The business is seeking to optimize and enhance the product’s performance by harnessing data and analytics to drive informed decision-making and innovations.
Requirements
Solid understanding of statistics.
Practical experience in AB testing and causal inference
Solid understanding of ML algorithms.
Practical experience in applying ML to uncover valuable insights, to improve user experience and product performance
Expert level SQL, Python skills
Excellent data visualization skills and data storytelling skills
Experience in product data science in a dynamic, innovative, and fast-paced high tech environment
Responsibilities
Initiate and execute large analysis projects to deepen understanding of customers, uncover product improvement opportunities, provide actionable recommendations, and drive impact for our business.
Develop and maintain machine learning models and statistical models to enhance the product’s performance and user experience.
Design, plan, execute and analyze experiments to evaluate the impact of product changes.
Define metrics system to measure product performance.
Create data visualizations and reports, synthesize data insights to compelling stories, to effectively communicate them to cross-function partners, stakeholders, and senior executives.
Design, develop and maintain data pipelines with outstanding craftsmanship.
Mentor others as needed to uplift the team’s capacity, and to democratize data knowledge and data insights within the company
Other
Graduate degree in a quantitative field such as mathematics, economics, statistics, engineering, computer science, etc.
5+ years of demonstrated experience working in product analytics or data science
Track record of initiating, and executing large / complex deep dive projects
Track record of developing data insights that generates business impact
In-office working environment
100% paid health insurance for employees with 90% coverage for dependents
Annual lifestyle wallet for personal wellness, learning and development, and more!
