> Markdown version of [/jobs/ext/4607683-senior-manager-measurement-and-decision-science](https://www.wearedevelopers.com/jobs/ext/4607683-senior-manager-measurement-and-decision-science). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Manager, Measurement and Decision Science - **Company:** Kohl’s, Inc. - **Location:** Menomonee Falls, WI, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** A/B Testing, Data Analysis, Big Data, Customer Data Management, Data Visualization, Python (Programming Language), Machine Learning, SQL Databases, Data Processing, Deep Learning, Git, Information Technology, Optimization Algorithms, Data Analytics - **Published:** November 6, 2026 - **Apply:** https://careers.kohls.com/job/R508573 ## About the Role * 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 * Ability to influence, collaborate and partner with teams and leaders across an organization * Experience with cutting edge frameworks such as AgentAI, Deep Learning ## Description About the Role As Senior Manager, Measurement and Decision Science, you will set strategy, roadmap and serve as directive lead to create best-in-class personalized experiences for Kohl's customers through use of advanced analytics geared towards diagnostics, customer level 1:1 modeling, as well as in-market testing. What You'll Do * Lead team that uses big data and advanced analytical techniques to optimize customer engagement and lifetime value * Use customer level 1:1 analysis/modeling for targeting initiatives * Play the lead role in consolidating learnings towards personalization initiatives that help make data based targeting more powerful over time * Partner with Marketing, Pricing, Digital, Merchandising, and Store leadership to identify learning opportunities, design experiments, measure results, and scale successful initiatives * Oversee flawless activation of tests, ensuring essential model runs, segmentation and timelines are provided to key stakeholders * Ensure relevant analytics assets and tests are documented and that any insights are captured * Partner with the Technology Machine Learning Engineering (MLE) team to implement the flawless roll-out of modeling solutions in production * Act as main liaison with business partners in Personalization, Customer Strategy and Media teams to identify use-cases for modeling projects, and optimize model usage to drive highest business impact * Foster a high-performing team environment by developing talent, providing coaching and feedback, and building strong partnerships across the organization * Manage multiple strategic initiatives in a fast-paced environment while leveraging strong communication, storytelling, and data visualization skills * Additional tasks may be assigned What Skills You Have Required * 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 * Ability to influence, collaborate and partner with teams and leaders across an organization * Experience with cutting edge frameworks such as AgentAI, Deep Learning