AI-First Data Scientist

🕒 Dezembro 13, 2025

🌵 Arizona, Florida, +15 estados a mais – Remoto

🌵 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

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CSC Generation

SiteLinkedInTodas as Vagas

1001 - 5000 funcionários

🛒 Varejo

🛍️ Comércio Eletrônico

💰 Venture Round em 2019-01

Retail • eCommerce • AI

A CSC Generation é uma plataforma de tecnologia de varejo que incrementa o crescimento da receita e a gestão de margem através de automação e inteligência artificial. A empresa gerencia um portfólio diversificado de 325. 000 produtos online e recebe mais de 10 milhões de visualizações mensais em suas marcas. A CSC Generation se especializa em varejo, comércio eletrônico e atacado, com um compromisso de expandir adquirindo marcas bem-sucedidas. Fundada em 2016 por Justin Yoshimura, a CSC Generation adquiriu várias marcas conhecidas, incluindo One Kings Lane e Sur La Table, e continua a buscar novas marcas para integrar à sua rede. A empresa oferece amplas oportunidades de carreira e foca em criar um ambiente de trabalho inspirador e desafiador.

Descrição

• Develop and deploy end-to-end ML pipelines using modern MLOps practices, cloud-native platforms (e.g., AWS Sagemaker), and scalable infrastructure. • Conduct causal analysis and treatment effect estimation using DML, causal forests, uplift modeling, and other counterfactual inference techniques to guide high-stakes business strategy. • Build, train, and optimize predictive and prescriptive models for use cases like pricing, promotions, inventory, marketing attribution, and personalization. • Integrate models into production systems and monitor their performance using advanced observability tools (yes, even Happyface), including diagnosing drift and data quality issues. • Partner directly with business leaders to translate ambiguous business problems into machine learning frameworks that deliver measurable ROI. • Collaborate with engineering teams to improve data pipelines, ensure model reproducibility, and maintain version-controlled, CI/CD-enabled ML workflows. • Continuously research and apply emerging techniques in AI, including generative AI, automated feature engineering, and reinforcement learning. • Take complex, high-impact problems end to end - from exploration and feature design through model selection, backtesting, and production deployment with clear impact metrics. • Design robust experiment and quasi-experiment setups (A/B tests, holdouts, staggered rollouts) and recommend approaches when fully randomized tests are not feasible.

🎯 Requisitos

• 5+ years of experience in applied data science, machine learning engineering, with a proven track record of deploying ML models into production. • Master or PhD degree in Data Science, Computer Science, Statistics, Economics, or related quantitative field. • Expertise in causal inference frameworks—especially Double Machine Learning (DML), A/B testing, uplift modeling, and other counterfactual methods. • Strong proficiency in Python or R, with hands-on experience in SQL, Jupyter, Git, and cloud ML platforms (AWS Sagemaker experience preferred). • Familiarity with MLOps tools for experiment tracking, model registry, reproducibility, and automated deployment. • Experience working with large datasets, distributed computing frameworks, and data engineering best practices. • Strong experience applying advanced causal and time-series methods in real-world settings, including diagnosing bias, drift, and data quality issues. • Demonstrated ability to independently take ambiguous, cross-functional problems from zero to a deployed ML solution with clear success metrics and post-launch evaluation.

🏖️ Benefícios

• Executive Access: Work directly with brand CEOs and senior leadership, solving real business problems and earning mentorship from top operators. • AI-First Skill Building: Get hands-on with the most advanced AI tools in the market. From automation to prompt engineering, you’ll build a modern tech stack that sets you apart in any industry. • Accelerated Career Path: High performers are quickly entrusted with greater responsibility, new challenges, and leadership opportunities across our portfolio of brands. • Competitive Benefits: Paid time off policies, 401(k)/RRSP match, medical/dental/vision and a variety of supplemental policies, and employee discounts at our portfolio companies.