Senior Data Scientist

Responsibilities:

• Advanced Analytics: Conduct comprehensive analysis of product usage, user behavior, and performance metrics to identify opportunities for improvement.
• Experimentation Design & Management: Design, implement, and manage A/B tests, causal analysis and other experiments. Define clear hypotheses, target segments, and success metrics.
• Experimentation Analysis: Analyze experiment results using statistical methods, providing detailed reports and recommendations. Identify statistically significant findings and translate them into actionable insights.
• KPI Definition & Tracking: Define key performance indicators (KPIs) and establish robust tracking and reporting mechanisms.
• Dashboarding & Visualization: Develop and maintain dashboards to visualize experiment results, key metrics, and trends, making data accessible and understandable to stakeholders.
• Collaboration: Work closely with product managers, engineers, designers, and machine learning scientists to implement and iterate on experiment findings and product improvements.
• Data Storytelling: Communicate complex data insights and experiment results clearly and compellingly to diverse audiences, including leadership.
• Data Integrity: Ensure data accuracy and integrity for all analysis and experimentation.
• Methodology Development: Contribute to the development and improvement of our experimentation methodologies and best practices.

Qualifications:

• Bachelor's Degree in Computer Science, Computer Engineering, Data Analytics, Mathematics, Statistics, Information Systems, Economics, or other quantitative discipline
• 5+ years of relevant experience as a Data Scientist
• Strong proficiency in data analysis, statistical modeling, and data visualization.
• Proven experience in designing, implementing, and analyzing A/B tests and other experiments.
• Solid understanding of statistical significance and hypothesis testing.
• SQL is a must. Python is nice to have. Any experience with Looker is also desirable.
• Knowledge of data science concepts and methodologies.
• Excellent communication and presentation skills, with the ability to explain complex data insights.
• Strong analytical and problem-solving skills.
• Experience working in a product-driven environment.
• Attention to detail and a commitment to data accuracy.