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Quince

Staff Data Scientist - Growth

Remote US
Python SQL Unreal Machine Learning
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Description
OUR STORY
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
EVERYONE SHOULD BE ABLE TO AFFORD NICE THINGS. Quality shouldn’t be a luxury. We’re proud of our mission to bring the world’s highest quality goods to people at affordable prices.

QUALITY IS MORE THAN MATERIALS. True quality is a combination of premium materials and high production standards.

WE FOCUS ON THE ESSENTIALS. From the perfect crewneck sweater to hotel quality sheets, we're all about high quality essentials that bring enjoyment to daily life.

WE’RE INNOVATING TO MAKE UNREAL PRICES A REALITY. Our uniquely developed factory-direct model lets us offer exceptionally high quality goods for much lower prices than our competitors.

ALWAYS A BETTER DEAL. We believe in real price transparency, for both our customers and factory partners. This way, everyone gets a better deal.

FAIR FACTORIES. We are committed to working with factories that meet the global standards for workplace safety and wage fairness.

OUR TEAM AND SUCCESS
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, Wish.com, D.E. Shaw, Stitch Fix, Urban Outfitters, Wayfair, McKinsey, Nike etc. 

THE IDEAL CANDIDATE
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 required for analysis.
  • Stay up to date with the latest trends, tools, and best practices in growth marketing and data science.

NEEDED SKILLS:

  • 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
  • Hands-on experience applying machine learning, predictive modeling, causal inference to drive growth
  • Strong problem-solving skills with the ability to think critically and strategically about business challenges
  • Proficient in Python and SQL
  • Excellent communication and presentation skills
  • Experience with BI platforms such as Looker, Tableau etc.
  • Move fast, be a team player, and kind

DEEP KNOWLEDGE IN:

  • Statistical and machine learning techniques, and causal inference
  • Data Science libraries in a programming or scripting language
  • Growth and digital marketing
Quince
Quince
E-Commerce Logistics Retail Retail Technology

1 applies

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