Staff Data Scientist, Quince

Growth

Salary not provided
SQL
Python
Tableau
Looker
Senior level
Remote in US
Quince

Affordable luxury fashion and home goods brand

Be an early applicant

Quince

Affordable luxury fashion and home goods brand

201-500 employees

B2CRetailLifestyleFashionFurnitureeCommerce

Be an early applicant

Salary not provided
SQL
Python
Tableau
Looker
Senior level
Remote in US

201-500 employees

B2CRetailLifestyleFashionFurnitureeCommerce

Company mission

To create products of equal or greater quality than the leading luxury brands at a much lower price.

Role

Who you are

  • We are looking for passionate individuals excited about revolutionizing the way people purchase essential goods through cutting-edge data science and AI solutions
  • 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
  • Statistical and machine learning techniques, and causal inference
  • Data Science libraries in a programming or scripting language
  • Growth and digital marketing

What the job involves

  • 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
  • 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

Our take

The rise in fast fashion has brought widespread awareness of the alarming waste of resources and the significant environmental impact caused by the industry. Recognizing these concerns, Quince is looking to address these issues and offer a more sustainable alternative to consumers.

Quince is a direct-to-consumer brand that offers high-quality products at lower prices by cutting out the middleman. The company focuses on providing wardrobe staples and home goods, with an emphasis on minimalism, simplicity, and timeless designs.

Quince works directly with factories to produce inventory on a near-just-in-time basis. By eliminating unnecessary intermediaries, Quince can streamline the supply chain and reduce financial and environmental waste. This approach allows Quince to ship goods directly to consumers' doorsteps, minimizing transportation and warehousing costs and as a result, providing customers with a more efficient and sustainable shopping experience.

Kirsty headshot

Kirsty

Company Specialist

Insights

Top investors

Few candidates hear
back within 2 weeks

58% employee growth in 12 months

Company

Funding (1 round)

May 2023

$77m

SERIES B

Total funding: $77m

Company values

  • Quality: Quality shouldn’t be a luxury. We choose premium materials and designs that stand the test of time. Our products feel nicer and last longer, on purpose
  • Sustainability: Sustainability is built into everything we do. Whenever possible, we choose organic materials, environmentally conscientious packaging and ethical business practices
  • Affordability: Everyone should have access to nice things. We keep prices low by using a factory-direct model that cuts out the supply-chain middlemen and reduces costs

Company HQ

SoMa, San Francisco, CA

Leadership

Graduated from Stanford University with an MBA in Finance. Previously the Founder and CEO of Lolli and Pops as well as the Director of Strategy at TechTurn.

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