Staff Data Scientist
Mission Lane147,000 - 179,000 USD/year
- Full Time
- Senior (5 to 8 years)
Not SpecifiedCompensation
Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
E-commerce, Fashion, MarketplaceIndustries
Requirements
The Staff Data Scientist should possess 8+ years of relevant work experience in a data or quantitative role, demonstrated success in a startup, high-growth, or fast-paced organization. A graduate degree in data science, analytics, mathematics, machine learning, computer science, or a related field is preferred. Experience in marketplace, e-commerce, or fashion/retail domains is also preferred, along with experience in web and app product environments. The candidate must demonstrate success in nontechnical, cross-functional partner communication and possess expertise in advanced statistical modeling, causal inference, experiment/test design, and working knowledge of machine learning algorithms.
Responsibilities
This role involves forming a high-level perspective on business objectives and identifying data-driven solutions, autonomously identifying business problems and taking ideas through all phases, establishing best practices for data model training and deployment, ensuring reliable model deployment into Snowflake using DBT and Git, evaluating model performance and iterating for improvement through A/B testing, mining user data to identify personalization opportunities and tracking KPIs, developing and maintaining data models in Snowflake to support analytical needs, using Python to create ML models and structure data, developing user-to-user mapping capabilities, utilizing search technologies for product discovery, analyzing message content for fraudulent activities, and collaborating with product managers, engineers, designers, and business stakeholders to provide data-driven solutions.
Skills
Dimension Reduction Techniques
Predictive Modeling
Statistical Methods
Machine Learning
Data Modeling
Snowflake
Python
Data Pipeline Management
Version Control
Collaboration with ML Engineers
Data Product Development
GOAT Group
Marketplace for authentic sneakers and apparel
About GOAT Group
GOAT Group operates four brands—GOAT, Flight Club, Grailed, and alias—focused on providing authentic sneakers, apparel, and accessories to a global community of over 50 million members in 170 countries. The company connects buyers and sellers through its platforms, ensuring product authenticity with strict verification processes. Revenue is generated through transaction fees, premium services, and partnerships. GOAT Group stands out in the competitive fashion and streetwear market by catering to sneaker enthusiasts, fashion-forward individuals, and collectors, while leveraging its technological infrastructure to create a secure and seamless marketplace experience.
Key Metrics
Bellflower, CaliforniaHeadquarters
2010Year Founded
$479.2MTotal Funding
SERIES_FCompany Stage
Consumer Software, Consumer GoodsIndustries
1,001-5,000Employees