Staff Data Scientist, ML - Growth

Position Overview

• Location Type: Remote
• Job Type: Full-time
• Salary: Not specified

About Quince: Quince was started to challenge the existing idea that nice things should cost a lot. Our mission was simple: create an item of equal or greater quality than the leading luxury brands and sell them at a much lower price.

Our Values:

• Customer First
• High Quality
• Essential design
• Always a better deal
• Environmentally and Socially conscious

Ideal Candidate: Quince is a retail and technology company co-founded by a team that has extensive experience in retail, technology and building early stage companies. You’ll work with a team of world-class talent from Stanford GSB, Google, D.E. Shaw, Stitch Fix, Urban Outfitters, Wayfair, McKinsey, Nike etc. We are looking for passionate individuals excited about revolutionizing the way people purchase essential goods through cutting-edge data science and AI solutions. As part of our centralized data science team, you’ll play a pivotal role in optimizing and automating decision-making processes while delivering actionable business insights. As a Growth Data Scientist at Quince, you will spearhead data science initiatives to refine our growth strategies and methodologies. Your contributions will significantly enhance marketing efficiency and drive growth, giving you the chance to make a substantial impact on the future success of Quince.

Responsibilities

• Develop and implement predictive models and advanced analytics to understand customer behavior, lifetime value, and churn.
• Utilize statistical and machine learning techniques to optimize marketing campaigns and personalization efforts.
• Develop and refine customer segmentation models to enable targeted marketing efforts.
• Develop and refine attribution models to understand the impact of different marketing channels and touchpoints on customer conversion and validate the model accuracy.
• Optimize budget allocation on paid channels to maximize ROI.
• Identify and model key High-Value Actions (HVAs) using causal inference that drive increased customer engagement and repeat purchases.
• Design, execute, and analyze A/B tests and other experiments to validate hypotheses and inform growth strategies.
• Work closely with engineering, product, and marketing teams to integrate data-driven insights into decision-making processes.
• Partner with data engineering teams to ensure the availability and quality of data.

Requirements

• (No specific requirements listed in the provided text)

Application Instructions

• (No application instructions listed in the provided text)