
10,000+ employees
Founded 1962
🛒 Retail
🛍️ eCommerce
👥 B2C
💰 $360M Post-IPO Debt - Kohl’s on 2025-05
Retail • eCommerce • B2C
Kohl's is a large U. S. omnichannel department store chain that operates nationwide brick-and-mortar stores and an online shopping platform, selling apparel, home goods, beauty products (including a Sephora at Kohl’s partnership), and other general merchandise. The company emphasizes customer-first retailing, inclusive workplace culture, and operates support functions such as distribution centers, credit and call centers, and design and corporate offices.
🔥 4 hours ago
Where this job comes from
Posted on Kohl's's careers page, not through a job board
First seen by Remote Rocketship 4 hours ago
Still open on Kohl's's site. Checked 53 minutes ago.

10,000+ employees
Founded 1962
🛒 Retail
🛍️ eCommerce
👥 B2C
💰 $360M Post-IPO Debt - Kohl’s on 2025-05
Retail • eCommerce • B2C
Kohl's is a large U. S. omnichannel department store chain that operates nationwide brick-and-mortar stores and an online shopping platform, selling apparel, home goods, beauty products (including a Sephora at Kohl’s partnership), and other general merchandise. The company emphasizes customer-first retailing, inclusive workplace culture, and operates support functions such as distribution centers, credit and call centers, and design and corporate offices.
• Set strategy and roadmap and serve as directive lead for personalized customer experiences using advanced analytics • Lead a team using big data and advanced analytical techniques to optimize customer engagement and lifetime value • Use customer-level 1:1 analysis/modeling for targeting initiatives • Consolidate learnings for personalization initiatives and strengthen data-based targeting • Partner with Marketing, Pricing, Digital, Merchandising, and Store leadership to identify learning opportunities, design experiments, measure results, and scale successful initiatives • Oversee activation of tests, model runs, segmentation, and stakeholder timelines • Document analytics assets and tests and capture insights • Partner with Technology Machine Learning Engineering to roll out modeling solutions in production • Liaise with Personalization, Customer Strategy, and Media teams to identify modeling use cases and optimize model usage • Develop talent, provide coaching and feedback, and build organizational partnerships • Manage multiple strategic initiatives while using communication, storytelling, and data visualization skills • Perform additional assigned tasks
• Master’s Degree in quantitative areas such as Applied Mathematics, data science or related field • 7+ years of relevant analytics experience • 4+ years of leadership experience or oversight of a team • Proficient in Python for modeling, SQL for data manipulation, and Git • Experience with developing and scaling predictive models and optimization algorithms (retail preferred) • Strong understanding of experimentation design and causal inference (A/B testing, causal modeling, test-and-learn frameworks) • Advanced proficiency in data analysis, statistical methods and translating data into actionable insights • Preferred: Ph.D. in hard sciences, computer science, engineering, or other applicable field • Preferred: Ability to influence, collaborate and partner with teams and leaders across an organization • Preferred: Experience with cutting edge frameworks such as AgentAI, Deep Learning
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