Data Scientist, ML - Storefront at Quince

Palo Alto, California, United States

Apply Now

Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

E-commerce, RetailIndustries

Requirements

MS or PhD in statistics, mathematics, or a related field
Strong understanding of machine learning and statistical modeling techniques
Experience with model deployment and monitoring
Ability to communicate complex data insights effectively to both technical and non-technical audiences
Experience with data infrastructure and tracking
Experience with modern ML/AI techniques
Experience with data visualization tools

Responsibilities

Develop and apply machine learning and statistical models to enhance personalized site and app experiences, including product search, ranking, and recommendations
Build and optimize ranking features while contributing to end-to-end modeling pipelines using modern ML/AI techniques
Support model deployment, run experiments, and assist in monitoring model performance in production
Collaborate with product, business, and engineering teams to develop and implement data-driven solutions
Communicate findings by translating complex data insights into actionable recommendations for business stakeholders
Identify data gaps, define data requirements, and work with Engineering teams to improve data infrastructure and tracking
Share insights and best practices with Analytics and cross-functional teams to promote consistency in data-driven decision-making
Seek opportunities to automate processes and improve efficiency in model development and deployment

Skills

Key technologies and capabilities for this role

Machine LearningStatistical ModelingModel DeploymentModel MonitoringData InfrastructureRanking ModelsRecommendation SystemsSearch Optimization

Questions & Answers

Common questions about this position

Is this position remote?

Yes, this is a remote position.

What education is required for this role?

An MS or PhD in statistics, mathematics, or a related field is required.

What are the key skills needed for this Data Scientist position?

Key skills include strong understanding of machine learning and statistical modeling techniques, experience with model deployment and monitoring, ability to communicate complex data insights effectively, and experience with data infrastructure and tracking.

What are Quince's company values?

Quince's values are Customer First, High Quality, Essential Design, Always a better deal, and Environmentally and Socially Conscious.

What kind of team will I be working with at Quince?

You'll work within a centralized data science team, collaborating with product, business, and engineering teams, alongside world-class talent from Stanford GSB, Google, D.E. Shaw, Stitch Fix, Urban Outfitters, Wayfair, McKinsey, Nike, etc.

Quince

Direct-to-consumer e-commerce for fashion and home essentials

About Quince

Quince offers high-quality fashion and lifestyle products through its online retail platform. The company sources its products directly from manufacturers worldwide, which allows it to provide premium items at lower prices compared to traditional retail stores. Quince's product range includes clothing like dresses and blouses, as well as home essentials such as bed sheets. This direct-to-consumer model appeals to a diverse customer base, from those seeking stylish clothing to those in need of quality home goods. Quince differentiates itself from competitors by eliminating middlemen, ensuring affordability without compromising on quality. The company's goal is to make luxury accessible to everyone while fostering a community of satisfied customers who share their experiences on social media.

San Francisco, CaliforniaHeadquarters

2018Year Founded

$74.9MTotal Funding

SERIES_BCompany Stage

Consumer Software, Consumer GoodsIndustries

201-500Employees

Benefits

Performance Bonus

Flexible Work Hours

Remote Work Options

Risks

Increased competition from brands like Italic and Everlane may dilute Quince's market share.

Challenges in maintaining product quality as Quince scales could impact customer satisfaction.

Geopolitical tensions may disrupt Quince's global sourcing and manufacturing partnerships.

Differentiation

Quince's M2C model cuts out middlemen, offering luxury at lower prices.

The company partners with over 50 top manufacturers globally for diverse product offerings.

Quince's focus on sustainability and ethical sourcing appeals to eco-conscious consumers.

Upsides

Quince's strong social media presence boosts brand visibility and customer engagement.

The global e-commerce market expansion offers Quince opportunities to reach new customers.

Rising demand for sustainable fashion aligns with Quince's responsible sourcing practices.

Land your dream remote job 3x faster with AI

Try Jobo Free