Staff Data Scientist

🕒 February 7

🌵 Arizona, Florida, +15 more states – Remote

🌵 Arizona – Remote 🐊 Florida – Remote ⚜️ Louisiana – Remote 🎰 Nevada – Remote 🌲 North Carolina – Remote 🌪️ Oklahoma – Remote 🚗 Michigan – Remote 🎸 Mississippi – Remote 🏰 Missouri – Remote 🔔 Pennsylvania – Remote 🎸 Tennessee – Remote 🤠 Texas – Remote ⛷️ Utah – Remote ⚔️ Virginia – Remote ⛰️ West Virginia – Remote 🧀 Wisconsin – Remote 🦬 Wyoming – Remote

⏰ Full Time

🔴 Lead

📊 Data Scientist

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CSC Generation

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🛒 Retail

🛍️ eCommerce

💰 Venture Round on 2019-01

Retail • eCommerce • AI

CSC Generation is a retail technology platform that enhances revenue growth and unit margin management through automation and AI. The company manages a diverse portfolio of 325,000 products online and receives over 10 million monthly page views across its brands. CSC Generation specializes in retail, ecommerce, and wholesale, with a commitment to expanding by acquiring successful brands. Founded in 2016 by Justin Yoshimura, CSC Generation has acquired several well-known brands including One Kings Lane and Sur La Table, and continues to seek out new brands to join its network. The company offers extensive career opportunities and focuses on creating an inspiring and challenging work environment.

📋 Description

• Lead the design and development of ML systems that solve complex, ambiguous business problems • Make sound technical decisions on model architecture, evaluation methodology, and tradeoffs • Set standards for model validation, testing, and monitoring across the team • Identify when "good enough" is appropriate vs. when deeper investment is warranted • Debug and troubleshoot models that fail in production - understand why they fail, not just that they fail • Frame business problems as well-defined ML tasks with clear success criteria • Build robust predictive models (classification, regression, time series, causal inference) • Implement rigorous train/validation/test methodology to ensure real-world generalization • Identify and prevent data leakage, overfitting, and other failure modes before they reach production • Define metrics that align model performance with actual business outcomes • Conduct holdout testing on true out-of-sample data - recognize when CV metrics are misleading • Design and analyze experiments to measure causal impact • Communicate model limitations, uncertainty, and risk to technical and non-technical stakeholders • Partner with product, engineering, and business teams to ensure ML solutions solve real problems • Translate complex technical concepts into actionable recommendations for stakeholders • Contribute to hiring and technical interviews

🎯 Requirements

• MS in a quantitative field (Statistics, Computer Science, Operations Research or related discipline) • 7+ years applied ML / data science experience • Expert-level proficiency in Python / R, and SQL • Familiarity with cloud data & ML platforms (GCP/Vertex AI, AWS/SageMaker) • Proven track record of building production ML systems that delivered measurable business impact • Deep understanding of model evaluation methodology, experimental design, and causal inference • Ability to work with messy, incomplete, real-world data and make pragmatic tradeoffs • Strong communication and influence skills • Self-directed and autonomous. • Hands-on experience in e-commerce retail and pricing (preferred) • PhD in a quantitative field (preferred)

🏖️ Benefits

• The CSC family of brands provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, provincial, state or local laws. • The CSC family of brands is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need assistance or an accommodation due to a disability, please contact [email protected]. • Health insurance • Retirement plans • Paid time off • Flexible work arrangements • Professional development • Stock options • Wellness programs