Responsibilities:

• Work collaboratively with Product Managers, UX/UI Designers, Analytics and Engineers to lead experimentation processes: designing and measuring A/B tests that help us understand the impact of new/alternate versions of features on user behavior on ALive
• Develop a deep understanding of how our product influences user behavior, be a speaking partner to product development teams (i.e., making and giving recommendations when needed), and influence the future of our ALive platform by offering clear and persuasive insights.
• Ensure we are customer-centric by sharing insights that build customer empathy in our teams and inspire teams to solve the most important customer problems.
• Work with the Product team to select KPIs for the broader organization that motivates pursuit of the product strategy.

Qualifications

• 3-5 years of experience in data science or analytics, focusing on problem-solving and providing concrete insights; experience conducting analysis with a product/UX focus is required.
• Have a degree in economics, psychology, computer science, statistics, mathematics or another quantitative discipline.
• Are a strong insight storyteller, know how to understand and solve loosely defined problems, and produce relevant answers and actionable insights to guide product development decisions.
• Are curious and humble: ask good questions, are always excited to learn new methods, approaches, and perspectives, and are eager to investigate interesting trends in the data.
• Have strong technical skills in data wrangling and handling large datasets: can use SQL for data extraction (including complex joins, CTE, query optimization), and have a good
• Understanding of Python syntax required for data cleaning and exploratory analysis (e.g. pandas, NumPy)
• Understand statistics and data science methodologies (e.g. hypothesis testing, regressions, and other machine learning techniques such as clustering).