior data and build product metrics. Run and measure product experiments (A/B tests). Develop and maintain key performance indicators (KPIs). Provide actionable insights on user engagement and growth. Build deep dive reports for Executive Leaders. Collaborate with engineering teams on data logging and instrumentation. Apply statistical modeling and machine learning techniques. Design and implement data visualizations and dashboards. Ensure data quality and integrity. Partner with cross-functional teams. Mentor junior analysts on best practices.