Quince is looking to revolutionize the way people purchase essential goods through cutting-edge data science and AI solutions, aiming to optimize and automate decision-making processes and deliver actionable business insights to enhance marketing efficiency and drive growth.
Requirements
- Hands-on experience applying machine learning, predictive modeling, causal inference to drive growth.
- Deep knowledge in: Statistical and machine learning techniques, and causal inference.
- Deep knowledge in: Data Science libraries in a programming or scripting language.
- Deep knowledge in: Growth and digital marketing.
- Proficient in Python and SQL.
- 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.
Other
- MS or PhD in statistics, mathematics, engineering, computer science, economics or another quantitative field AND 5+ years of experience as a growth data scientist in relevant industry.
- Strong problem-solving skills with the ability to think critically and strategically about business challenges.
- Excellent communication and presentation skills.
- Move fast, be a team player, and kind.
