Senior Data Scientist, ML – Storefront

Job Category: Technology and IT
Job Type: Full Time
Job Location: USA
Company Name: Quince

Company Overview

Quince is a modern affordable luxury brand offering high-quality fashion and home essentials at exceptionally low prices—delivered straight from the factory to consumers. By leveraging a manufacturer-to-consumer (M2C) model, Quince works directly with top-tier factories to produce goods on a near just-in-time basis, eliminating costly middlemen and minimizing both financial and environmental waste.

Storefront Data Scientist

We’re looking for a passionate and innovative Storefront Data Scientist to join our centralized data science team. In this role, you’ll focus on enhancing site personalization, search, ranking, and discovery features—creating a seamless, intelligent, and highly personalized shopping experience for our customers.

Key Responsibilities

  • Design and implement advanced machine learning and statistical models to improve product search, ranking, and personalized recommendations.

  • Contribute to the full ML lifecycle—feature engineering, model training, testing, deployment, and performance monitoring.

  • Run experiments to evaluate model impact and communicate results to key stakeholders.

  • Partner closely with product managers, engineers, and business teams to deliver high-impact, data-driven solutions.

  • Translate complex findings into clear, actionable insights that inform strategy.

  • Identify data quality issues and collaborate with engineering to improve tracking and data infrastructure.

  • Advocate for best practices in modeling, experimentation, and analytics across teams.

  • Continuously seek automation opportunities and increase the efficiency of model deployment pipelines.


Desired Skills & Experience

  • MS or PhD in Statistics, Mathematics, Computer Science, Engineering, or a related field.

  • 2+ years of experience applying data science or machine learning in a business or consumer-facing setting.

  • Expertise in predictive modeling, machine learning, and Generative AI.

  • Proficient in Python and SQL; skilled with major data science libraries and ML tools.

  • Experience with BI tools like Looker or Tableau.

  • Strong communication and presentation skills—able to simplify complex ideas for non-technical audiences.

  • Highly collaborative, fast-moving, and kind team player.


Compensation

Pay Range: $150,000 – $225,000 USD
Compensation is based on role, experience, and market data. Bonus eligibility is performance-based and tied to strategic impact.


Equal Opportunity Employer

Quince is proud to be an equal opportunity employer. We celebrate diversity and are committed to fostering an inclusive environment for all employees. We do not tolerate discrimination of any kind, including on the basis of race, gender, sexual orientation, disability, or veteran status.

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