Data Scientist, Data Insights

3+ years of experience in a Data Scientist or Product Analyst role. Expert proficiency in SQL for data extraction and manipulation. Strong proficiency in Python or R, including relevant libraries. 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). Ability to translate business questions into analytical projects. Excellent verbal and written communication skills. Ability to work independently and drive projects.

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