Manager, Advanced Analytics and Research (Remote

Data Science Role at Kohl's

In this role, you will create best-in-class data science tools to power the next generation of data science applications at Kohl's, and explore how Machine Learning (ML) and AI can be applied to new use cases that aren't well-suited for traditional CRM channel A/B testing.

What You'll Do

• Use AI/ML to explore new opportunities at Kohl's, including causal models for promo-calendar decisions, gen-AI copilots for insight discovery and explainer models that break down year-over-year performance drivers like pricing, promotions and media
• Guide store performance driving tactics leveraging store performance explainer models (including labor optimization)
• Oversee the activation of tests, ensuring essential model runs, segmentation and timelines are provided to key stakeholders
• Ensure relevant analytics assets and tests are documented and insights are captured
• Manage and influence direct reports, systems and projects to achieve unit goals per Kohl's policies and practices
• Provide leadership by exhibiting influence and expertise and driving results
• Create and promote an effective work environment by developing a common vision, setting clear objectives, expecting teamwork, recognizing outstanding performance and maintaining open communications
• Develop staff through coaching, providing performance feedback, providing effective performance assessments and establishing performance and development plans
• Influence, collaborate and partner with teams and leaders across the organization
• Additional tasks may be assigned

What Skills You Have

• Bachelor's Degree in quantitative areas such as Applied Mathematics, Data Science or a related field
• 5+ years of relevant analytics experience
• Experience coding in general-purpose languages (Python, R, SAS)
• Experience with developing and scaling predictive models and optimization algorithms for marketing use cases

• MBA and/or Master's or PhD in hard sciences, computer science, engineering or other applicable field