Staff Data Scientist
Mission Lane- Full Time
- Senior (5 to 8 years)
Candidates should possess a Bachelor's degree in a quantitative field such as Statistics, Mathematics, Computer Science, or a related discipline, and ideally have a Master's degree. Strong experience in machine learning, statistical modeling, and data analysis is required, along with proficiency in programming languages like Python or R. Experience with SQL and cloud computing platforms is also beneficial.
As a Staff Data Scientist, ML - Growth, you will develop and implement predictive models to understand customer behavior, optimize marketing campaigns, refine customer segmentation, and validate attribution models. You will also identify and model High-Value Actions, design and execute A/B tests, collaborate with engineering and marketing teams, and ensure data-driven insights are integrated into decision-making processes to enhance marketing efficiency and drive growth.
Direct-to-consumer e-commerce for fashion and home essentials
Quince offers high-quality fashion and lifestyle products through its online retail platform. The company sources its products directly from manufacturers worldwide, which allows it to provide premium items at lower prices compared to traditional retail stores. Quince's product range includes clothing like dresses and blouses, as well as home essentials such as bed sheets. This direct-to-consumer model appeals to a diverse customer base, from those seeking stylish clothing to those in need of quality home goods. Quince differentiates itself from competitors by eliminating middlemen, ensuring affordability without compromising on quality. The company's goal is to make luxury accessible to everyone while fostering a community of satisfied customers who share their experiences on social media.