Staff Data Scientist

Summary

Quince is a retail and tech company that aims to provide high-quality essential goods at affordable prices. They are seeking a Growth Data Scientist with 5+ years of experience in relevant industry, proficient in Python and SQL, and skilled in statistical and machine learning techniques, among other qualifications.

Requirements

• MS or PhD in statistics, mathematics, engineering, computer science, economics or another quantitative field
• 5+ years of experience as a growth data scientist in relevant industry
• Proficient in Python and SQL
• Excellent communication and presentation skills
• Experience with BI platforms such as Looker, Tableau etc

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

Preferred Qualifications

Strong problem-solving skills with the ability to think critically and strategically about business challenges